Authors: Dr Gilbert Tang; Dr Rebecca Raper (Cranfield University). 

Topic: Considering the SDGs at all stages of new robot creation. 

Tool type: Guidance. 

Relevant disciplines: Computing; Robotics; Electrical; Computer science; Information technology; Software engineering; Artificial Intelligence; Mechatronics; Manufacturing engineering; Materials engineering; Mechanical engineering; Data. 

Keywords: SDGs; AHEP; Sustainability; Design; Life cycle; Local community; Environment; Circular economy; Recycling or recycled materials; Student support; Higher education; Learning outcomes. 

Sustainability competency: Systems thinking; Anticipatory; Critical thinking.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: SDG 9 (Industry, innovation, and infrastructure); SDG 12 (Responsible consumption and production). 

Reimagined Degree Map Intervention: Adapt and repurpose learning outcomes; More real-world complexity.

Who is this article for? This article is for educators working at all levels of higher education who wish to integrate Sustainability into their robotics engineering and design curriculum or module design. It is also for students and professionals who want to seek practical guidance on how to integrate Sustainability considerations into their robotics engineering. 

 

Premise:  

There is an urgent global need to address the social and economic challenges relating to our world and the environment (Raper et al., 2022). The United Nations Sustainable Development Goals (SDGs) provide a framework for individuals, policy-makers and industries to work to address some of these challenges (Gutierrez-Bucheli et al., 2022). These 17 goals encompass areas such as clean energy, responsible consumption, climate action, and social equity. Engineers play a pivotal role in achieving these goals by developing innovative solutions that promote sustainability and they can use these goals to work to address broader sustainability objectives. 

Part of the strategy to ensure that engineers incorporate sustainability into their solution development is to ensure that engineering students are educated on these topics and taught how to incorporate considerations at all stages in the engineering process (Eidenskog et al., 2022). For instance, students need not only to have a broad awareness of topics such as the SDGs, but they also need lessons on how to ensure their engineering incorporates sustainable practice. Despite the increased effort that has been demonstrated in engineering generally, there are some challenges when the sustainability paradigm needs to be integrated into robotics study programs or modules (Leifler and Dahlin, 2020). This article details one approach to incorporate considerations of the SDGs at all stages of new robot creation: including considerations prior to design, during creation and manufacturing and post-deployment. 

 

1. During research and problem definition:

Sustainability considerations should start from the beginning of the engineering cycle for robotic systems. During this phase it is important to consider what the problem statement is for the new system, and whether the proposed solution satisfies this in a sustainable way, using Key Performance Indicators (KPIs) linked to the SDGs (United Nations, 2018), such as carbon emissions, energy efficiency and social equity (Hristov and Chirico, 2019). For instance, will the energy expended to create the robot solution be offset by the robot once it is in use? Are there long-term consequences of using a robot as a solution? It is important to begin engagement with stakeholders, such as end-users, local communities, and subject matter experts to gain insight into these types of questions and any initial concerns. Educators can provide students with opportunities to engage in the research and development of robotics technology that can solve locally relevant problems and benefit the local community. These types of research projects allow students to gain valuable research experience and explore robotics innovations through solving problems that are relatable to the students. There are some successful examples across the globe as discussed in Dias et al., 2005. 

 

2. At design and conceptualisation:

Once it is decided that a robot works as an appropriate solution, Sustainability should be integrated into the robot system’s concept and design. Considerations can include incorporating eco-design principles that prioritise resource efficiency, waste reduction, and using low-impact materials. The design should use materials with relatively low environmental footprints, assessing their complete life cycles, including extraction, production, transportation, and disposal. Powered systems should prioritise energy-efficient designs and technologies to reduce operational energy consumption, fostering sustainability from the outset. 

 

3. During creation and manufacturing:

The robotic system should be manufactured to prioritise methods that minimise, mitigate or offset waste, energy consumption, and emissions. Lean manufacturing practices can be used to optimise resource utilisation where possible. Engineers should be aware of the importance of considering sustainability in supply chain management to select suppliers with consideration of their sustainability practices, including ethical labour standards and environmentally responsible sourcing. Robotic systems should be designed in a way that is easy to assemble and disassemble, thus enabling robots to be easily recycled, or repurposed at the end of their life cycle, promoting circularity and resource conservation. 

 

4. Deployment:

Many robotic systems are designed to run constantly day and night in working environments such as manufacturing plants and warehouses. Thus energy-efficient operation is crucial to ensure users operate the product or system efficiently, utilising energy-saving features to reduce operational impacts. Guidance and resources should be provided to users to encourage sustainable practices during the operational phase. System designers should also implement systems for continuous monitoring of performance and data collection to identify opportunities for improvement throughout the operational life. 

 

5. Disposal:

Industrial robots have an average service life of 6-7 years. It is important to consider their end-of-life and plan for responsible disposal or recycling of product components. Designs should be prioritised that facilitate disassembly and recycling (Karastoyanov and Karastanev, 2018). Engineers should identify and safely manage hazardous materials to comply with regulations and prevent environmental harm. Designers can also explore options for product take-back and recycling as part of a circular economy strategy. There are various ways of achieving that. Designers can adopt modular design methodologies to enable upgrades and repairs, extending their useful life. Robot system manufacturers should be encouraged to develop strategies for refurbishing and reselling products, promoting reuse over disposal. 

 

Conclusion: 

Sustainability is not just an option but an imperative within the realm of engineering. Engineers must find solutions that not only meet technical and economic requirements but also align with environmental, social, and economic sustainability goals. As well as educating students on the broader topics and issues relating to Sustainability, there is a need for teaching considerations at different stages in the robot development lifecycle. Understanding the multifaceted connections between sustainability and engineering disciplines, as well as their impact across various stages of the engineering process, is essential for engineers to meet the challenges of the 21st century responsibly.  

 

References: 

Dias, M. B., Mills-Tettey, G. A., & Nanayakkara, T. (2005, April). Robotics, education, and sustainable development. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation (pp. 4248-4253). IEEE. 

Eidenskog, M., Leifler, O., Sefyrin, J., Johnson, E., & Asplund, M. (2023). Changing the world one engineer at a time–unmaking the traditional engineering education when introducing sustainability subjects. International Journal of Sustainability in Higher Education, 24(9), 70-84.  

Gutierrez-Bucheli, L., Kidman, G., & Reid, A. (2022). Sustainability in engineering education: A review of learning outcomes. Journal of Cleaner Production, 330, 129734. 

Hristov, I., & Chirico, A. (2019). The role of sustainability key performance indicators (KPIs) in implementing sustainable strategies. Sustainability, 11(20), 5742. 

Karastoyanov, D., & Karastanev, S. (2018). Reuse of Industrial Robots. IFAC-PapersOnLine, 51(30), 44-47. 

Leifler, O., & Dahlin, J. E. (2020). Curriculum integration of sustainability in engineering education–a national study of programme director perspectives. International Journal of Sustainability in Higher Education, 21(5), 877-894. 

Raper, R., Boeddinghaus, J., Coeckelbergh, M., Gross, W., Campigotto, P., & Lincoln, C. N. (2022). Sustainability budgets: A practical management and governance method for achieving goal 13 of the sustainable development goals for AI development. Sustainability, 14(7), 4019. 

SDG Indicators — SDG Indicators (2018) United Nations (Accessed: 19 February 2024) 

 

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Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

 

To view a plain text version of this resource, click here to download the PDF.

Author: Cigdem Sengul, Ph.D. FHEA (Computer Science, Brunel University). 

