Toolkit: Complex Systems Toolkit.

Author: Nafiseh M. Aftah, PhD Candidate (University of Kansas).

Topic: Why integrate complex systems in engineering education? 

Title: Complex systems in a transformational era.

Resource type: Knowledge article.

Relevant disciplines: Any.

Keywords: Interdisciplinarity; Problem-solving; Problem-based learning; Active learning; Professional development; Collaboration; Real world; Artificial Intelligence; Trade offs.

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

Downloads: A PDF of this resource will be available soon.

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 complex systems in engineering education. 

Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness. A free spreadsheet version of the framework can be downloaded. 

This resource relates to the Systems Thinking and Critical Thinking INCOSE competencies. 

AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4):  Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach (essential to the solution of broadly-defined problems).  

 

Premise:

Engineering education is undergoing a fundamental transformation. The convergence of technological, social, and environmental challenges demands that future engineers move beyond procedural problem-solving toward complex thinking – a mindset capable of navigating uncertainty, interdependence, and dynamic change. This shift has been accelerated by advances in Artificial Intelligence (AI), which have redefined both the nature of engineering practice and the competencies students must develop to thrive in it. 

For scientists and engineers, understanding complex systems is critical for the ability to apply knowledge and techniques across diverse contexts. This is particularly visible in fields such as bioengineering, which depends on advances in chemistry, physics, computing, and other engineering disciplines. Such integration requires designing subsystems where engineering expertise can be meaningfully applied. Complex systems also involve human interaction, introducing unpredictability, feedback loops, and uncertainty. Modern AI-enabled systems—ranging from autonomous vehicles to smart grids and biomedical devices—cannot be fully understood through a single traditional discipline. These systems are not simply complicated; they are interconnected, dynamic, and often nonlinear (Jakobsson, 2025). 

 

What this means for engineering education and educators:

Across the globe, educators have turned to Problem-Based Learning (PBL) as a central strategy for cultivating systems-oriented thinking. For instance, Tauro et al. (2017) and the case study conducted at Tishk International University demonstrate that integrating PBL within mechatronics education enhances students’ ability to connect theory with practice, encouraging collaboration and creativity in addressing multifaceted engineering problems. Similarly, Watters et al. (2016) show that industry–school partnerships transform classrooms into real-world laboratories, reinforcing the value of experiential learning and knowledge transfer between academia and professional practice. These initiatives reflect a broader movement toward authentic, interdisciplinary engagement, a necessary foundation for understanding and designing complex systems. 

However, adopting PBL and interdisciplinary methods is not only a pedagogical improvement but also an epistemological necessity. As Stegeager et al. (2024) emphasise, educators themselves must evolve from instructors to facilitators, cultivating reflective and adaptive learning environments that mirror the complexity of professional engineering contexts. Mynderse et al. further highlight that when students are given responsibility for solving open-ended problems, they report higher satisfaction and deeper conceptual integration. These outcomes suggest that active learning approaches foster the kind of complex, interconnected reasoning required for contemporary engineering practice. 

In parallel, the AI-driven classroom is transforming the educational landscape. Emerging evidence shows that generative AI tools support personalised learning and immediate feedback, freeing educators to focus on mentorship and creativity (Jaramillo, 2024). Yet this technological advancement also underscores the limits of automation. Machines can model and predict, but they cannot interpret ethical implications, reconcile trade-offs, or integrate human and ecological perspectives. This is where complex thinking becomes indispensable: it enables learners to understand AI not merely as a computational tool but as a component within broader sociotechnical systems. 

The need for complex systems understanding is especially acute in fields such as bioengineering and mechatronics, where technologies intersect with living systems and social contexts. The defining feature of complex systems is the interaction among multiple components that produce emergent, often unpredictable behaviour. For engineering students, grasping these principles means developing the ability to think beyond linear causality and to engage with feedback loops, uncertainty, and adaptive design. 

 

The imperative to transform engineering education:

In traditional engineering education, students get topics presented in discrete classes. They get trained in thermodynamics and fluid mechanics and they often forget what they have learned by the time they are at the control systems course where there is an opportunity to bring together skills from prior knowledge. This modularised model is already losing its effectiveness in preparing the students for encountering real-world problems. As the adage says, “In theory, theory and practice are the same; in practice, they are not”. Understanding the role of noise, measurement errors, simplifying assumptions and computational errors play an essential role. To this end, it is crucial to centre complex system design and embrace interdisciplinarity to develop a competency that supports life-long, adaptive learning.  

