Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2022

Abstract

Implementing adaptive learning is often a challenging task at higher learning institutions where the students come from diverse backgrounds and disciplines. In this work, we collected informal learning journals from learners. Using the journals, we trained two machine learning models, an automated topic alignment and a doubt detection model to identify areas of adjustment required for teaching and students who require additional attention. The models form the baseline for a quiz recommender tool to dynamically generate personalized quizzes for each learner as practices to reinforce learning. Our pilot deployment of our AI-enabled Adaptive Learning System showed that our approach delivers promising results for learner-centered teaching and personalized learning.

Keywords

Adaptive, Personalized Learning, Learning Analytics, AI in Education

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Pacific Asia Conference on Information Systems PACIS 2022: Virtual, July 5-9: Proceedings

First Page

1

Last Page

16

Publisher

AIS

City or Country

Virtual

Additional URL

https://aisel.aisnet.org/pacis2022/110/

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