Using self determination theory principles to promote engineering students’ intrinsic motivation to learn
By Kyle F. Trenshaw, Renata A. Revelo, Katherine Earl, Geoffrey L. Herman. 2016
127 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/baea25251ea66b96d1e1245e927f39adac4f31d9
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- L. Gelles
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- Joel Alejandro Mejia
- Diana A. Chen
Citations in the corpus
- Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic (2021, background): “…teachers will consider student perspectives, allow for choices around learning, give a rationale when choice is constrained, avoid the use of controlling language, and reduce unnecessary stress and demands on students (Alamri et al., 2020; Lee et al., 2015; Trenshaw et al., 2016; Xie et al., 2006).”
- The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney (2023, unknown): “This is aligned with most of SDT-based students on digital education (Chiu, 2021, 2022; Hartnett, 2015; Trenshaw et al., 2016).”
- Compassionate Flexibility and Self-Discipline: Student Adaptation to Emergency Remote Teaching in an Integrated Engineering Energy Course during COVID-19 (2020, background): “One way for faculty to motivate engineering students is by fostering relatedness through assigning team projects or homework assignments [70].”