As an example, Aalborg University in Denmark stands as a global exemplary of systems-oriented engineering education. Its PBL model is not an add-on; it is the spine of the entire curriculum. Every semester, students tackle a new problem – often tied to societal needs such as urban planning, environmental sustainability, or healthcare. Students must identify relevant knowledge areas, work collaboratively across disciplines, and reflect on both process and outcome. Faculty report that this structure promotes holistic thinking, resilience, and a sense of professional identity early on the students’ journeys (Kolmos et al. 2008). 

On the undergraduate level, capstones are a common part of engineering education which happens at the late stages of the student’s studies. At Rowan University (New Jersey, USA), Engineering Clinics provide a different but equally powerful model. Students work across all four years on interdisciplinary teams, contributing to faculty research or industry-sponsored projects. These clinics are embedded in the curriculum and require students to engage deeply with current research problems, often involving complex technical and human systems. A junior clinic project, for example, might involve the optimisation of a renewable energy system integrating mechanical, electrical, and computer engineering principles. Therefore, students learn to navigate ambiguity, collaborate with experts, and see the relevance of their disciplinary knowledge in a broader context by confronting the messy nature of real data. 

These are two of many examples where systems thinking is cultivated. Students gain exposure to open-ended problems and practice seeking connection across domains as they encounter the limits of their knowledge. In this fast-moving era, crossing disciplines empowers students for lifelong adaptation, allowing them to incorporate their experiences into any new technological developments. It also encourages treating learning as a collaborative social process, rather than a solo race to secure the first job. 

Educators must do more than just deliver content; they also need to act as facilitators and learn alongside their students. By redesigning the curriculum around design-oriented problems that mirror real-world changes, higher education will better prepare future engineers to face upcoming systemic global challenges.  

 

Looking ahead:

As artificial intelligence and automation continue to reshape industry, engineering education must also evolve. Integrating complex systems into teaching offers students the opportunity to engage directly with the data-driven ecosystem they will encounter in practice. The goal is not only to produce technically skilled engineers, but also thoughtful stewards of technology who can navigate its broader social and ethical dimensions. 

One ongoing challenge is that independent projects often vary in quality and can be difficult to assess. Without intentional design, students may default to trial-and-error approaches instead of drawing on knowledge from prior courses. At the same time, the pressure to cover extensive technical material can make it difficult to provide the broader systems context essential for modern engineering. Yet when learning is reinforced across the curriculum, students are better prepared for future careers that demand systems-based thinking. 

Experiential, self-directed projects play a crucial role in this preparation. They allow students to choose their own path while working closely with advisors and industry partners. Whether developing a product, designing a system, or engaging with professionals, students gain a perspective that feels different from traditional coursework. This process offers them a glimpse of what it means to think and act like real engineers, fostering both confidence and adaptability as they transition from the classroom to the workplace.

 

References:

 

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.  

Toolkit: Complex Systems Toolkit.

Author: Mariam Makramalla, PhD, FRSA (New Giza University).

Topic: Integrating complex systems learning outcomes in engineering curricula.

Title: How to scaffold complex systems learning outcomes across a curriculum.

Resource type: Guidance article.

Relevant disciplines: Any.

Keywords: Learning outcomes; Pedagogy; Curriculum; Curriculum map; Critical thinking; Problem-solving; Life cycle; Decision-making . 

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

Downloads:

Who is this article for?: This article should be read by educators at all levels of higher education looking to embed and integrate complex systems topics into curriculum, module, and / or programme design.   

 

Premise:  

Teaching and learning engineering carries with it a double layer of complexity. On the one hand, this complexity is connected to the growing interdisciplinary nature of engineering itself. On the other hand, the complexity is connected to the growing diversity of engineering students that are often present in one project team. This multifaceted complexity requires a re-envisioned understanding of the role and purpose of the engineering educator.  

