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"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
- Award ID(s):
- 1763642
- PAR ID:
- 10514468
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9781450394215
- Page Range / eLocation ID:
- 1 to 17
- Format(s):
- Medium: X
- Location:
- Hamburg Germany
- Sponsoring Org:
- National Science Foundation
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Hoadley, C; Wang, XC (Ed.)In this paper, we present a case study of designing AI-human partnerships in a realworld context of science classrooms. We designed a classroom environment where AI technologies, teachers and peers worked synergistically to support students’ writing in science. In addition to an NLP algorithm to automatically assess students’ essays, we also designed (i) feedback that was easier for students to understand; (ii) participatory structures in the classroom focusing on reflection, peer review and discussion, and (iii) scaffolding by teachers to help students understand the feedback. Our results showed that students improved their written explanations, after receiving feedback and engaging in reflection activities. Our case study illustrates that Augmented Intelligence (USDoE, 2023), in which the strengths of AI complement the strengths of teachers and peers, while also overcoming the limitations of each, can provide multiple forms of support to foster learning and teaching.more » « less
