Conference Session

Materials Division (MATS) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Olubiyi Obada, Ahmadu Bello University, Nigeria; Simeon Akindele Abolade, Atlantic Technological University, Ireland; Shittu Babatunde Akinpelu, Atlantic Technological University, Ireland; Ayodeji Nathaniel Oyedeji, Ahmadu Bello University, Nigeria; Emmanuel Okafor, King Fahd University of Petroleum and Minerals, Saudi Arabia; Cynthia Ujuh Odili, Ahmadu Bello University, Nigeria; Vanessa Faustina Ogenyi; Sokoga Victor Ategbe, Ahmadu Bello University, Nigeria; Adrian Oshioname Eberemu, Ahmadu Bello University, Nigeria; Fatai Olukayode Anafi, Ahmadu Bello University, Nigeria; Abdulkarim Salawu Ahmed, Ahmadu Bello University, Nigeria; Akinlolu Akande, Atlantic Technological University. Ireland; Raymond Bacsmond Bako

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

reinforcement learning. His research interests include medical informatics, robotics, animal monitoring, and prediction of biomaterial properties. Before joining the King Fahd University of Petroleum and Minerals, Saudi Arabia, Emmanuel worked as a faculty member at the Department of Computer Engineering, Ahmadu Bello University, Nigeria. Furthermore, Emmanuel was a research and teaching fellow at the Massachusetts Institute of Technology (MIT), USA, and earned a distinction in the course: ”An Introduction to Evidence-Based Undergraduate STEM Teaching” coordinated by the Center for the Integration of Research Teaching and Learning (CIRTL), 2022. ©American Society for Engineering Education, 2024

Conference Session

Materials Division (MATS) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luciana Lisa Lao, Nanyang Technological University, Singapore; LAY POH TAN

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

conduct analysis of their own results. Students work in groups and are given 12 – 13 weeks to complete the given task independently. We believe that this shift from a traditional, passive learning approach towards an active learning will not only increase students’ engagement and achievement of learning outcomes but also train our students to take ownership of their learning and embrace self-directed learning practices [6], [7], [8]. 4.1.3 Solidworks/CAD/AutoCAD A new Digital Design Lab was proposed during the curriculum revamp exercise. It aims to familiarise students with design concepts and digital tools that are available in virtual design of engineering parts or components. Apart from learning how to use Solidworks and CAD