With the growing trend of a global classroom reality, we often find that learners in the classroom are representing different cultures, which in turn are rooted in them unconsciously carrying historical and socio-cultural baggage relating to these cultures. Thus, it becomes crucial to unpack the challenge and potential that such a diverse collective intelligence can offer to an engineering learning experience.  

As our understanding of the engineering discipline gets more rooted and interconnected with the precarious reality that our world is witnessing today, it becomes essential that the engineering education community would take up a proactive role in actively contributing to the formation of engineering citizenship. In other words, every engineering student should be educated as a citizen that has mastered the engineering cross-cutting fields in such a way that they are free to create and solve problems of the present and the future.  

With this in mind, it becomes very clear that the one-size-fits all model of a single discipline engineering classroom can no longer sustain itself. It does not factor in the richness that a diverse student body can offer, and it dilutes the value and potential of an engineering learner to think clearly or solve problems. It is therefore imperative that engineering educators grasp the complex reality of an integrated engineering discipline and address it in a way that fosters scaffolding of diverse knowledge. Some students might specialise in one core technical discipline. Yet, future projections for most students showcase the need to have a wide level of exposure to broader competency development. Students need to learn to understand the field of engineering at large and to develop system thinking skills that enable them to exist, challenge and have an impact on the system that they are a part of.  

 

How to scaffold learning outcomes in a complex engineering curriculum:

The below table has been designed for embedding Complex Systems Learning Outcomes across an engineering curriculum. It maps against competencies and suggests scaffolding techniques across educational levels. It is also important to note, that efforts need to be made to align to the relevant AHEP requirements or other accreditation standards. Table 1 presents the different strands of the Complex Systems Engineering Curriculum, colour coded in line with the INCOSE Competency Framework outline (INCOSE, 2025). Table 2 presents a practical guide for educators to scaffold Complex Systems learning outcomes across a curriculum. The intention is for the scaffolding framework to compare the trade-offs between different elements of the competency group. For example, system modelling and analysis as an element from the core competency and planning from the management competency. The table suggests activities that would integrate different competencies together in a scaffolded approach.  

Table 1. Competency Areas for Complex Systems (INCOSE, 2025).

Table 1 presents Competency Areas for Complex Systems. As mentioned, the skills range to include a wide variety of competencies, thereby enabling a solid and grounded systems thinking approach for students. As students approach their learning, they go through a series of development stages that gradually build up student level of expertise until they reach the stage of what the INCOSE competency framework refers to as a lead practitioner role. Building on the competencies of the complex system toolkit presented in Table 1, Table 2 presents a potential outline for a scaffolding framework that maps varying threads of the framework in a way that enables scaffolded activities at every developmental stage for learners. Depending on the learning context and educational level, educators can choose which level of attainment is appropriate to their curriculum.  

Table 2. Scaffolding Complex Systems Learning Outcomes across the curriculum 

 

Discussion and next steps:

As we are approaching the fuzzy front end to complexity in engineering pedagogy, as educators we need to be constantly toggling between devising frameworks, being informed by literature, contextualising ideas, validating these in our classrooms and repeating this cycle to continually fine-tune our complex teaching navigational complexity framework. The invitation is open for all educators who would like to connect as we continue to explore different ways of developing responsible engineers who leave a lasting and sustainable mark transforming their stationed realities.  

 

References:

   

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.  

 

Toolkit: Complex Systems Toolkit.

Author: Dr. Rebecca Margetts (Nottingham Trent University).

Topic: The importance of teaching and learning about complex systems.

Title: The real world is a complex system.

Resource type: Knowledge article.

Relevant disciplines: Any.

Keywords: Problem solving; Feedback loops; Decision-making; VUCA; Optimisation; Public health and safety; Risk; Sustainability; Ethics; Responsible design; Life cycle; Societal impact; Enterprise and innovation.

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

Downloads: 

Learning and teaching resources:

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 complex systems in engineering education. 

Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness. A free spreadsheet version of the framework can be downloaded.

This resource relates to the Systems Thinking and Critical Thinking INCOSE competencies.

AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4):  Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach (essential to the solution of broadly-defined problems). 