Topic: Embedding SDGs into undergraduate computing projects using problem-based learning and teamwork. 

Tool type: Guidance. 

Relevant disciplines: Computing; Computer science; Information technology; Software engineering.  

Keywords: Sustainable Development Goals; Problem-based learning; Teamwork; Design thinking; Sustainability; AHEP; Pedagogy; Higher education; Communication; Course design; Assessment; STEM; Curriculum design. 
 
Sustainability competency: Collaboration; Integrated problem-solving.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: All 17; see specific examples below for SDG 2 (Zero Hunger); SDG 13 (Climate Action). 
 
Reimagined Degree Map Intervention: Adapt and repurpose learning outcomes; Active pedagogies and mindset development; Authentic assessment.

Who is this article for? This article should be read by educators at all levels in Higher Education who wish to embed sustainable development goals into computing projects. 

Supporting resources 

 

Premise:  

Education for Sustainable Development (ESD) is defined by UNESCO (2021) as:  “the process of equipping students with the knowledge and understanding, skills and attributes needed to work and live in a way that safeguards environmental, social and economic wellbeing, in the present and for future generations.” All disciplines have something to offer ESD, and all can contribute to a sustainable future. This guide presents how to embed the Sustainable Development Goals (SDGs) into undergraduate computing projects, using problem-based learning and teamwork as the main pedagogical tools (Mishra & Mishra, 2020).  

 

Embedding Sustainable Development Goals (SDGs) into computing group projects: 

Typically, the aim of the undergraduate Computing Group Project is to: 

This type of project provides students with an opportunity to integrate various skills, including design, software development, project management, and effective communication.  

 

In this project setting, the students can be asked to select a project theme based on the SDGs. The module team then can support student learning in three key ways: 

1. Lectures, labs, and regular formative assessments can build on lab activities to walk the project groups through a sustainability journey that starts from a project pitch, continues with design, implementation, and project progress reporting, and ends with delivering a final demo.

2. Blending large classroom teaching with small group teaching, where each group is assigned a tutor, to ensure timely support and feedback on formative assessments.

3. A summative assessment based on a well-structured project portfolio template, guiding students to present and reflect on their individual contribution to the group effort. This portfolio may form the only graded element of their work, giving the students the opportunity to learn from their mistakes in formative assessments and present their best work at the end of the module.  

 

Mapping the learning outcomes to the eight UNESCO key competencies for sustainability (Advance HE, 2021), the students will have the opportunity to experience the following: 

 

More specifically, sustainable development can be embedded following a lecture-lab-formative assessment-summative assessment path: 

1. Introduction lecture: Introduce the SDGs and give real-life examples of software that contribute to SDGs (examples include: for SDG 2 – Zero Hunger, the World Food Programme’s Hunger Map; SDG 13 – Climate Action, Climate Mind ). The students then can be instructed to do their own research on SDGs. 

2. Apply design thinking to project ideation: In a lecture, students are introduced to design thinking and the double-diamond of design to use a diverge-converge strategy to first “design the right thing” and second “design things right.” In a practical session, with teaching team support, the students can meet their groups for a brainstorming activity. It is essential to inform students about setting ground rules for discussion, ensuring all voices are heard. Encourage students to apply design thinking to decide which SDG-based problem they would like to work on to develop a software solution. Here, giving students an example of this process based on a selected SDG will be useful. 

3. Formative assessment – project pitch deliverable: The next step is to channel students’ output of the design thinking practical to a formative assessment. Students can mould their discussion into a project pitch for their tutors. Their presentation should explain how their project works towards one or more of the 17 SDGs. 

4. Summative assessment – a dedicated section in project portfolio: Finally, dedicating a section in a project portfolio template on ideation ensures students reflect further on the SDGs. In the portfolio, students can be asked to reflect on how individual ideas were discussed and feedback from different group members was captured. They should also reflect on how they ensured the chosen problem fits one or more SDGs, describe the selection process of the final software solution, and what alternative solutions for the chosen SDG they have discussed, elaborating on the reasons for the final choice. 

 

Conclusion: 

Computing projects provide an excellent opportunity to align teaching, learning, and assessment activities to meet key Sustainable Development competencies and learning outcomes. The projects can provide transformational experiences for students to hear alternative viewpoints, reflect on experiences, and address real-world challenges. 

 

References: 

Advance HE. (2021) Education for sustainable development guidance. (Accessed: 02 January 2024). 

Lewrick, M., Link, P., Leifer, L.J. & Langensand, N. (2018). The design thinking playbook: mindful digital transformation of teams, products, services, businesses, and ecosystems. New Jersey: John Wiley & Sons, Inc, Hoboken. 

Mishra, D. and Mishra, A. (2020) ‘Sustainability Inclusion in Informatics Curriculum Development’, Sustainability, 12(14), p. 5769.  

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.  

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

 
To view a plain text version of this resource, click here to download the PDF.

Author: Dr Rehan Shah BEng (UCL), MSc (Oxf), PhD (UCL), FHEA, MIMA, MInstP (Queen Mary University of London). 

Topic: Implementing sustainability into technical engineering curricula. 

Tool type: Guidance. 

Relevant disciplines: Any.  

Keywords: Teaching or embedding sustainability; Mathematical problems; Curriculum; Higher education; Ethical issue; AHEP; Sustainability; Gender; Environment; Interdisciplinary; STEM. 
 
Sustainability competency: Integrated problem-solving.

AHEP mapping: This resource addresses three of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills) and Science and Mathematics (the ability to apply the knowledge, not merely understand it). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: See below for problems specific to SDG 5 (Gender Equality); SDG 6 (Clean Water and Sanitation); SDG 7 (Affordable and Clean Energy); SDG 9 (Industry, Innovation and Infrastructure); SDG 10 (Reduced Inequalities); SDG 12 (Responsible Consumption and Production); SDG 14 (Life Below Water); and SDG 15 (Life on Land). 
 
Reimagined Degree Map Intervention: Cross-disciplinarity.

Who is this article for? This article should be read by academics and educators at all levels in higher education who wish to integrate sustainability into the engineering curriculum within the typical mathematics-specific modules that are present. It will also help prepare students with the key graduate attributes and skills required by professional accreditation bodies and employers. 

Supporting resources:  

 

Premise:  

Global challenges that call for environmental, sustainable and innovative solutions have consistently pushed us to be open to the changes and challenges within engineering education (Graham, 2012; Graham, 2018; Crawley et al., 2014; Lawlor, 2013; The Royal Academy of Engineering, 2007). Despite the prevalence of the UN Sustainable Development Goals (SDGs) since 2015, several reports and studies (Mulder et al., 2012; Buckler and Creech, 2014; Lazzarini et al., 2018; Morrissey, 2013; Neubauer et al., 2017; Wals, 2014; Miñano Rubio et al. 2019) have noted that the incorporation of sustainability within universities finds the greatest barrier in the field of teaching, with curricula often failing to address key environmental and ethical issues. This situation reflects the need for educators to develop a toolkit of resource materials that can serve as a reference guide for the effective and systematic integration of sustainability into university engineering curricula (Thürer et al., 2018).  

 

Basic principles for embedding sustainability and ethics:  

The principles for integrating sustainability into mathematical problems and exercises within the engineering curricula share strong parallels to the embedding of ethical components, as documented within several guidance articles from the EPC’s Engineering Ethics Toolkit. Some of these include:  

 

 

 

 

 

Examples of mathematical problems with embedded sustainability:  

The following three example problems from Chiodo and Muller, 2023 with minor adaptations (as permitted under the Creative Commons License CC BY-SA 4.0), illustrate ways in which sustainability aspects can be integrated within traditional technical exercise questions found in engineering mathematics courses:  

Partial solution comments have been included here for brevity, please refer to Chiodo and Muller, 2023 for full solution details.  

