Displaying all 2 results
- Conference Session
- Software Engineering Division (SWED) Technical Session 1
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Lisa Milkowki, Seattle University
- Tagged Topics
- Diversity
- Tagged Divisions
- Software Engineering Division (SWED)
andfree online learning resources and textbooks.To reward motivation, risk-taking, and persistence, a claw-back incentive was established. Theclaw-back incentive provides an exception to the final exam, which is granted and explained onthe syllabus on the first day of class. The incentive for performing well on the roboticprogramming project will be revoked or 'clawed back' when the performance metrics are not met.Research by economist John A. List found it to be effective in motivating individuals [12], [13].To enhance inclusion, the first day of class was dedicated to establishing a sense of belongingand a learner-centered growth mindset. Students were informed of the risks associated withoffering the course and the opportunity it provided for
- Conference Session
- Software Engineering Division (SWED) Technical Session #2
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Ben Arie Tanay, Purdue Engineering Education; Lexy Chiwete Arinze, Purdue University, West Lafayette; Siddhant Sanjay Joshi, Purdue University, West Lafayette; Kirsten A. Davis, Purdue University, West Lafayette; James C Davis, Purdue University, West Lafayette
- Tagged Topics
- Diversity
- Tagged Divisions
- Software Engineering Division (SWED)
demonstratehow ChatGPT could serve as a valuable guide for students [29]. Davis et al. performed a similarstudy with questions suited for introductory programming courses in C [30]. Other researchershave explored students’ use of LLMs and their varied perceptions. Liu et al. integrated AI toolsin an introductory course (Harvard CS50) to aid teaching and learning [31]. A user study byVaithilingam et al. explored how students and programmers utilize and perceive Co-pilot [32].Considering that students use Copilot to learn code, Puryear and Sprint investigated its impact onstudents’ code learning process within introductory computer science and data science courses[11]. In another online introductory programming course, Hellas et al. assessed the