More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
September 25, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Mei Tan, Hariharan Subramonyam
arXiv ID
2309.14458
Category
cs.HC: Human-Computer Interaction
Citations
34
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
ChatGPT has entered classrooms, but not via the typical route of other educational technology, which includes comprehensive training, documentation, and vetting. Consequently, teachers are urgently tasked to assess its capabilities to determine potential effects on student learning and instruct their use of ChatGPT. However, it is unclear what support teachers have and need and whether existing documentation, such as model cards, provides adequate direction for educators in this new paradigm. By interviewing 22 middle- and high-school teachers, we connect the discourse on AI transparency and documentation with educational technology integration, highlighting the critical information needs of teachers. Our findings reveal that teachers confront significant information gaps, lacking clarity on exploring ChatGPT's capabilities for bespoke learning tasks and ensuring its fit with the needs of diverse learners. As a solution, we propose a framework for interactive model documentation that empowers teachers to navigate the interplay between pedagogical and technical knowledge.
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