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C. M. Rathnayaka; J. Ganapathi; S. Kickbusch; L. Dawes; R. Brown – European Journal of Engineering Education, 2024
Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However,…
Descriptors: Educational Resources, Laboratories, Electronic Learning, Engineering Education
Lowe, David; Goldfinch, Tom; Kadi, Anthony; Willey, Keith; Wilkinson, Tim – European Journal of Engineering Education, 2022
The professional formation of new graduates and their ability to perform well at the start of their career depends on the development of both technical skills and professional competencies. Whilst the latter aspects have become increasingly considered within engineering programs, they are often learnt within an academic context rather than a…
Descriptors: Engineering Education, College Graduates, Competency Based Education, Skill Development
Mann, Llewellyn; Chang, Rosemary; Chandrasekaran, Siva; Coddington, Alicen; Daniel, Scott; Cook, Emily; Crossin, Enda; Cosson, Barbara; Turner, Jennifer; Mazzurco, Andrea; Dohaney, Jacqueline; O'Hanlon, Tim; Pickering, Janine; Walker, Suzanne; Maclean, Francesca; Smith, Timothy D. – European Journal of Engineering Education, 2021
Problem-based learning (PBL) has a history of producing strong educational results in engineering; however, global society is challenged by highly complex environmental, socio-political and technical problems summarised in the UN Sustainable Development Goals (SDGs). This obliges us to explore educational approaches that address complexity. Yet,…
Descriptors: Problem Based Learning, Engineering Education, Educational Innovation, Holistic Approach
Li, Huaizhong; Öchsner, Andreas; Hall, Wayne – European Journal of Engineering Education, 2019
This paper introduced how a mechanical engineering course was redesigned by applying experiential learning theory to improve student engagement and learning experience. Design of machine elements has been considered by students to be a difficult course. Traditional teaching methods tend not to be effective in engaging students. Experiential…
Descriptors: Experiential Learning, Learner Engagement, Student Experience, Engineering Education
Coupland, Mary; Solina, Danica; Cave, Gregory E. – Mathematics Education Research Group of Australasia, 2017
In this paper, we report on developments in the Mastery Learning (ML) curriculum and assessment model that has been successfully implemented in a metropolitan university for teaching first-year mathematics. Initial responses to ML were positive; however, we ask whether the nature of the ML tests encourages a focus on shallow learning of…
Descriptors: Foreign Countries, Mastery Learning, College Freshmen, Engineering Education
Jensen, Matilde Bisballe; Utriainen, Tuuli Maria; Steinert, Martin – European Journal of Engineering Education, 2018
This paper presents the experienced difficulties of students participating in the multidisciplinary, remote collaborating engineering design course challenge-based innovation at CERN. This is with the aim to identify learning barriers and improve future learning experiences. We statistically analyse the rated differences between distinct design…
Descriptors: Barriers, Concept Mapping, Interdisciplinary Approach, Engineering Education
Cameron, Ian; Crosthwaite, Caroline; Norton, Christine; Balliu, Nicoleta; Tadé, Moses; Hoadley, Andrew; Shallcross, David; Barton, Geoff – Advances in Engineering Education, 2008
This work presents a unique education resource for both process engineering students and the industry workforce. The learning environment is based around spherical imagery of real operating plants coupled with interactive embedded activities and content. This Virtual Reality (VR) learning tool has been developed by applying aspects of relevant…
Descriptors: Engineering Education, Industry, Electronic Learning, Simulated Environment