 

Premise: 

We live in a complex world. Complexity is a key challenge, captured in leadership terms by the VUCA framework: volatile, uncertain, complex and ambiguous (Lanucha 2024). Engineers have the privilege of creating products and processes for humans to use in this landscape. Each of these likely has numerous parts which interact, as well as interacting with the environment, people, and needing to meet a host of safety, quality, sustainability, ethics, and financial obligations. Traditionally, engineers analyse problems by breaking them down into simple parts. This helps understanding and makes calculations feasible, but it’s easy to lose understanding of the whole system. Any change can easily create a problem elsewhere. From a technical viewpoint, engineers need to understand this interconnectedness in order for their creations to work. In a wider sense, ‘systems thinking’ is a skill central to engineering quality and management techniques, which seek to rationalise the complexity of entire organisations and their ever-changing market pressures.  

 

The case for understanding systems: 

Systems is perhaps one of the most misunderstood words in engineering. It is often found combined with mathematical modelling or control – topics often perceived as challenging – and is used in other fields like Computer Science, where tools and models are different. In all cases, the idea revolves around a group of interacting or interrelated elements which form a unified whole. Those elements can be physical or information, hardware or software, or any combination of mechanical, electrical, and other engineering domains. Thinking in terms of systems can therefore be thought of as a holistic approach.  

The Engineering Council UK’s AHEP criteria include a systems approach: C/M6 – “Apply an integrated or systems approach to the solution of complex problems.” Several other AHEP criteria also reference complexity and complex problems, which they define as having “no obvious solution and may involve wide-ranging or conflicting technical issues and/or user needs that can be addressed through creativity and the resourceful application of engineering science. The Systems Thinking Alliance (2025) gives a broader definition of complexity as referring to “the condition of systems, objects, phenomena, or concepts that are challenging to understand, explain, or manage due to their intricate and interconnected nature. It involves multiple elements or factors that interact in unpredictable ways, often requiring significant information, time, or coordinated efforts to address.” For these, there is no ‘one-size-fits-all solution’ (Ellis 2025). This is the reality that engineers need to manage by understanding the potential effects on all parts of the system. 

In order to analyse, engineers dissect complexity into manageable components, and educators teach these simple components before moving onto more complex systems. For example, students initially learn basic electrical components, simple beams, rigid bodies, etc. before bringing these together in case studies, and then moving onto topics like mechatronic systems. Historically, engineers specialised on graduation, perhaps becoming a stress engineer or fluid dynamicist in dedicated offices and functional teams.  A design decision by one team could have unintended consequences for another, as well as additional uncertainty. The advent of cross-functional project and ‘matrix’ organisations mitigated against this, and companies have moved towards attribute teams which can consider the balance of behaviour. Even so, some uncertainty remains in the form of assumptions in calculations, changes in material properties with temperature or stress, or small variations in composition and manufacturing tolerances, which can all accumulate. Any parts which are bought ‘off-the-shelf’ or made by other companies under license must be carefully specified. Relationships can be nonlinear – or even chaotic – and contain feedback loops which can amplify changes (Kastens et al 2009). This all increases the risk of a product’s comfort, performance, and safety being impacted in ways that weren’t anticipated. Any problem that doesn’t come to light until the testing phase – late in the design process – represents costly redesigns and delays. In the unlikely event that a problem isn’t captured during testing either, the outcome could be disastrous. 

Systems engineers will bring the product together and establish these complex behaviours through models and testing. Identifying potential problems early in the design phase can save significant money and facilitate better designs. This can be challenging, especially for systems using novel materials or operating in extreme environments, which aren’t accurately captured by standard calculations. Models may be linearised, neglect external forcing, or be derived for an assumed air density or ambient temperature which may not be valid. In recent decades, the engineering industry has moved towards model-based design and virtual prototyping, facilitated by advances in computer tools. These are increasingly sophisticated, but models still need to be built by engineers with an appreciation of complexity and the mechanisms by which a problem could arise. As humans develop new materials and technologies, and explore the limits of what is possible, engineering techniques and calculations need constant revision, and software tools are frequently updated to facilitate this.  