 

Problem 1: Pipeline construction 

Topic: Optimisation. 

SDG mapping: SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), SDG 14 (Life Below Water), SDG 15 (Life on Land). 

An oil company wants to build a pipeline connecting an oil platform to a refinery (on land). The coastline is straight. The oil platform is at a distance of 13km from the coast. The refinery is on the coastline, a distance 10km from the point on the coast closest to the platform. Building the pipeline will lead to a cost of £90,000 per km at sea and £60,000 per km on land.  

 

Calculate the optimal length for building the pipeline. What are the factors that need to be considered when providing a response to this question?  

 

Solution comments: The cost-minimising path is given by Snell’s law and is an exercise in trigonometry and calculus. But who said we were optimising over cost? This is an assumption often engrained into engineers while they are students, but it need not always be the right way to optimise. How many decisions made by government agencies (often based on advice offered by mathematical consultants) use economics as the sole criterion for optimisation?  

Economic actions almost always have externalities, such as possible damage to the environment (the pipe may go through a coral reef or protected habitat) or to existing infrastructure (it may go through a school or a site of archaeological significance). How could we mathematically model the environmental and human impact of laying this pipe? There are numerous factors to consider and students, much like policymakers would, should take a holistic view of these effects and at least be aware of, and question the implications of basing decisions solely on economic factors. 

 

Problem 2: Environmental disasters 

Topic: Differential equations. 

SDG mapping: SDG 6 (Clean Water and Sanitation), SDG 12 (Responsible Consumption and Production). 

A chemical accident took place near a small village in Peru. The region’s local water reservoir has a volume V. The inflow and outflow of the reservoir is given by the flow rate r. Let x(t) be the amount of mercury in the reservoir at time t. Assume that the reservoir was clean at the beginning i.e., x(0) = 0. Let C(t) be the concentration of mercury flowing into the reservoir.  

 

a. Set up and solve a differential equation describing the concentration of the reservoir.  

b. How can you use your solution to model repeated pollution (e.g., criminals dumping mercury near the reservoir every weekend)?  

c. What are some relevant questions you can ask about the concentration of mercury in the reservoir?  

d. Suppose that the polluter is caught and after some cleaning, the incoming water is clean. How can you use your model to analyse when the water in the reservoir will be safe again? How sure are you of your answer and how much does it matter?  

 

Solution comments: This question is designed to show students that very simple mathematics can be used to model local environmental disasters, which can often be an example of how it may be used unsustainably. It teaches students to find good questions instead of merely answering someone else’s questions. 

For part c), possible questions for students to consider can include:  

For part d) for the sub question “How sure are you?”, students will need to explore what the ‘known’ unknowns are e.g., errors in the measurement apparatus, non-uniform mixing, samples taken in a very clean/dirty part of the stream or reservoir. They may also need to consider any ‘unknown’ unknowns e.g., other sources of pollutants, samples being tampered with accidentally or deliberately, etc. 

For part d) for the sub question “How much does it matter?”, students should identify that we are dealing with poison in drinking water, so it matters immensely! They should understand that this is an estimate, which helps forecast when the water might be safe to drink (the only way to actually know is to thoroughly test it). This question helps students to realise that the mathematics is simply one part of a much bigger solution and should not be relied upon as a definitive answer to a question as serious as the safety of drinking water.  

 

Problem 3: Simpson’s paradox 

Topic: Probability. 

SDG Mapping: SDG 5 (Gender Equality), SDG 10 (Reduced Inequalities). 

In a particular admissions cycle, a mathematics department observes a higher success rate for male applicants than for female applicants. To investigate whether this is the same across he two sub-departments of Pure Mathematics and Applied Mathematics, the following year the department asks each applicant to give their preference for pure or applied mathematics (they are not allowed to be ambivalent) and records the resulting statistics as shown in Figure 4 below:  

                                                                            Total

Applications Successful
Female 300 30
Male 1000 210
              Prefer applied

Applications Successful
Female 270 18
Male 350 15
                     Prefer pure

Applications Successful
Female 30 12
Male 650 195

 

 

          Figure 4: Admission statistics for male and female applications to study mathematics  

 

 

a. Compare the success rates for male and female applicants that prefer applied mathematics, prefer pure mathematics and their success rates overall.  

b. What do you notice? Why is this possible? This is known as Simpson’s Paradox.  

c. If possible, find the admission statistics by gender and mathematics preference (pure/applied) from your university’s mathematics department and see if the same phenomenon occurs.  

 

Solution comments: The purpose of this question is to demonstrate Simpson’s paradox in which a trend appears in several different groups of data but disappears or reverses when these groups are combined. It also attempts to highlight the immense gender disparity in many mathematics departments around the world.  

For part b) it is evident from the calculations in part a) that females with a given preference (pure/applied mathematics) have a higher success rate than males with the same preference, but lower overall. This is Simpson’s Paradox. The heuristic reason for why this is possible is that the largest male cohort (those that prefer pure) has a much higher acceptance rate than the largest female cohort (those that prefer applied). So, the overall acceptance of men is dominated by those who prefer pure, while the overall acceptance of women is dominated by those who prefer applied. This is a great lesson in why it is usually a terrible idea to take “averages of averages”. 

The main purpose of part c) is not so much for students to redo the calculation (it is not a given that Simpson’s Paradox will always arise here), but rather to illustrate the immense gender disparity in many mathematics departments around the world.  

  

Conclusion:  

The aim of this article is to provide academics and educators in higher education with an insight into how sustainability concepts may be integrated into technical, mathematical problems prevalent throughout engineering curricula. This should hopefully motivate lecturers to design their own versions of similar exercises to embed within their own courses and help build on ongoing calls to enhance the restructuring of our university programmes to better prepare future engineers to tackle global sustainability challenges by drawing not only on their technical and scientific knowledge, but also on their creativity, ethical, professional and leadership skills.  

 

References:  

Buckler, C. and Creech, H. (2014) Shaping the Future We Want: UN Decade of Education for Sustainable Development (2005–2014); Final Report; UNESCO: Paris, France.  

Butt, A. T.; Causton, E. W. T.; Watkins, M. A. (2022), Embedding sustainability in the engineering curriculum: a complementary approach to performance engineering and sustainable design,paper presented at 2022 International Conference on Engineering and Product Design Education, London, UK.  

Chiodo, M. and Muller D., (2023) Teaching resources for embedding ethics in mathematics: exercises, projects and handouts.  

Crawley, E.F., Malmqvist, J., Östlund, S., Brodeur, D.R. and Edström, K. (2014). Rethinking Engineering Education. Cham: Springer International Publishing.  

Davis, M. (2006) ‘Integrating ethics into technical courses: Micro-insertion,’ Science and Engineering Ethics, 12(4), 717-730  

Graham, R. (2012). Achieving excellence in engineering education: the ingredients of successful change. Engineering Professors Council.  

Graham, R. (2018). The global state of the art in engineering education. Massachusetts Institute of Technology (MIT) School of Engineering.  

Lawlor, R. ed., (2013). Engineering in Society. Royal Academy of Engineering.  

Lazzarini, B.; Pérez-Foguet, A.; Boni, A. (2018) Key characteristics of academics promoting Sustainable Human Development within engineering studies. J. Clean. Prod., 188, 237–252.  

