Multimodal large language models for inclusive collaboration learning tasks
Open accessAbstract
This PhD project leverages advancements in multimodal large language models to build an inclusive collaboration feedback loop, in order to facilitate the automated detection, modeling, and feedback for participants developing general collaboration skills.This topic is important given the role of collaboration as an essential 21st century skill, the potential to ground large language models within learning theory and real-world practice, and the expressive potential of transformer models to support equity and inclusion.We address some concerns of integrating advances in natural language processing into downstream tasks such as the learning analytics feedback loop.
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chatAPIs can be used to facilitate collaboration among students, for instance by creating student groups.
“Another advantage of chatAPIs is that they can be used to facilitate collaboration among students.For instance, chatAPIs can be used to create student groups, allowing students to work together on projects and assignments (Lewis, 2022).”
From Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2024) · cites this paper as Lewis, 2022
Section 4.3 (page unavailable) proposes an intelligent agent that gives students feedback during collaborative work, supporting the general idea of technology-assisted collaboration. It does not describe chatAPIs creating student groups; the groups in its proposed experiment are randomly assigned. (LLM, conf=0.85)
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- Authors
- Lewis, A.
- Affiliations
- New York University (US)
- Corresponding author
- Lewis, Armanda
- ORCID
- Lewis, Armanda
- Venue
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
- Published
- 2022
- Pages
- 202-210
- OpenAlex
- W4287889570
- Cited by
- 30
- References
- 53
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 15 · 2023: 6
- FWCI
- 8.81
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop (NAACL SRW) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- multimodal large language models, inclusive learning, collaboration skills, automated feedback, learning analytics, educational equity, transformer models, learning theory
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