Conference Session

Materials Division (MATS) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Michael Roberts, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

one’sattitude/motivation, self-efficacy, and experience with technology. How a student views andvalues their education will influence how seriously they interact with an online course [3]. For anonline class, it is up to the student to participate in class and interact with the course.Student engagement can be enhanced by improved instructional techniques. Methods ofteaching can be broken down into four categories; instructor centered, interactive,individualized, and experiential [4]. Instructor centered learning primarily involves one-waycommunication from the instructor to the students. Questions from instructor to the whole classis also a form of an instructor centered strategy; this method primarily facilitates passive learningfor the student which

Conference Session

Materials Division (MATS) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joshua Paul Steimel, Humboldt State University; JuEun Lee, Humboldt State University

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

. 1, pp. 57-72, 2005. 16. Shuman, L. J., et al., "The Impact of Engineering Curriculum on Retention and Academic Performance," Journal of Engineering Education, vol. 88, no. 4, pp. 441-448, 1999. 17. Gutiérrez, K. D., & Rogoff, B., "Cultural Ways of Learning: Individual Traits or Repertoires of Practice," Educational Researcher, vol. 32, no. 5, pp. 19-25, 2003.18. Handelsman, J., et al., "Scientific Teaching," Science, vol. 304, no. 5670, pp. 521-522, 2004.19. Seymour, E., & Hewitt, N. M., Talking About Leaving: Why Undergraduates Leave the Sciences, Boulder: Westview Press, 1997.20. Bandura, A., "Self-Efficacy: Toward a Unifying Theory of Behavioral Change," Psychological Review, vol. 84, no. 2, pp. 191-215

Conference Session

Materials Division (MATS) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah A Goodman, Georgia Institute of Technology; Louis Oh, Stevens Institute of Technology (School of Engineering and Science); Elizabeth Zarr Paolella, Stevens Institute of Technology (School of Engineering and Science)

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

Analytics.” Accessed: Oct. 06, 2024. [Online]. Available: https://lit.gse.harvard.edu/makerspace-analytics[2] J. Eckhardt, C. Kaletka, B. Pelka, E. Unterfrauner, C. Voigt, and M. Zirngiebl, “Gender in the making: An empirical approach to understand gender relations in the maker movement,” Int. J. Hum.-Comput. Stud., vol. 145, p. 102548, Jan. 2021, doi: 10.1016/j.ijhcs.2020.102548.[3] A. M. K. Schauer, H. Schaufel, and K. Fu, “The Makeup of a Makerspace: The Impact of Stereotyping, Self-Efficacy, and Physical Design on Women’s Interactions with an Academic Makerspace,” Eng. Stud., vol. 15, no. 2, pp. 122–143, May 2023, doi: 10.1080/19378629.2023.2224016.[4] I. Decker, “Knitting and Crochet Today: Statistics, Trends, and More

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