Miñano Rubio, R., Uribe, D., Moreno-Romero, A.; Yáñez, S. (2019) Embedding Sustainability Competences into Engineering Education. The Case of Informatics Engineering and Industrial Engineering Degree Programs at Spanish Universities. Sustainability, 11, 5832.  

Morrissey, J. (2013) Regimes of performance: practices of the normalised self in the neoliberal university. Br. J. Sociol. Educ. 36, 614–634.  

Mulder, K.F.; Segalàs, J.; Ferrer-Balas, D. (2012) How to educate engineers for/in sustainable development: Ten years of discussion, remaining challenges. Int. J. Sustain. High. Educ. 13, 211–218.  

Neubauer, C.; Calame, M. (2017, pp. 68–77) Global pressing problems and the sustainable development goals. In Higher Education in the World 6. Towards a Socially Responsible University: Balancing the Global with the Local; Global University Network for Innovation (GUNI): Girona, Spain.  

Paulauskaite-Taraseviciene, A.; Lagzdinyte-Budnike, I.; Gaiziuniene, L.; Sukacke, V.; Daniuseviciute-Brazaite, L. (2022), Assessing Education for Sustainable Development in Engineering Study Programs: A Case of AI Ecosystem Creation. Sustainability 14, 1702.  

Ramirez-Mendoza, R.A., Morales-Menendez, R., Melchor-Martinez, E.M. (2020) Incorporating the sustainable development goals in engineering education. Int J Interact Des Manuf 14, 739–745.  

The Royal Academy of Engineering (2007). Educating Engineers for the 21st Century.  

Thürer, M.; Tomaševic ́, I.; Stevenson, M.; Qu, T.; Huisingh, D. (2018) A systematic review of the literature on integrating sustainability into engineering curricula. J. Clean. Prod. 181, 608–617.   

Wals, A.E. (2014) Sustainability in higher education in the context of the UN DESD: A review of learning and institutionalization processes. J. Clean. Prod. 62, 8–15  

Zelinka, D. and Amadei, B. (2017), A methodology to model the integrated nature of the sustainable development goals: importance for engineering education,paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.  

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.  

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

 

To view a plain text version of this resource, click here to download the PDF.

Authors: Peter Mylon MEng PhD CEng FIMechE PFHEA NTF and SJ Cooper-Knock PhD (The University of Sheffield). 

Topic: Maker Communities and ESD. 

Tool type: Knowledge. 

Relevant disciplines: Any. 

Keywords: Interdisciplinary; Education for sustainable development; Makerspaces, Recycling or recycled materials; Employability and skills; Inclusive learning; Local community; Climate change; Student engagement; Responsible consumption; Energy efficiency; Design; Water and sanitation; AHEP; Sustainability; Higher education; Pedagogy. 
 
Sustainability competency: Collaboration; Integrated problem-solving.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: SDG 4 (Quality education); SDG 6 (Clean water and sanitation); SDG 11 (Sustainable cities and communities); SDG 12 (Responsible consumption and production); SDG 13 (Climate action). 
 
Reimagined Degree Map Intervention: Active pedagogies and mindset development; Cross-disciplinarity.

Who is this article for? This article should be read by educators at all levels in higher education who are curious about how maker spaces and communities can contribute to sustainability efforts in engineering education. Engaging with this topic will also help to prepare students with the soft skill sets that employers are looking for. 

 

Premise:  

Makerspaces can play a valuable role in Education for Sustainable Development (ESD). In this article, we highlight three specific contributions they can make to ESD in Engineering: Makerspaces enable engineering in real-world contexts; they build cross-disciplinary connections and inclusive learning; and they promote responsible consumption.   

 

A brief introduction to makerspaces: 

In recent years, a ‘makerspace’ movement has emerged in Higher Education institutions. While most prevalent in the US, there are now a number of university-based makerspaces in the UK, including the iForge at the University of Sheffield, the Institute of Making at UCL, and the Makerspace at King’s College London. So what is a makerspace, and what do they have to do with Education for Sustainable Development (ESD)?  

Makerspaces are part of a larger “maker movement” that includes maker fairs, clubs and magazines. Within universities, they are “facilities and cultures that afford unstructured student-centric environments for design, invention, and prototyping.” (Forest et al., 2016). Successful and inclusive makerspaces are student led. Student ownership of makerspace initiatives deepens student motivation, promotes learning, and encourages peer-to-peer collaboration. Successful makerspaces produce thriving learning communities, through which projects can emerge organically, outside of curriculum structures and discipline boundaries.  

In terms of Education for Sustainable Development (ESD), this means that students can bring their passion to make a difference, and can meet other students with similar interests but complementary skill sets. With support from the University, they can then be given opportunities to put their passion and skills into practice. Below, we focus on three concrete contributions that makerspaces can make to ESD:  Opportunities for applied learning; expanded potential for cross-disciplinary learning, and the chance to deepen engaged learning on sustainable consumption.  

 

1. Maker communities enable engineering in real world contexts:

1.1 ESD rationale 

ESD enables students to think critically about possible solutions to global challenges. It encourages students to consider the social, economic, and political context in which change takes place. ESD also spurs students to engage, where possible, with those beyond the university.  

It may be tempting to think of engineering as simply a technical exercise: one in which scientific and mathematical knowledge is taken and applied to the world around us. In practice, like all other professions, engineers do not simply apply knowledge, they create it. In order to do their work, engineers build, hold, and share ideas about how the world works: how users will behave; how materials will function; how they can be repaired or disposed of; what risks are acceptable, and why. These ideas about what is reasonable, rational, and probable are, in turn, shaped by the broader social, political, and economic context in which they work. This context shapes everything from what data is available, to what projects are prioritised, and how risk assessments are made. Rather than trying to ignore or remove these subjective and context-based elements of engineering, we need to understand them. In other words, rather than ask whether an engineering process is impacted by social, political, and economic factors we need to ask how this impact happens and the consequences that it holds. ESD encourages students to think about these issues.  

 

1.2 The contribution of makerspaces 

The availability of both equipment and expertise, and the potential for practical solutions, means that makerspaces often attract projects from outside the university. These provide opportunities to practise engineering in real-world contexts, where there is the possibility for participatory design. All such projects will require some consideration of social, political, or economic factors, which are at the heart of the Sustainable Development Goals.  

One example of this is SheffHEPP, a hydroelectric power project at the University of Sheffield. In response to requests for help from local communities, students are designing and building small-scale hydroelectric power installations in a number of locations. This multidisciplinary project requires an understanding of water engineering, electrical power generation, battery storage and mechanical power transmission, as well as taking into consideration the legal, financial, and environmental constraints of such an undertaking. But it also requires Making – students have made scale models and tested them in the lab, and are now looking to implement their designs in situ. Such combinations of practical engineering and real-world problems that require consideration of the wider context provide powerful educational experiences that expose students to the realities of sustainable development. 

 

There are a number of national and international organisations for students that promote SDGs through competitions and design challenges. These include: 

 

Student engagement with such activities is growing exponentially, and makerspaces can benefit students who are prototyping ideas for the competitions. At Sheffield, there are over 20 co-curricular student-led projects in engineering, involving around 700 students, many of which engage with the SDGs. In addition to SheffHEPP and teams entering all of the above competitions, these include teams designing solutions for rainwater harvesting, vaccine storage, cyclone-proof shelters for refugees, plastics recycling, and retrofitting buildings to reduce energy consumption. As well as the employability benefits of such activities, students are looking for ways to use engineering to create a better future, with awareness of issues around climate change and sustainability increasing year on year. And none of these activities would be possible without access to maker facilities to build prototypes.  

