The impact of adaptive learning on student educational outcomes: A meta-analysis

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Short Description

The purpose of this present meta-analysis is to examine the effects of adaptive learning on student educational outcomes. We compare interventions using adaptive learning with control conditions without adaptive learning, and examine the moderating effects of a host of contextual and demographic variables. This research sheds light on the growing use of artificial intelligence applications in educational settings. We will provide the overall effect size using a random-effects model while addressing issues like publication bias.

Authors

• Presenter: Xiaoman Wang, University of Florida

• Presenter: Rui (Tammy) Huang, College of Education, University of Florida

• Presenter: Max Sommer, University of Florida

• Presenter: Poorya Shidfar, University of Florida

• Presenter: Muhammad Shahroze Rehman, University of Florida

• Presenter: Florence Martin, University of North Carolina Charlotte

• Presenter: Albert Dieter Ritzhaupt, University of Florida