That holistic view of problems has benefits outside of designing engineering artefacts. The manufacturing process is itself a complex system with potentially long supply chains. As is the organisation, which is comprised of numerous people operating in a landscape of financial pressures, employment law, politics and culture. Quality guru William Deming’s 14 Points for Management (Deming 2018) can be viewed as a systems approach to handling this complexity, by breaking down barriers between departments and instigating continuous improvement. Once a product is produced, it exists in a wider world and continues to interact with it. From a sustainability viewpoint, this can be the user and surrounding community, the environmental impact over a product’s lifecycle, and the financial markets which dictate whether a product is viable. It can also be the social, political, and legal landscapes: these can place direct constraints in the forms of laws governing safety and emissions (such as the UK’s legally binding target of net zero by 2050), or through embargos, tariffs, and subsidies. Each country has its own regulations, which can necessitate multiple variations of a product: a good example is cars, which need to be produced in both left- and right-hand drive, satisfy varying safety and emissions regulations, and cater for differing personal and cultural preferences for size, noise, usage and driving styles. Even when not legislated, a company might choose to support fair trade, lead the way in sustainable practices, or refuse to do business with suppliers or regimes they find objectionable – potentially making this a key part of their brand.  

An engineer’s ability to appreciate and understand the wider social and business landscape is a reason why finance and management consultancy companies can often be seen recruiting engineers at student careers fairs. The Sainsbury Management Fellowship (SMF) scheme notably develops UK engineers as industry leaders, and fellows have made a major contribution to the UK’s economic prosperity (RAEng 2025). 

 

Conclusions:

Complex systems are the “real world” that engineers attempt to understand and design for. They are complicated, interconnected, changing, and uncertain. The well-known part of engineering is analysis: breaking systems into understandable parts. There needs to be a parallel operation where those parts are assembled or integrated into a whole, and that whole interacts with everything around it. This is where unforeseen problems can occur. Systems models and a holistic systems thinking approach can mitigate this risk. A systems approach and ability to manage complexity is a key skill for engineers, and positions them well for other fields like management.   

 

References:

 

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.  

A series of new How-To Guides have been developed by universities across the UK as part of the Royal Academy of Engineering’s (RAEng) Diversity Impact Programme (DIP)

Supported by the Department for Science, Innovation and Technology, this programme funds projects that inspire change within university engineering departments and tackle unequal outcomes experienced by students from underrepresented groups.

Over the past three years, the Diversity Impact Programme has provided grants of up to £100,000 to 22 university projects. The latest phase focuses on sharing what has been learned through practical, evidence-based How-To Guides that other universities can replicate to embed inclusive practices and strengthen outcomes for all engineering students.

 

Funded awardees and their guides

Seven awardees have produced user-friendly guides on inclusive approaches within engineering education:

 

Our guide

We’re proud that our recently published guide, Integrating the Engineering Professors’ Council’s Inclusive Employability Toolkit into the Higher Education Engineering Curriculum (featured in our Inclusive Employability Toolkit), was developed in collaboration with Wrexham University, one of our Toolkit supporters alongside Canterbury Christ Church University, Equal Engineers, and The Royal Academy of Engineering. Through DIP funding, Wrexham University collaborated with us to develop a How-To Guide demonstrating how to use the Toolkit in practice, featuring real-world case studies of students and educators applying it and detailed session plans. This collaboration has enabled us to share practical, scalable strategies that advance inclusive employability within engineering education. We’re delighted to be featured alongside other outstanding contributions from Swansea University, University of Plymouth, King’s College London, University of Dundee, University of Strathclyde, and University of the West of England.

 

Explore the guides

We encourage our members and partners to explore the other awardees’ guides to see how their insights and approaches could inform your own practice. Visit the RAEng website to view all the How-To Guides by clicking here.

 

This post is also available here.

Teaching ethics and wondering how to tie learning outcomes to accreditation criteria? Look no further!

The Ethics Learning Landscape, part of the Engineering Ethics Toolkit‘s interactive Ethics Explorer, illustrates in table form the relationship between learning outcomes, AHEP criteria, graduate attributes, and possible locations for inclusion within a course or module.  

Whilst the Ethics Learning Landscape is best viewed as part of the Ethics Explorer, which replaced the static engineering ethics curriculum map published in 2015, there is also a printable version available in PDF form, that summarises content from the interactive Explorer.