 

Linked to the makerspace movement is the concept of hackathons – short sprints where teams of students compete to design and prototype the best solution to a challenge. At Sheffield, these have included: 

 

In summary, Makerspaces enable students to access multiple initiatives through which they can engage in learning that is potentially participatory and applied. These forms of learning are critical to ESD and have the potential to address multiple Sustainable Development Goals.  

 

2. Maker communities build cross-disciplinary connections and encourage inclusive learning:

2.1 ESD rationale 

Global complex challenges cannot be resolved by engineers alone. ESD encourages students to value different forms of knowledge, from within and beyond academia. Within academia, makerspaces can provide opportunities for students to collaborate with peers from other disciplines. Cross-disciplinary knowledge can play a crucial role in understanding the complex challenges that face our world today. Makerspaces also offer an opportunity for students to engage with other forms of knowledge – such as the knowledge that is formed through lived experience – and appreciate the role that this plays in effective practices of design and creation. Finally, makerspaces can help students to communicate their knowledge in ways that are understandable to non-specialist audiences. This inclusive approach to knowledge creation and knowledge sharing enables students to think innovatively about sustainable solutions for the future.  

 

2.2 The contribution of makerspaces   

Cross-disciplinary spaces  

Student-led makerspaces encourage students to lead in the creation of cross-disciplinary connections. For example, at the University of Sheffield, the makerspace has primarily been used by engineering students. Currently, however, the students are working hard to create events that will actively draw in students from across the university. This provides students with a co-created space for cross-disciplinary exchange as students train each other on different machines, learning alongside each other in the space. At other times, staff from different disciplines can come together to create shared opportunities for learning. 

The cross-disciplinary nature of makerspaces and the universality of the desire to create encourages a diverse community to develop, with inclusivity as a core tenet. They can often provide opportunities for marginalised communities. Makerspaces such as the ‘Made in Za’atari’ space in Za’atari refugee camp have been used to give women in the camp a space in which they can utilise, share, and develop their skills both to improve wellbeing and create livelihoods. Meanwhile, projects such as Ambessa Play have provided opportunities for young people in refugee camps across the world to learn about kinetic energy and electronic components by creating a wind-up flashlight.  

 

Spaces of inclusive learning  

Maker projects also allow students to engage with their local communities, whether creating renewable energy installations, restoring community assets or educating the next generation of makers. Such projects raise the profile of sustainable development in the wider public and give students the opportunity to contribute to sustainable development in their neighbourhoods. 

 

3. Maker communities promote responsible consumption:

3.1 ESD rationale 

ESD does not just influence what we teach and how we teach; it also shapes who we are. A central tenet of ESD is that it helps to shape students, staff, and educational communities. When this happens, they are – in turn – better able to play their part in shaping the world around them.  

 

3.2 The contribution of makerspaces  

Even before the concept was popularised by the BBC’s ‘The Repair Shop’, repair cafes had begun to spring up across the country. Such facilities promote an ethos of repair and recycling by sharing of expertise amongst a community, a concept which aligns very closely with the maker movement. Items repaired might include furniture, electrical appliances, and ornaments. Related organisations like iFixit have also helped to promote responsible consumption and production through advocacy against built-in obsolescence and for the ‘Right to Repair’. 

The same principles apply to Making in textiles – sustainable fashion is a topic that excites many students both within and outside engineering, and makerspaces offer the opportunity for upcycling, garment repair and clothes shares. Students can learn simple techniques that will allow them to make better use of their existing wardrobes or of used clothing and in the process begin to change the consumption culture around them. At the University of Sheffield, our making community is currently planning an upcycled runway day, in which students will bring clothing that is in need of refresh or repair from their own wardrobes or from local charity shops. Our team of peer-instructors and sewing specialists will be on hand to help students to customise, fit, and mend their clothes. In doing so, we hope to build an awareness of sustainable fashion amongst our students, enabling an upcycling fashion culture at the university.  

 

Conclusion: 

Education for Sustainable Development plays a vital role in enabling students to expand the knowledge and skills that they hold so that they can play their part in creating a sustainable future. Makerspaces offer a valuable route through which engineering students can engage with Education for Sustainable Development, including opportunities for applied learning, cross disciplinary connections, and responsible consumption.  

 

References: 

Forest, C. et al. (2016) ‘Quantitative survey and analysis of five maker spaces at large, research-oriented universities’, 2016 ASEE Annual Conference & Exposition Proceedings [Preprint]. (Accessed 19 February 2024). 

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

 
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Author: Onyekachi Nwafor (CEO, KatexPower). 

Topic: Harmonising economic prosperity with environmental responsibility. 

Tool type: Knowledge. 

Relevant disciplines: Any.  

Keywords: Environmental responsibility; Pedagogy; Economic growth; Ethical awareness, Interdisciplinary; Collaboration; AHEP; Sustainability; Environment; Biodiversity; Local community; Climate change; Higher education. 
 
Sustainability competency: Integrated problem-solving; Strategic; Self-awareness; Normative.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: SDG 8 (Decent work and economic growth); SDG 10 (Reduced Inequalities); SDG 13 (Climate action). 
 
Reimagined Degree Map Intervention: More real-world complexity; Active pedagogies and mindset development.

Who is this article for? This article should be read by educators at all levels in higher education who wish to consider how to navigate tradeoffs between economic and environmental sustainability as they apply to engineering. Engaging with this topic will also help to prepare students with the soft skill sets that employers are looking for. 

 

Premise:  

In the face of the ever-growing need for economic progress and the escalating environmental crises, the engineering profession finds itself at a crossroads. Striking a delicate balance between economic growth and environmental sustainability is no longer an option but an imperative. This article delves into the pivotal role of engineering educators in shaping the mindset of future engineers, offering an expanded educational framework that fosters a generation capable of harmonising economic prosperity with environmental responsibility. 

  

The uneasy truce:  

Developing nations, with burgeoning populations and aspirations for improved living standards, grapple with the paradox of rapid economic expansion at the expense of environmental degradation. This necessitates a shift in focus for engineering educators, who bear the responsibility of cultivating engineers with a foresighted perspective. Rather than demonising economic growth, the goal is to instill a nuanced understanding of its interdependence with environmental well-being. For example, in developing countries like Brazil, rapid economic expansion driven by industries such as agriculture and logging has resulted in extensive deforestation of the Amazon region. This deforestation not only leads to the loss of valuable biodiversity and ecosystem services but also contributes to climate change through the release of carbon dioxide. Similarly, in industrialised nations, the pursuit of economic growth has often led to the pollution of air, water, and soil, causing adverse health effects for both humans and wildlife. 

 

Equipping our future stewards: 

To navigate this delicate landscape, educators must move beyond traditional technical expertise, fostering a holistic approach that integrates ethical awareness, interdisciplinary collaboration, localised solutions, and a commitment to lifelong learning. 

1. Ethical awareness: One potential counterargument to the expanded educational framework may be that the focus of engineering education should remain solely on technical expertise, with the assumption that ethical considerations and interdisciplinary collaboration can be addressed later in a professional context. However, research has shown that integrating ethical awareness and interdisciplinary collaboration early in engineering education not only enhances problem-solving skills but also cultivates a sense of responsibility and long-term thinking among future engineers. 

