| Presentation Proposal - NACADA Annual Conference |
| Presentation Info and Handouts |
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Code=615
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Conference Year:
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2024
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Session #:
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(SP)
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Title:
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The Impact of AI-Driven Advising Platform on High-Risk College Student Academic Performance |
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Lead Presenter:
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Ning Xu |
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Date:
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December 31, 1969 Time: 6:00 pm - 6:00 pm |
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Room:
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Abstract:
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The Impact of AI-driven Advising Platform on High-Risk College Student Academic Performance and Advisor Working Efficiency
The impact of AI-driven Academic Advising is not well understood, although it is a right popular topic in global colleges. Using a mixed qualitative and quantitative research, this study investigated the effects of AI-driven Academic Warning and Advising Platform (AI-AWAP) on high-risk student and their advisors. The data were drawn from a world-class university control experiment sample of 8 different departments, including STEM and social science disciplines. Results revealed that when departments participated in AI-AWAP, positive associations were found, such as lower rate of high-risk student, higher GPA, and higher work efficiency of advisor. Additionally, we found AI-AWAP promoted partnership between student affairs-academic affairs by creating seamless learning environments. Implications for advisors and program managers are discussed. |
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Handouts
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Note: Handouts (if offered for this session) are accessible via the conference app. |
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