The Ethics Explorer is designed to help engineering educators navigate the landscape of engineering ethics education, finding their own path through what can sometimes seem like a wilderness. The Ethics Explorer is part of the Engineering Ethics Toolkit, an open access resource designed to help engineering educators embed ethics in their teaching.

Access our latest Ethics Toolkit content, and learn how to get involved here.

 

This post is also available here.

Authors: Siara Isaac; Valentina Rossi; Joelyn de Lima.

Topic: Transversal skills that promote sustainability.

Tool type: Teaching (Experiential learning activity guide).

Relevant disciplines: Any.

Keywords: Negotiation Skills; Perspective taking; Role-play.

Sustainability competency: Systems thinking; Critical thinking.

Related SDGs: SDG 4 (Quality education); SDG 7 (Affordable and clean energy); SDG 9 (Industry innovation and infrastructure); SDG 12 (Responsible consumption and production); SDG 13 (Climate action).

Reimagined Degree Map Intervention: Active Pedagogies and Mindset Development; More Real-World Complexity; Cross-Disciplinarity.

Who is this article for?: This article should be read by educators at all levels of higher education looking to embed and integrate ESD into curriculum, module, and / or programme design.

Link to resource: How to support students to develop skills that promote sustainability

 

Learning and teaching notes:

This experiential activity aims to incorporate sustainability reflections into students’ group work. It uses a selection of materials with different properties to engage participants in building a wind turbine prototype based on a contextualised negotiation of multiple facets of sustainability.

Taking a disciplinary standpoint, participants first assume one of four engineering roles to identify specific sustainability priorities based on their role’s responsibilities and expertise. Next, they represent the perspective of their assigned role in an interdisciplinary group to optimise sustainability in the design of a wind turbine.

Throughout the activity, students are given targeted and short theoretical input on a selection of transversal skills that facilitate the integration of sustainability in group work: systems thinking, negotiation skills and perspective taking.

This activity guide provides the outline and material to assist the facilitator to prepare, and the slides and handouts for teaching the activity in approximately 75min. It can be facilitated with tangible objects (e.g. LEGO) as well as online. We invite you to adapt this activity to your context and tangibles availability.

 

Click here to access the activity guide

 

Supporting resources on the development of transversal skills:

https://zenodo.org/communities/3tplay/records

 

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. 

This month marked a milestone for the engineering education community, as the EPC and E-DAP launched their practical, step-by-step Deaf Awareness Toolkit* to a wider audience for the first time.

Designed for engineers at all career stages, the toolkit offers practical training to build inclusive skills, implement meaningful measures, and encourage open participation, ultimately improving engineering outcomes through greater accessibility and communication.

 

Breaking new ground in Engineering inclusion

Hosted by EPC CEO Johnny Rich, the toolkit’s accompanying webinar ‘Being heard: How everyone benefits from deaf awareness’ (available to watch here) brought together over 50 attendees from more than 29 institutions. It marked the first time the UK engineering community has come together in this way to explore how deaf awareness can unlock stronger communication, collaboration and innovation across the sector.

The panel featured voices from RNID, the EPC, E-DAP and professionals with lived experience, offering engineers practical, experience-led guidance grounded in real-world insight—not just theory.

 

Closed captions: a simple shift, a big impact

One key takeaway is that closed captions do more than support communication. They encourage presenters to structure content more clearly, making complex ideas easier to follow. This is especially important in engineering, where technical information needs to be communicated accurately across classrooms, meetings, and fast paced R&D environments.

Lucia Capogna (E-DAP) showed just how simple this can be in practice, giving a live demonstration of how to activate captions in PowerPoint. It is a small shift that can make a big difference, and it is easier to implement than many people realise.

 

Key messages from the panel

Frankie Garforth (RNID)
Frankie addressed widespread misconceptions around deafness, hearing loss and tinnitus, reminding us that over 18 million people in the UK are affected. “You’ll know people living with this,” she said. “It’s good to support them.” She highlighted how deaf-aware technologies like closed captions can significantly improve communication – often in ways people don’t realise until they experience it first hand.

