Bidirectional Feedback-Based Personalization of Learning using Multi-tier AI: A Real-World Assessment of its Efficacy in Classrooms

Jill Watson is an example of an intelligent conversational AI Teaching Assistant that has been deployed across 24 class sections in different institutions, with 1102 unique student participants and over 17000 questions from Fall 2023 to present. Jill Watson’s RAG-based architecture built around OpenAI ChatGPT and user study results addresses some of the concerns related to domain knowledge, deployment, and data collection in online classrooms. In this work, a 3-tiered framework for personalization in online education using AI tools to enable a human-AI personalization loop, grounded in real-world human feedback is proposed.

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Publication Details

Journal
Proceedings of the AAAI Symposium Series
Published
2025-05-28
DOI
https://doi.org/10.1609/aaaiss.v5i1.35553
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Bidirectional Feedback-Based Personalization of Learning using Multi-tier AI: A Real-World Assessment of its Efficacy in Classrooms

Ashok K. Goel, Junsoo Park, Jayson Brown, Cherie Lum et al.
Proceedings of the AAAI Symposium Series
Online Learning and Analytics
article

Bidirectional Feedback-Based Personalization of Learning using Multi-tier AI: A Real-World Assessment of its Efficacy in Classrooms

Ashok K. Goel, Junsoo Park, Jayson Brown, Cherie Lum, Saurajyoti Basu
article en

Abstract

Jill Watson is an example of an intelligent conversational AI Teaching Assistant that has been deployed across 24 class sections in different institutions, with 1102 unique student participants and over 17000 questions from Fall 2023 to present. Jill Watson’s RAG-based architecture built around OpenAI ChatGPT and user study results addresses some of the concerns related to domain knowledge, deployment, and data collection in online classrooms. In this work, a 3-tiered framework for personalization in online education using AI tools to enable a human-AI personalization loop, grounded in real-world human feedback is proposed.

Proceedings of the AAAI Symposium SeriesVol. 5(1)
Georgia Institute of Technology (US)
Institute for Adult Learning
Openalex Percentile: Top 89%
Online Learning and Analytics
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