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AI and Transfer Student Success: Learning From the Field
Thu, April 24, 1:45 to 3:15pm MDT (1:45 to 3:15pm MDT), The Colorado Convention Center, Floor: Terrace Level, Bluebird Ballroom Room 3CSession Type: Symposium
Abstract
"AI and Transfer Student Success: Learning from the Field" examines the use of artificial intelligence (AI) to enhance transfer student pathways. The session covers AI solutions for articulation agreements and cross-campus plan generation at the State University of New York (SUNY) and common course numbering for California Community Colleges (CCC). Presenters will discuss AI's role in supporting administrators and faculty in decision-making and how these methods can aid under-resourced institutions. Researchers from the [anonymized] Research Lab at [anonymized] university will present their findings, followed by a panel discussion to engage attendees. The session aims to highlight AI's potential in creating equitable pathways for transfer students, promoting academic success, and reducing structural barriers.
Sub Unit
Chair
Papers
AI and Transfer Student Success: Learning from the Field - Zachary A. Pardos, University of California - Berkeley
Leveraging AI for a Common Course Numbering System in California Community Colleges - Yerin Kwak, University of California - Berkeley; Siddharth Jayprakash Adelkar, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley
The Impact of Institutional Resources on Articulation Agreements in Higher Education - Sarah Goulart, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley
Exploring the human factors affecting AI acceptance in decision-making processes among administrators and faculty. - Shreya Kailey Sheel, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley
Evaluating the efficiency of AI-generated transfer plans - Ritik Sinha, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley