Theme: Graduate employability and recruitment, Research

Author: Dr Salma .M.S. Al Arefi (University of Leeds)

Keywords: Science and Social Capitals, Sense of Belonging, Intersectionality, Student Success

Abstract: Being in a marginalised position due to feeling of otherness because of one’s gender as well as intersecting identity can create psychological hidden barriers. Coupled with science and social capitals such variables are key determines of student’s self-concept of engineering self-efficacy, competencies, and abilities. The impact of being othered may not only be limited to interest for participation in engineering but could extend beyond and significantly affect student engagement, success, and affiliation with engineering. This could impact students’ sense of belonging to their degree programme, university, and discipline, leading to adverse impacts ranging from low engagement to low attainment, or discontinuations. Such experiences can be greatly exacerbated for students with intersecting identities (‘double, triple, jeopardy’), e.g., a female student who identifies as a first-generation, working-class, disabled, commuter, carer, neurodiverse or mature student. This report presents work on progress on a student-centred interventional case study on exploring the impact of the intersectional lived experiences of underrepresented, disadvantaged and minoritised student groups in engineering beyond obvious gender and pre-university qualifications characteristics.

 

1.     Problem Statement

Initiatives on closing the technical skills gap remain limited to access to either engineering education or the workplace.  Identifying and supporting students facing barriers to continuation can be key to enhancing student success in a way that bridges the gap between the ignition of interest and transition to the engineering industry.  Early but sustained engagement throughout the life cycle of an engineering student is however vital to cultivate students’ sense of belonging to their modules, degree programmes and the wider industry. That would in turn support the formation of their engineering identity.

Gendered identity, as well as pre-university qualifications, are yet perceived to exert the strongest force for marginalisation and underrepresentation in engineering education and the workplace. The impact intersecting identities can have in relation to ignition of interest, participation, as well as the formation of engineering identity, also need consideration.  Along with gender, characteristics such as race, class, age, or language can have an added impact on already minoritized individuals (the ‘double, triple, quadrant…. jeopardy’), whereby the experience of exclusion and otherness can be exacerbated by overlapping marginalised identities. Coupled with the self-concept of own science capital, efficacies, and competencies [1-2], the formation of engineering identity could be expressed as a direct function of a sense of inclusion or otherwise exclusion [3]. Within this context, such an inherent feeling of connectedness describes the extent to which the lived experience of individuals is acknowledged valued and included [4], which is a healthy fertilizer for the formation of engineering identity. Perceived threats to one’s belonging due to a feeling of exclusion or rejection could on the contrary negatively impact one’s perception of self-efficacy and hence affiliation with engineering.

2.     Project Aims

The role of effect in learning to foster a sense of belonging and enhance a coherent sense of self and form the engineering identity has attracted growing pedagogical research interest. In academia, a sense of belonging has been shown to excrete the largest force on one’s intent to participate in engineering and to be the key sustainable vehicle for successful progressions. Because engineering learning activities are pursued in complex social interactions, acknowledging, and understanding the role of belonging in academic success is key to fostering an inclusive culture that encourages and recognises contributions from all.  It is hoped that the project outcomes can advise on understanding to support underrepresented, marginalised and minoritised students overcome self-perceived psychological barriers to their degree programme, university, or engineering workplace. The intersectional lens of the project is aimed to uncover key culprits that impact engineering identity formation for traditionally underrepresented, disadvantaged and minoritised students beyond obvious gender and pre-university education characteristics.

Outcomes will role model fostering an inclusive culture where engineering students from all backgrounds feel that they belong in an effort to support engineering higher education institutions to adhere to the changes introduced by the Engineering Council to the U.K. Standards for Professional Engineering Competency and Commitment around recognising inclusivity and diversity. This should be applicable to other STEM-related disciplines.

3.     Decolonial partnership

The project centres on students’ voices through a decolonial participation approach that acknowledges participants as co-researchers and enables them to take an active role in the co-creation of the project deliverables. Participation will be incentivised through recognition (authorship, certifications) as well as financial incentives.  The use of evidence-based active listening to enable students to share their lived experiences of belonging through storytelling and story sharing is hoped to create a safe space to empower and acknowledge student voices so that every student feel that they matter to their degree programme, university, and discipline. That in turn would cultivate authentic learner identity and a sense of belonging.

4.     Outcomes and future work

The findings are hoped to advise on a sustainable support approach whereby early and sustained engagement (throughout the student lifecycle from access to continuation, attainment, and progression) are prioritised to facilitate the transition of students into and from Engineering. Co-created artefacts from the project will be used to support access and continuation by providing examples of lived experiences for prospective students to associate with. Fostering a sense of belonging is hoped to have a direct impact on learner engagement, success, and attainment as well as enhancing students’ ability to progress towards achieving their unique goals beyond their degree.

The second phase of the 2-year project will involve student recruitment and selection, interventional listening, storytelling-based approaches and co-creation of artefacts.

Acknowledgement

The work is carried out as part of the fellowship of the Leeds Institute for Teaching Excellence in partnership with Dr Kendi Guantai, from Leeds Business School, Marketing Division and Dr Nadine Cavigioli Lifelong Learning Centre at the University of Leeds.

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.

