- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 25
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
-
Jordan Nickel, University of Waterloo; Gregory Litster, University of Toronto; Christopher Rennick, University of Waterloo; Ada Hurst, University of Waterloo; Carol Hulls P.Eng., University of Waterloo
- Tagged Divisions
-
Educational Research and Methods Division (ERM)
affective domainwas published in 1964 and focused on students’ attitudes, values, and interests, and how thoseare developed through teaching and learning methods [6]. In the engineering contextspecifically, the affective domain frequently focuses on collaboration, confidence, curiosity,persistence, motivation, and professional ethics [7] [8]. Wilson, in their essay in [4, p. 57], refersto affective outcomes as the “great mediators of engagement”, and argues specifically thatstudents’ sense of belonging and feelings of academic fulfillment can lead to improved academicperformance. Improvements to student affect in the classroom can quickly erode whentransitioning to new environments, like the workplace: “the road of affect is continually in needof
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 19
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
-
Hudson James Harris, University of Oklahoma; Javeed Kittur, University of Oklahoma
- Tagged Divisions
-
Educational Research and Methods Division (ERM)
number of articles included Definition Codes N AI Integration in This theme examines the transformative role of AI in AI in course 7 the field of engineering, highlighting how AI tools like intelligent Course content Engineering tutoring systems and language models are incorporated AI teaching into teaching and learning processes, and the impact of AI on curriculum design and pedagogical approaches. Ethical and This theme explores the ethical challenges and Ethics 7 Academic academic integrity issues arising from the use of AI in Academic