Surveying Teachers’ Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning
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GenAI can ease the burden of developing high-quality materials by creating diverse and engaging content.
“GenAI promises to ease this burden by creating diverse and engaging content, fostering curriculum innovation and enhancing learning experiences.”
From Promises and challenges of generative artificial intelligence for human learning (2024) · cites this paper as [23]
Cites
Holstein, K., McLaren, B. M., & Aleven, V. (2019) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-23204-7_14 · Cited by 189 · see citing works
Self-citationA Conceptual Framework for Human–AI Hybrid Adaptivity in Education
Holstein, K., Aleven, V., & Rummel, N. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-52237-7_20 · Cited by 168 · see citing works
Self-citation
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Promises and challenges of generative artificial intelligence for human learning
Yan, L., Greiff, S., Teuber, Z., & Gašević, D. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02004-5 · Cited by 499 · see citing works
“It aims to develop learners’ intellectual, social and emotional capacities, preparing them for personal and professional success.”
- Authors
- Yang, K. B., Lawrence, L., Echeverria, V., Guo, B., Rummel, N., & Aleven, V.
- Affiliations
- Carnegie Mellon University (US)
- Ruhr University Bochum (DE)
- Corresponding author
- Yang, Kexin Bella
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 260-274
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3196546806
- Cited by
- 19
- References
- 2
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 3 · 2023: 4 · 2022: 3
- FWCI
- 1.16
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Digital Commons - USU (Utah State University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- cooperative learning, teacher preferences, K-12 education, storyboards, teacher workload
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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