Data for Meta-Analysis of Personalized Adaptive Learning in Undergraduate Mathematics

Authors, or, Principal Investigator(s)

• Debbie Hahs-Vaughn, University of Central FloridaFollow
• Patsy Moskal, University of Central FloridaFollow
• Katiuscia Teixeira, Oklahoma State UniversityFollow
• Tammy Muhs, University of Central FloridaFollow
• Oluwaseun Farotimi, University of Tennessee, KnoxvilleFollow
• Christina Carassas, Industrial/Organizational SolutionsFollow
• Corinne Bishop, University of Central FloridaFollow

Keywords

meta-analysis, personalized adaptive learning

Data Source

The data is from 31 studies and 82 outcomes meta-analyzed in this project.

Release Date

2026

Document Type

Data

Granting Agency

National Science Foundation

Award Number

2236074

Language

English

Rights

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Recommended Citation

Hahs-Vaughn, Debbie; Moskal, Patsy; Teixeira, Katiuscia; Muhs, Tammy; Farotimi, Oluwaseun; Carassas, Christina; and Bishop, Corinne, "Data for Meta-Analysis of Personalized Adaptive Learning in Undergraduate Mathematics" (2026). Research Data and Datasets. 31.
https://stars.library.ucf.edu/datasets/31