Learning by Teaching: Key Challenges and Design Implications
October 17, 2023 Β· Declared Dead Β· π Proc. ACM Hum. Comput. Interact.
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Authors
Amy DebbanΓ©, Ken Jen Lee, Jarvis Tse, Edith Law
arXiv ID
2310.11354
Category
cs.HC: Human-Computer Interaction
Citations
8
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
4 months ago
Abstract
Benefits of learning by teaching (LbT) have been highlighted by previous studies from a pedagogical lens, as well as through computer-supported systems. However, the challenges that university students face in technology-mediated LbT$\unicode{x2013}$whether it be teaching oneself, teaching a peer, or teaching an agent$\unicode{x2013}$are not well understood. Furthermore, there is a gap in knowledge on the challenges that students encounter throughout the process of teaching (content selection, preparation, teaching, receiving and giving feedback, and reflection) despite its importance to the design of LbT platforms. Thus, we conducted a study with 24 university students where they taught content they had not fully grasped, without guidance, and participated in a semi-structured interview. Results demonstrate that participants encountered the following challenges: psychological barriers relating to self and others, and lack of know-how. Furthermore, we illuminate design implications required to overcome these challenges and benefit from LbT without requiring prior training in pedagogy.
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