2. Holistic thinking: Research has shown that interdisciplinary collaboration between engineering and social science disciplines can lead to more effective and sustainable solutions. For instance, a study conducted by the World Bank’s Water and Sanitation Program (WSP) found that by involving sociologists and anthropologists in the design and implementation of water infrastructure projects in rural communities, engineers were able to address cultural preferences and local knowledge, resulting in higher acceptance and long-term maintenance of the infrastructure. Similarly, a case study of a renewable energy project in Germany demonstrated how taking into account the geographic nuances of the region, such as wind patterns and solar radiation, led to more efficient and cost-effective energy solutions. Presently, Germany boasts the world’s fourth-largest installed solar capacity and ranks amongst the top wind energy producers.  

3. Localised solutions: Students must be required to consider the social, cultural, and geographic nuances of each project. This means moving away from one-size-fits-all approaches and towards an emphasis on the importance of context-specific solutions. This ensures that interventions are not only technologically sound but also culturally appropriate and responsive to local needs, fostering sustainability at both the project and community levels. 

4. Lifelong learning: Empower students with the skills to stay abreast of emerging technologies, ethical frameworks, and policy landscapes. Recognise that the landscape of sustainability is dynamic and ever evolving. Foster a culture of continuous learning and adaptability to ensure that graduates remain true stewards of a sustainable future, equipped to navigate evolving challenges throughout their careers. 

 

A compass for progress:  

By integrating these principles into engineering curricula, educators can provide students with a moral and intellectual compass—an ethical framework guiding decisions toward a future where economic progress and environmental responsibility coexist harmoniously. Achieving this paradigm shift will require collaboration, innovation, and a willingness to challenge the status quo. However, the rewards are immeasurable: a generation of engineers empowered to build a world where prosperity thrives alongside a healthy planet—a testament to the true potential of the engineering profession. 

Engineering teachers can raise a generation of engineers who can balance economic growth with environmental responsibility by embracing a broader educational framework that includes ethical awareness, cross-disciplinary collaboration, localised solutions, and a commitment to lifelong learning. Through the adoption of these principles, engineering curricula can provide students with a moral and intellectual compass, guiding them toward a future where economic progress and environmental sustainability coexist harmoniously. 

 

References: 

International Renewable Energy Agency (IRENA) (2023).Pathways to Carbon Neutrality: Global Trends and Solutions’, Chapter 3. 

Sharma, P. (2022) ‘The Ethical Imperative in Sustainable Engineering Design’, Chapter 5. 

United Nations (2021) ‘Goal 13: Climate Action. In Sustainable Development Goals: Achieving a Balance between Growth and Sustainability’. (pp. 120-135). 

World Bank (2022) ‘Renewable Energy in Developing Nations: Prospects and Challenges’, pp.10-15. 

World Bank Group (2023) Cleaner cities, Brighter Futures: Ethiopia’s journey in urban sanitation, World Bank. (Accessed: 05 February 2024).   

 

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Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 
 

To view a plain text version of this resource, click here to download the PDF.

Author: Professor Manuela Rosa (Algarve University, Institute of Engineering). 

Topic: Engineering for ecological sustainability. 

Tool type: Knowledge. 

Relevant disciplines: Any. 

Keywords: Curriculum; Engineering professionals; Ecology; Ecosystem services; Natural resources; Interdisciplinary; Biodiversity; Water and sanitation; Climate change; AHEP; Sustainability; Higher education; Pedagogy. 
 
Sustainability competency: Systems thinking; Collaboration; Integrated problem-solving; Self-awareness; Normative.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37. 

Related SDGs: SDG 4 (Quality education); SDG 6 (Clean water and sanitation); SDG 7 (Affordable and clean energy); SDG 12 (Responsible consumption and production); SDG 14 (Life below water). 
 
Reimagined Degree Map Intervention: Cross-disciplinarity; Active pedagogies and mindset development.

Who is this article for? This article should be read by educators at all levels in higher education who wish to embed environmental and ecological sustainability into the engineering curriculum or design modules. Engaging with this topic will also help to prepare students with the soft skill sets that employers are looking for. 

 

Premise: 

Engineering has always responded to the societal challenges of humanity, contributing to its progress and economic development. However, the synergetic effects of fossil-based economic growth together with large-scale engineering projects have also caused great pressures on natural resources and ecosystems leading to over-exploitation and degradation. In consequence, in the last decades, a multidimensional perspective on sustainability perspective has arisen, and has been acknowledged by social movements, governments and institutions.   

Meanwhile, this assumes deep epistemological changes, requiring holistic and transdisciplinary approaches that must be considered by engineering professionals, establishing communication based on new ways of thinking. There is the need to interweave disciplines, to establish complementary relationships, to create associations in order to root new knowledge, enabling communication between the sciences. In doing so, transdisciplinary science has emerged, i.e. the science that can develop from these communications. It corresponds to a higher stage succeeding the stage of interdisciplinary relationships, which would not only cover interactions or reciprocities between specialised research projects, but would place these relationships within a total system without any firm boundaries between disciplines (Piaget, 1972).  

Currently, the complexity associated with climate change and the uncertainty of the link between global loss of biodiversity and current loss of public health, are demanding innovative knowledge, needing those holistic and transdisciplinary approaches.  Engineering professionals must therefore give additional attention to ecological sustainability. 

 

The challenges of sustainability: 

The term “sustainability” portrays the quality of maintenance of something which can continue for an indefinite time, such as biological species and ecosystems. Sustainability is based on a dynamic balance between natural and human ecosystems, in order to maintain the diversity, complexity and functions of the ecological systems that support life, while contributing to prosperous and harmonious human development (Costanza, 1997). This strong perspective of sustainability needs to have a prominent place in land use management which must consider the carrying capacity of natural ecosystems.  

Ecological sustainability in particular aims to maintain the earth’s natural potential and the biosphere, its stock of natural resources, atmosphere and hydrosphere, ecosystems and species. Ecosystems should be kept healthy by preserving their “ecological integrity”, i.e. the capacity to maintain the structure and function of its natural communities, which includes biogeochemical cycles.  

Engineering professionals must therefore understand the global limits for water, land, and energy use (contributing to less atmospheric carbon emissions), and preserve other natural resources, such as nutrients or biodiversity. In the technical decision-making process, they need to understand the ecological impacts of big scale projects, such as transportation infrastructures, dams, deforestation, and others. Alongside other professionals, they need to contribute to the restoration, conservation and preservation of ecosystem services, e. g. support services, production services, regulating services and cultural services. These services result in benefits that people and organisations receive from ecosystems and constitute determinants of well-being (Millennium Ecosystem Assessment, 2005).  

Until now, technical solutions often focused on highly visible man-made structures, many of which stopped or disrupted natural processes. Presently, the importance of regulating natural ecosystem services such as water purification, water supply, erosion and flood control, carbon storage and climate regulation is beginning to be perceived. These are considered as soft engineering tools and must be highlighted by engineering educators and assumed in the practice. 

This ecological mindset would enable solutions that recognise management and restoration of natural ecosystems in order to curb climate change, protect biodiversity, sustain livelihoods and manage rainstorms. Nature-based solutions are a natural climate solution in cities, contributing to the mitigation and adaptation of climate change through green roofs, rain gardens, constructed wetlands that can minimise damaging runoff by absorbing stormwater, reducing flood risks and safeguarding freshwater ecosystems. They are essential in climate refuges for city residents during heatwaves and other extreme climate events. These solutions need specific and new knowledge made by ecologists working with engineers and others, which demands action beyond disciplinary silo, i.e., a transdisciplinary approach.  

