Immediate Gains, Lasting Impact: Deploying AI-Powered Personalization to Transform Student Experience in Higher Ed

The current era presents an exciting opportunity for higher education. Numerous promising use cases have emerged over the past two years that can specifically enhance instructional methods and lesson plan delivery by using AI. This development coincides with alarming declines in student retention, achievement of learning outcomes, and graduation rates, particularly in the post-COVID context. While AI continues to change rapidly, the conventional pedagogy and instructional methods continue to lag, specifically with respect to AI adoption for student engagement. We propose that through the quick adoption and integration of AI tools and the emphasis on personalization suggested by the VARK learning model, educators can immediately improve student learning outcomes. We demonstrate this by showing a few quick use cases for this technology as well as how it can leverage the VARK model to yield immediate results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-05
DOI
https://doi.org/10.5281/zenodo.23171608
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
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article

Immediate Gains, Lasting Impact: Deploying AI-Powered Personalization to Transform Student Experience in Higher Ed

John Jagtiani, Maxwell Splain
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

Immediate Gains, Lasting Impact: Deploying AI-Powered Personalization to Transform Student Experience in Higher Ed

John Jagtiani, Maxwell Splain
article en

Abstract

The current era presents an exciting opportunity for higher education. Numerous promising use cases have emerged over the past two years that can specifically enhance instructional methods and lesson plan delivery by using AI. This development coincides with alarming declines in student retention, achievement of learning outcomes, and graduation rates, particularly in the post-COVID context. While AI continues to change rapidly, the conventional pedagogy and instructional methods continue to lag, specifically with respect to AI adoption for student engagement. We propose that through the quick adoption and integration of AI tools and the emphasis on personalization suggested by the VARK learning model, educators can immediately improve student learning outcomes. We demonstrate this by showing a few quick use cases for this technology as well as how it can leverage the VARK model to yield immediate results.

Zenodo (CERN European Organization for Nuclear Research)
Northwestern Connecticut Community College (US)
Openalex Percentile: Top 5%
Artificial Intelligence in Education
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