Generative AI for adaptive tutoring and college student success
Description: In this talk, I'll describe results from a series of empirical studies evaluating the ability of current LLMs to generate questions with similar psychometric properties to textbook questions, generate hints with similar learning gains to human-authored hints, and conduct curricular...
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| Format: | Conference Paper |
| Language: | English |
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2024
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| Online Access: | https://hdl.handle.net/10356/181113 https://www.ntu.edu.sg/mae/ai-education-singapore-2024/activities/keynote-invited-talk#Content_C021_Col00 |
| _version_ | 1826125202588696576 |
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| author | Pardos, Zachary A. |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Pardos, Zachary A. |
| author_sort | Pardos, Zachary A. |
| collection | NTU |
| description | Description: In this talk, I'll describe results from a series of empirical studies evaluating the ability of current LLMs to generate questions with similar psychometric properties to textbook questions, generate hints with similar learning gains to human-authored hints, and conduct curricular alignment of GenAI educational resources to existing taxonomies and syllabi. These publications, out of the Computational Approaches to Human Learning research lab at the UC Berkeley School of Education move the field closer to automatically generated, mastery-based, Intelligent Tutoring Systems and build upon an existing open source and creative commons project, called Open Adaptive Tutor (OATutor). I will also discuss how the same LLM technology is finding equivalencies in college curricula, allowing for new frontiers in credit mobility to be paved across large public systems of higher education. |
| first_indexed | 2025-03-09T13:58:24Z |
| format | Conference Paper |
| id | ntu-10356/181113 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T13:58:24Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1811132024-11-14T08:52:13Z Generative AI for adaptive tutoring and college student success Pardos, Zachary A. School of Mechanical and Aerospace Engineering AI for Education Singapore 2024 NVIDIA Computer and Information Science Artificial intelligence Education Description: In this talk, I'll describe results from a series of empirical studies evaluating the ability of current LLMs to generate questions with similar psychometric properties to textbook questions, generate hints with similar learning gains to human-authored hints, and conduct curricular alignment of GenAI educational resources to existing taxonomies and syllabi. These publications, out of the Computational Approaches to Human Learning research lab at the UC Berkeley School of Education move the field closer to automatically generated, mastery-based, Intelligent Tutoring Systems and build upon an existing open source and creative commons project, called Open Adaptive Tutor (OATutor). I will also discuss how the same LLM technology is finding equivalencies in college curricula, allowing for new frontiers in credit mobility to be paved across large public systems of higher education. 2024-11-14T08:51:02Z 2024-11-14T08:51:02Z 2024 Conference Paper Pardos, Z. A. (2024). Generative AI for adaptive tutoring and college student success. AI for Education Singapore 2024. Nanyang Technological University. https://hdl.handle.net/10356/181113 https://www.ntu.edu.sg/mae/ai-education-singapore-2024/activities/keynote-invited-talk#Content_C021_Col00 en © 2024 The Author. Published by Nanyang Technological University. All rights reserved. |
| spellingShingle | Computer and Information Science Artificial intelligence Education Pardos, Zachary A. Generative AI for adaptive tutoring and college student success |
| title | Generative AI for adaptive tutoring and college student success |
| title_full | Generative AI for adaptive tutoring and college student success |
| title_fullStr | Generative AI for adaptive tutoring and college student success |
| title_full_unstemmed | Generative AI for adaptive tutoring and college student success |
| title_short | Generative AI for adaptive tutoring and college student success |
| title_sort | generative ai for adaptive tutoring and college student success |
| topic | Computer and Information Science Artificial intelligence Education |
| url | https://hdl.handle.net/10356/181113 https://www.ntu.edu.sg/mae/ai-education-singapore-2024/activities/keynote-invited-talk#Content_C021_Col00 |
| work_keys_str_mv | AT pardoszacharya generativeaiforadaptivetutoringandcollegestudentsuccess |