Dr. Sarah Jayne Hitt (EPC)
Sarah Jayne emphasised that some of the most impactful accessibility technologies are already freely available. Many were showcased earlier in the webinar, and others can be explored via the EPC website. These tools, she explained, complement the learning that happens through real human connection – like her own journey learning ASL from a school teacher and later embedding deaf awareness in everyday university life.

Ellie Haywood (E-DAP)
Ellie shared how she took personal responsibility to embed deaf awareness into her workplace a few years ago. Her goal: to make accessibility part of the default way her team operated, so no one would need to ask for special measures. The impact was immediate – improving team efficiency and communication well beyond the deaf community. This inclusive approach proved particularly effective in high-tech R&D projects.

 

Pilot and student feedback

E-DAP piloted the Deaf Awareness Toolkit with nearly 500 first-year students across civil, mechanical and other engineering disciplines. Feedback was overwhelmingly positive, particularly among non-native English speakers, who reported being better able to follow lectures and understand the content.

One simple innovation, using a blank PowerPoint slide during Q&A, made a big difference in helping students catch questions that might otherwise be lost in the noise of a busy classroom.

Survey responses showed nearly two-thirds of students felt neutral to strongly positive about captions and wanted to see them used more widely.

 

Resources and tools available now

The Deaf Awareness Toolkit is designed to help educators and engineers improve everyday communication and inclusion. It includes:

 

Beyond communication: safety, inclusion and culture

Deaf awareness goes beyond communication. In engineering environments, visual alarms and clear auditory cues support safety. Inclusive meeting behaviours, accessible research environments, and awareness of hearing health can all contribute to a more inclusive and effective working culture. Clear communication isn’t just a benefit for deaf individuals, it supports better outcomes for everyone.

 

The vision: One Million Engineers

This is just the beginning. Our goal is to engage one million engineers with accessibility.

With the EPC platform reaching 7,500 engineering academics across 82 institutions, and 179,000 students enrolled in those institutions, we are taking our first steps towards that vision.

Accessibility isn’t an optional extra. It’s a core part of engineering education and inclusion that we want to instil in future engineers.

 

What’s next

E-DAP and the EPC are now working together to embed deaf awareness more deeply into engineering practice and culture. Future activities will include:

 

*E-DAP’s Role as an Ally

E-DAP is an active ally to the Deaf and deaf communities. We do not speak for them, but work in partnership with experts, advocates, and individuals with lived experience to improve awareness and inclusion in engineering and education.

We collaborate with the community to learn and co-create. Our goal is to support engineering innovation by enabling better communication for everyone, and to implement inclusion in engineering through technology, tools, learning, and partnerships that embed inclusive practices and create lasting change.

A Note on Language

Language matters. Whether someone identifies as Deaf, deaf, has hearing loss or tinnitus, they are all individuals, and respectful language helps create more inclusive spaces. If you’re unsure how to phrase something, ask. It’s always better to check than assume. Helpful guidance on terminology is available from the RNID.  

 

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. Kieran Higgins(Ulster University); Dr. Alison Calvert (Queen’s University Belfast).

Topic: Integrating Education for Sustainable Development (ESD) into higher education curricula.

Type: Guidance

Relevant disciplines: Any.

Keywords: Curriculum design; Global responsibility; Sustainability; SDGs; Course design; Higher education; Pedagogy;

Sustainability competency: Anticipatory; Integrated problem-solving; Strategic; Systems thinking.

Related SDGs: SDG 4 (Quality education); SDG 13 (Climate action).

Reimagined Degree Map Intervention: Adapt and repurpose learning outcomes; Authentic assessment; Active pedagogies and mindset development.

Who is this article for?:  This article should be read by educators at all levels of higher education looking to embed and integrate ESD into curriculum, module, and / or programme design.

Link to resource: AdvanceHE’s Education for Sustainable Development Curriculum Design Toolkit

 

Learning and Teaching Notes:
Supported by AdvanceHE, this Toolkit provides a structured approach to integrating Education for Sustainable Development (ESD) into higher education curricula. It uses the CRAFTS methodology and empowers educators to enhance their modules and programs with sustainability competencies aligned with UN Sustainable Development Goals.