Authors: Professor Sarah Hitt SFHEA (NMITE); Professor Raffaella Ocone OBE FREng FRSE (Heriot Watt University); Johnny Rich (Engineering Professors’ Council); Dr Matthew Studley (University of the West of England, Bristol); Dr Nik Whitehead (University of Wales Trinity Saint David); Dr Darian Meacham (Maastricht University); Professor Mike Bramhall (TEDI-London); Isobel Grimley (Engineering Professors’ Council).

Topic: Data security of smart technologies.

Engineering disciplines: Electronics, Data, Mechatronics.

Ethical issues: Autonomy, Dignity, Privacy, Confidentiality.

Professional situations: Communication, Honesty, Transparency, Informed consent.

Educational level: Intermediate.

Educational aim: Practise ethical analysis. Ethical analysis is a process whereby ethical issues are defined and affected parties and consequences are identified so that relevant moral principles can be applied to a situation in order to determine possible courses of action.

 

Learning and teaching notes:

This case involves a software engineer who has discovered a potential data breach in a smart home community. The engineer must decide whether or not to report the breach, and then whether to alert and advise the residents. In doing so, considerations of the relevant legal, ethical, and professional responsibilities need to be weighed. The case also addresses communication in cases of uncertainty as well as macro-ethical concerns related to ubiquitous and interconnected digital technology.

This case study addresses two of AHEP 4’s themes: 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 case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.

The dilemma in this case is presented in two parts. If desired, a teacher can use Part one in isolation, but Part two develops and complicates the concepts presented in Part one to provide for additional learning. The case allows teachers the option to stop at multiple points for questions and/or activities as desired

Learners will have the opportunity to:

Teachers will have the opportunity to:

 

Learning and teaching resources:

 

Summary:

Smart homes have been called “the road to independent living”. They have the potential to increase the autonomy and safety of older people and people with disabilities. In a smart home, the internet of things (IoT) is coupled with advanced sensors, chatbots and digital assistants. This combination enables residents to be connected with both family members and health and local services, so that if there there are problems, there can be a quick response.

Ferndale is a community of smart homes. It has been developed at considerable cost and investment as a pilot project to demonstrate the potential for better and more affordable care of older people and people with disabilities. The residents have a range of capabilities and all are over the age of 70. Most live alone in their home. Some residents are supported to live independently through: reminders to take their medication; prompts to complete health and fitness exercises; help completing online shopping orders and by detecting falls and trips throughout the house. The continuous assessment of habits, diet and routines allows the technology to build models that may help to predict any future negative health outcomes. These include detecting the onset of dementia or issues related to dietary deficiencies. The functionality of many smart home features depends on a reliable and secure internet connection.

 

Dilemma – Part one:

You are the software engineer responsible for the integrity of Ferndale’s system. During a routine inspection you discover several indicators suggesting a data breach may have occurred via some of the smart appliances, many of which have cameras and are voice-activated. Through the IoT, these appliances are also connected to Amazon Ring home security products – these ultimately link to Amazon, including supplying financial information and details about purchases.

 

Optional STOP for questions and activities: 

1. Activity: Technical analysis – Before the ethical questions can be considered, the students might consider a number of immediate technical questions that will help inform the discussion on ethical issues. A sample data set or similar technical problem could be used for this analysis. For example:

2. Activity: Identify legal and ethical issues. The students should reflect on what might be the immediate ethical concerns of this situation. This could be done in small groups or a larger classroom discussion.

Possible prompts:

3. Activity: Determine the wider ethical context. Students should consider what wider moral issues are raised by this situation. This could be done in small groups or a larger classroom discussion.

Possible prompts:

 

Dilemma – Part two:

You send an email to Ferndale’s manager about the potential breach, emphasising that the implications are possibly quite serious. She replies immediately, asking that you do not reveal anything to anyone until you are absolutely certain about what has happened. You email back that it may take some time to determine if the software security has been compromised and if so, what the extent of the breach has been. She replies explaining that she doesn’t want to cause a panic if there is nothing to actually worry about and says “What you don’t know won’t hurt you.” How do you respond?     

 

Optional STOP for questions and activities: 

1. Discussion: Professional values – What guidance is given by codes of ethics such as the Royal Academy of Engineering/Engineering Council’s Statement of Ethical Principles or the Association for Computing Machinery Code of Ethics?

2. Activity: Map possible courses of action. The students should think about the possible actions they might take. They can be prompted to articulate different approaches that could be adopted, such as the following, but also develop their own alternative responses.

3. Activity: Hold a debate on which is the best approach and why. The students should interrogate the pros and cons of each possible course of action including the ethical, technical, and financial implications. They should decide on their own preferred course of action and explain why the balance of pros and cons is preferable to other options.

4. Activity: Role-play a conversation between the engineer and the manager, or a conversation between the engineer and a resident.

5. Discussion: consider the following questions:

6. Activity: Change perspectives. Imagine that you are the child of one of Ferndale’s residents and that you get word of the potential data security breach. What would you hope the managers and engineers would do?

7. Activity: Write a proposal on how the system might be improved to stop this happening in the future or to mitigate unavoidable risks. To inform the proposal, the students should also explore the guidance of what might be best practice in this area. For example, in this instance, they may decide on a series of steps.

 

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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