Within this context, engineering professionals must consider specific operating principles of sustainability: 

These principles must be considered in engineering education, and require deep changes in teaching, because there is a great difficulty in studying and managing the socio-ecological system according to the Cartesian paradigm which breaks up and separates the parts of a whole. New ecological thinking emphasises holistic approaches, non-linearity, and values focused on preservation, conservation and collaboration (Capra, 1996). The transdisciplinary approach needs dialogic and recursive thinking, which articulates from the whole to the parts and from the parts to the whole, and can only be unchained with the connection of the different fields of knowledge, including knowledge from local communities in specific territories.   

In higher education, engineering students should establish face-to-face contacts with ecology students in order to better understand ecological sustainability and generate empathy on the subject. Engineering students must develop skills of collaboration and inter-cultural communication tools (Caeiro-Rodríguez et al., 2021) that will facilitate face to face workshops with other professionals and enrich learning experiences.  

In the 21st century, beyond the use of technical knowledge to solve problems, engineering professionals need communicational abilities to consider ecological sustainability, requiring networking, cooperating in teams, and working with local communities. Engineering educators must include trans-sectoral and transdisciplinary research and holistic approaches which make clear progress in tackling ecological sustainability. 

 

Conclusion: 

The interconnected socio-ecological system must be managed for sustainability by multiple stakeholders.  Engineering professionals need to develop a set of skills and competencies related with the ability to work with other ones (e.g. from the natural sciences) and citizens. Currently, beyond the use of technical knowledge to solve problems, engineers need to consider the sustainable development goals, requiring networking, cooperating in teams, and working with communities through transdisciplinary approaches.  

Education for Sustainable Development is required to empower engineering professionals to adopt strong sustainable actions that simultaneously ensure ecological integrity, economic viability and a just society for the current and future generations. Education is a fundamental tool for achieving the Sustainable Development Goals, as recognised in the 2030 Education Agenda, coordinated by UNESCO (2020).  

 

References: 

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

 

To view a plain text version of this resource, click here to download the PDF.

Author: Dr Manoj Ravi FHEA (University of Leeds). 

Topic: Pedagogical approaches to integrating sustainability. 

Tool type: Knowledge. 

Relevant disciplines: Any.  

Keywords: Education for Sustainable Development; Teaching or embedding sustainability; Course design; AHEP; Learning outcomes; Active learning; Assessment methods; Pedagogy; Climate change; Bloom’s Taxonomy; Project-based learning; Environment; Interdisciplinary; Higher education; Curriculum. 
 
Sustainability competency: Integrated problem-solving competency.

AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice(the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.  

Related SDGs: SDG 4 (Quality education); SDG 13 (Climate action). 
 
Reimagined Degree Map Intervention: Adapt and repurpose learning outcomes; Active pedagogies and mindset development; Authentic assessment; Cross-disciplinarity.

Who is this article for? This article should be read by educators at all levels in higher education who are seeking an overall perspective on teaching approaches for integrating sustainability in engineering education. Engaging with this topic will also help to prepare students with the soft skill sets that employers are looking for. 

 

Premise: 

As stated in the 1987 United Nations Brundtland Report, ‘sustainability’ refers to “meeting the needs of the present without compromising the ability of future generations to meet their own needs” (GH, 1987 p.242). It is underpinned by a tripartite definition encompassing environmental, social and economic sustainability. The necessity for embracing sustainability is underscored by several pressing challenges we face as a global society, ranging from climate change to economic crises.  

Against the backdrop of these global challenges, the role of the engineering profession assumes significant importance. While the scientific principles that underpin the various engineering disciplines remain largely the same, the responsibility of the engineering profession is to leverage these principles to address current and future challenges. Consequently, education for sustainable development (ESD) becomes a vital aspect of an engineer’s training, since the profession will guide the design and implementation of innovative solutions to challenges crosscutting environmental impact, judicious use of resources and social wellbeing.   

 

Integrated course design: 

Integrating ESD in engineering education requires programme and module designers to take a deliberate approach. Drawing on initial attempts to integrate sustainability in management and business education (Rusinko, 2010), four pedagogical approaches of ESD can be identified:  

  1. piggybacking,  
  2. mainstreaming,  
  3. specialising,  
  4. connecting.  

The last two approaches are for creating new curriculum structures with a narrow discipline-specific focus and a broad transdisciplinary focus, respectively. The other two, piggybacking and mainstreaming, are approaches to embed sustainability within existing curriculum structures. Although piggybacking is the easier-to-implement approach, achieved by additional sessions or resources on sustainability being tagged onto existing course modules, mainstreaming enables a broader cross-curricular perspective that intricately intertwines sustainability with engineering principles. 

The mainstreaming approach is also an elegant fit with the accreditation requirements for sustainability; the latest edition of the Accreditation of Higher Education Programmes (AHEP) emphasises competence in evaluating ‘environmental and societal impact of solutions’ to ‘broadly-defined’ and ‘complex’ problems. In order to foster this ability, where sustainability is a guiding principle for developing engineering solutions, a holistic (re)consideration of all elements of constructive alignment (Biggs, 1996) – intended learning outcomes (ILOs), teaching and learning activities, and student assessment – is needed. To this end, the Integrated Course Design (ICD) pedagogical framework can be leveraged for a simultaneous and integrated consideration of course components for embedding sustainability.  

 

Sustainability learning outcomes: 

Bloom’s taxonomy (also see here), which conventionally guides formulation of ILOs, can be extended to incorporate sustainability-based learning outcomes. The action verb in the AHEP guidance for the learning outcome on sustainability is ‘evaluate’, signifying a high cognitive learning level. ILOs framed at this level call for application of foundational knowledge through practical, critical and creative thinking. Although the cognitive domain of learning is the main component of engineering education, sustainability competence is greater than just a cognitive ability. For more information, see the Reimagined Degree Map.   

ESD is a lifelong learning process and as stated by UNESCO, it ‘enhances the cognitive, socio-emotional and behavioural dimensions of learning’. This integration of cognitive learning outcomes with affective aspects, referred to as ‘significant learning’ in the ICD terminology, is of utmost importance to develop engineers who can engage in sustainable and inclusive innovation. Furthermore, mapping programme and module ILOs to the UN Sustainable Development Goals (SDGs) is another way to integrate sustainability in engineering with connections between technical engineering competence and global sustainability challenges becoming more explicit to students and educators. Similarly, the ILOs can be mapped against UNESCO’s sustainability competencies to identify scope for improvement in current programmes. See the Engineering for One Planet Framework for more information and guidance on mapping ILOs to sustainability outcomes and competencies. 

 

Teaching and learning activities: 

Activities that engage students in ‘active learning’ are best placed to foster sustainability skills. Additional lecture material on sustainability and its relevance to engineering (piggybacking approach) will have limited impact. This needs to be supplemented with experiential learning and opportunities for reflection. To this end, design and research projects are very effective tools, provided the problem definition is formulated with a sustainability focus (Glassey and Haile, 2012). Examples include carbon capture plants (chemical engineering), green buildings (civil engineering) and renewable energy systems (mechanical and electrical engineering).  

Project-based learning enables multiple opportunities for feedback and self-reflection, which can be exploited to reinforce sustainability competencies. However, with project work often appearing more prominently only in the latter half of degree programmes, it is important to consider other avenues. Within individual modules, technical content can be contextualised to the background of global sustainability challenges. Relevant case studies can be used in a flipped class environment for a more student-led teaching approach, where topical issues such as microplastic pollution and critical minerals for energy transition can be taken up for discussion (Ravi, 2023). Likewise, problem sheets or simulation exercises can be designed to couple technical skills with sustainability.    