Key Features:
• Five-Phase Process: Analyse stakeholder needs, map current provision, reflect on opportunities for development, redesign with an ESD focus, and create an action plan for continuous enhancement.
• Practical Tools: Includes templates for stakeholder analysis, module planning, active learning activities, and evaluation.
• Flexible Implementation: Designed for use at both module and programme level.
• Competency-Based: Focuses on developing authentic learning experiences across cognitive, socio-emotional, and behavioural domains.

Benefits
• Identify stakeholder sustainability needs
• Map existing ESD elements in your curriculum
• Reflect on opportunities to enhance ESD integration
• Redesign modules with active learning approaches of ESD
• Create actionable plans for implementation and evaluation

Click here to access the Toolkit.

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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. 

Authors: Dr. Kieran Higgins (Ulster University); Dr. Alison Calvert (Queen’s University Belfast).

Keywords: Curriculum design; Global responsibility; Sustainability; SDGs; Course design; Higher education; Pedagogy.

Who is this article for?: This article should be read by module coordinators, programme directors, and teaching teams in higher education who want to meaningfully integrate ESD into their curriculum design and delivery.

 

It’s always a struggle to get started on something new in the time- and resource-poor environment that is higher education. Sustainability can become just another box to tick rather than the world-changing priority it should be.

That’s why we have created the Education for Sustainable Development Curriculum Design Toolkit to build sustainability into the curriculum in a way that stimulates the critical reflection it needs to truly embed it within modules.

We knew there was more to ESD than simply labelling a module handbook with the SDG logos, especially when it was only SDG4 because it happens to mention education. There was a need to become familiar and comfortable with a deeper perspective on the SDGs and their related targets and indicators – without becoming intimidated by them. ESD should prepare students to tackle unforeseen challenges and navigate complex systems, rather than focusing on content alone. As higher education professionals, we recognised the inherent challenges of this.

As a result, we developed our CRAFTS (Co-Designing Reflective Approaches for the Teaching of Sustainability) model of curriculum design, based on an adaptation of Design Thinking, to provide a structured and usable, yet accessible, flexible, and not discipline-specific means of embedding and embodying ESD in the curriculum. We were then approached by AdvanceHE to develop this further into a practical, systematic resource that would empower educators to take genuine ownership of sustainability in their teaching and assessment.

The Toolkit helps tackle these issues in a straightforward way by breaking them down into five stages.

First, it shows how to analyse what stakeholders like students, employers and accrediting bodies want and need from a module when it comes to sustainability.

Then, it guides educators to map exactly what is being taught as the curriculum stands, aligning it to the SDGs and the ESD Competencies. This is a moment of real relief for many people, who discover that much of what they already do aligns perfectly with ESD.

After that, there’s a guided reflection to see where stronger integration might happen or where superficial coverage can be expanded into something more meaningful.

The redesign process helps to embed active learning and authentic assessments and finishes off with an action plan for moving forward and measuring impact for future evaluation.

We find it heartening to watch colleagues pivot from feeling like ESD is an add-on to realising it can enhance what they already do. Instead of worrying that they must become experts in every single SDG, the Toolkit reminds them that authentic engagement with a few well-chosen goals can lead to the deeper kind of learning we all aspire to provide.

This personal, reflective approach has helped academics overcome the sense that sustainability in the curriculum is an overwhelming requirement. They see it as a powerful lens through which students learn to handle uncertainty, become resilient critical thinkers and gain the confidence to tackle real-world problems.

We hope the Toolkit continues to spark conversations and encourage more creative approaches to ESD across disciplines. We don’t believe there’s a one-size-fits-all solution. It has been inspiring to see colleagues reclaim that sense of possibility and excitement, reassured that teaching for a sustainable future can be woven into what they’re already doing – just with an extra layer of intentionality and reflection.

If you’re looking for a way to bring ESD into your own classroom, we hope the Toolkit will be a reliable companion on that journey.

Dr Kieran Higgins (Lecturer in Higher Education Practice, Ulster University) and Dr Alison Calvert (Senior Lecturer in Biological Sciences, Queen’s University Belfast) have collaborated on Education for Sustainable Development projects for over 4 years, drawing on extensive and wide ranging experiences of higher education and sustainability. Their vision is of transformed global higher education curricula that empowers all graduates, regardless of discipline or career path, to become champions of a sustainable future.

 

This post is also available here.

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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