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Assessing the Effects of an Interactive Web-native Materials Science Textbook on Student Self-efficacy

Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Ryan Barlow, zyBooks; Adrian Rodriguez, zyBooks; Lauren Fogg; Linda Ratts, Wiley; Yasaman Adibi, zyBooks; Jenny Welter, Wiley; Mary Fraley, Michigan Technological University
Tagged Divisions
Materials Division (MATS)
Psychology, vol. 54, no. 6, pp. 1063–1070, 1988. doi:10.1037//0022-3514.54.6.1063.[11] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering self‐efficacy: A validation study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016. doi:10.1002/jee.20121.[12] Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students' engineering self‐efficacy: A validation study. Journal of Engineering Education, 105(2), 366-395.[13] Baker, D., Krause, S., & Purzer, S. (2008, June). Developing an instrument to measure tinkering and technical self efficacy in engineering. In 2008 Annual
Relevance Score: 3.6259487

Campus Re-engineered: Tackling problems close to home to promote interest in the field of Materials Science and Engineering for non-majors

Conference Session
Materials Division (MATS) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sarah A Goodman, Stevens Institute of Technology; Emily L Atieh, Stevens Institute of Technology
Tagged Divisions
Materials Division (MATS)
] “Getting Under the Hood: How and for Whom Does Increasing Course Structure Work? | CBE—Life Sciences Education.” Accessed: Feb. 08, 2024. [Online]. Available: https://www.lifescied.org/doi/10.1187/cbe.14-03-0050[19] G. Trujillo and K. D. Tanner, “Considering the Role of Affect in Learning: Monitoring Students’ Self-Efficacy, Sense of Belonging, and Science Identity,” CBE—Life Sci. Educ., vol. 13, no. 1, pp. 6–15, Mar. 2014, doi: 10.1187/cbe.13-12-0241.
Relevance Score: 0.01874266

Teaching Basic Concepts in Machine Learning to Engineering Students: A Hands-on Approach

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)
processof materials discovery, which involves the identification of new materials with specificfeatures, served as the foundation for instructing the participants on the fundamental conceptsof ML [29].Therefore, this paper serves to report the module design and a hands-on technique that wassuccessfully implemented by ACENPEE to help students of various engineering backgroundsdevelop self-efficacy in ML. The next sections describe the approach used for the workshop,the discussion of students’ perceptions of the learning experience assessed through the learner’ssatisfaction survey, as well as the concluding section. The designed modules and snippets ofthe scripts used during the workshop are described in the appendix section. 2. Platforms, tools
Relevance Score: 0.018196916