  

Student assessment: 

With sustainability being embedded in ILOs and educational activities, the assessment of sustainability competence would also need to take a similar holistic approach. In other words, assessment tasks should interlace engineering concepts with sustainability principles. These assessments are more likely to be of the open-ended type, which is also the case with design projects mentioned earlier. Such engineering design problems often come with conflicting constraints (technical, business, societal, economic and environmental) that need careful deliberation and are not suited for conventional closed-book time-limited examinations.  

More appropriate tools to assess sustainability, include scaled self-assessment, reflective writing and focus groups or interviews (Redman et al., 2021). In a broader pedagogical sense, these are referred to as authentic assessment strategies. Given the nexus between sustainability and ethics, inspiration can also be drawn from how ethics is being assessed in engineering education. Finally, pedagogical models such as the systems thinking hierarchical model (Orgill et al., 2019), can be used to inform the design of assessment rubrics when evaluating sustainability skills.  

 

Supporting resources: 

 

References: 

Biggs, J. (1996) ‘Enhancing teaching through constructive alignment’, Higher education, 32(3), pp. 347-364.  

Brundtland, G.H. (1987) Our Common Future: Report of the World Commission on Environment and Development. United Nations General Assembly document A/42/427, p.247.   

Glassey, J. and Haile, S. (2012) ‘Sustainability in chemical engineering curriculum’, International Journal of Sustainability in Higher Education, 13(4), pp. 354-364.  

Orgill, M., York, S. and MacKellar, J. (2019) ‘Introduction to systems thinking for the chemistry education community’, Journal of Chemical Education, 96(12), pp. 2720-2729.  

Ravi, M. (2023) ‘Spectroscopic Methods for Pollution Analysis─Course Development and Delivery Using the Integrated Course Design Framework’, Journal of Chemical Education, 100(9), pp. 3516-3525.  

Redman, A., Wiek, A. and Barth, M. (2021) ‘Current practice of assessing students’ sustainability competencies: A review of tools’, Sustainability Science, 16, pp. 117-135.  

Rusinko, C. A. (2010) ‘Integrating sustainability in management and business education: A matrix approach’, Academy of Management Learning & Education, 9(3), pp. 507-519. 

 
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Authors: Sarah Junaid (Aston University); Yann Serreau (CESI); Alison Gwynne-Evans (University of Cape Town); Patric Granholm (Åland University of Applied Sciences); Kathryn Fee (Queen’s University Belfast); Sarah Jayne Hitt, Ph.D. SFHEA (NMITE, Edinburgh Napier University).

Keywords: Pedagogy.

Who is this article for?: This article should be read by educators at all levels in higher education who wish to integrate ethics into the engineering and design curriculum or module design

 

Using a constructive alignment tool to plan ethics teaching:

Incorporating ethics into an already-packed engineering curriculum can be an overwhelming prospect. But as more accreditation bodies are requiring engineering programmes to evidence the inclusion of ethics, this activity is becoming essential. Recently, a planning tool has been developed by a team of academics that you can use to constructively align your learning outcomes with activities and assessments that positively reinforce the inclusion of ethics.

For instance, in a year 2 Mechanical Engineering course, an existing outcome might read: “Use CAD modelling and additive manufacturing in the product development process and embed control sensors, actuators and physical hardware into a complete system.” As it is written, it contains no reference to ethics. But after comparing this outcome against language found in AHEP4, the CDIO Syllabus, and the Learning Landscape found in this Toolkit’s Ethics Explorer, you might revise it to read: “Use CAD, modelling and additive manufacturing in the product development process and embed control sensors, actuators and physical sensors to design a safe and complete system to address a societal need.” The minor changes to the language (shown in italics) ensure that this outcome reinforces the ethical dimension of engineering and encourages the ethical development of engineers. These changes also then inform the language used in activity briefs and the criteria by which students are assessed.

This tool has been used in workshops at Aston University and the 2023 SEFI conference, and is endorsed by CDIO.

Download this planning tool:

 

Engineering Ethics Teaching – Planning Tool Worksheet

Stage1: Resources – Tabulate all relevant resources and their Learning Outcomes or Programme Outcomes:

What are your Learning Outcomes for the topic you will teach? Please list them here.

Highlight the verbs in blue and the ethical topics in red; this will help highlight any potential gaps.

Program level (My module, course, class, or lecture)  

Accreditation level

 

National or Professional level ethics map or framework (optional) International level
Reference/ Source [Your University and course title] [Your national accreditation board] [e.g. codes of conduct, code of ethics, ethical principles, suggested teaching approaches] [e.g. CDIO Syllabus, ABET, Washington Accord]
Learning Outcome 1 [Write current Learning Outcome here] [Copy and paste the relevant competency here] [Copy and paste the relevant guidance here] [Copy and paste the relevant competency/skill here]
Learning Outcome 2 Enter text here Enter text here Enter text here Enter text here
Learning Outcome 3 Enter text here Enter text here Enter text here Enter text here

 

Stage 2: Re-write Learning Outcomes (LOs): 

Learning Outcomes Re-worded Learning Outcomes Rationale
LO1.

[Copy and paste LO from Stage I table here]

LO1.

[Re-write LO and highlight verbs in bold here]

[Justify your changes or if unchanged, justify why here]
LO2. LO2. Enter text here Enter text here
LO3. LO3. Enter text here Enter text here

 

Stage 3: Ethics Teaching Tools – Evidence-based tools and resources to help with teaching engineering ethics:

 

Three Examples of Ethics Teaching Models:

1. The Rest Model for Ethical Decision Making – Individual (Jones, 1991).

2. The Ethical Cycle – Problem-solving (Van de Poel & Royakkers, 2007).

3. The Innovent-E Model – Competencies – Language: French
(For access to competences in ethics contact Yann Serreau: yserreau@cesi.fr)

Note: you can use other models.

 

Stage 4: Constructive Alignment – Tabulate the LOs, activity and assessment, and ensure alignment:

My module – Learning Outcomes Learning & teaching activity Assessment
LO1.

[Copy and paste new LO from Stage II table here]
[What activity will support and prepare the student for the assessment?] [What assessment would be needed to demonstrate this new LO?]
LO2. Enter text here Enter text here Enter text here
LO3. Enter text here Enter text here Enter text here

 

 

Download this planning tool:

 

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

Authors: Dr. Jude Bramton (University of Bristol); Elizabeth Robertson (University of Strathclyde); Sarah Jayne Hitt, Ph.D. SFHEA (NMITE, Edinburgh Napier University).

Keywords: Collaboration; Pedagogy.

Who is this article for?: This article should be read by educators at all levels in higher education who wish to integrate ethics into the engineering and design curriculum or module design.

 

How to organise class sessions:

Engineering educators can find a wealth of ethics case studies in the Engineering Ethics Toolkit. Each one focuses on different disciplines, different areas of ethics learning, and different professional situations, meaning there is almost certainly a case study that could be embedded in one of your classes.

Even so, it can be difficult to know how to organise the delivery of the session. Fortunately, Toolkit contributors Jude Bramton of the University of Bristol and Elizabeth Robertson of the University of Strathclyde have put together diagrams that demonstrate their approaches. These processes can act as helpful guides for you as you integrate an Ethics case study in one of your engineering class sessions.

 

Jude Bramton’s class session organisation looks like this:

You can read more about her approach here.

 

Elizabeth Robertson’s class session organisation looks like this:

You can read more about her approach here.

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

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