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Published on: December 9, 2022
The utility of adaptive eLearning data in predicting dental students' learning performance in a blended learning
Farhan H Alwadei1, Blasé P Brown2, Saleh H Alwadei1
1Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia.
Dental students' adaptive learning platform (ALP) usage patterns, like activity improvement and timely objectives, influenced exam scores. However, cumulative GPA and pre-test scores were the strongest predictors of final exam performance.
Area of Science:
- Medical Education
- Educational Technology
- Dental School Performance
Background:
- Adaptive learning platforms (ALPs) are increasingly used in dental education.
- Understanding student usage patterns within ALPs is crucial for optimizing learning outcomes.
- The impact of specific ALP engagement metrics on academic performance requires further investigation.
Purpose of the Study:
- To analyze the relationship between dental students' usage patterns in an adaptive learning platform (ALP) and their final examination performance.
- To identify specific ALP-related indicators that predict learning outcomes.
- To determine the relative contribution of ALP usage versus traditional academic metrics in explaining student success.
Main Methods:
- Retrospective collection of usage data from an ALP and academic records (GPA, pre- and post-test scores) from 115 second-year dental students.
- Analysis using correlation coefficients and linear regression to assess the impact of ALP variables and demographic/academic data on post-test scores.
- Comparison of predictive power between ALP-specific metrics and established academic indicators.
Main Results:
- Initially, ALP variables like activity improvement, timely completed objectives, and revisions positively predicted post-test scores (R²=0.296).
- However, the number of total activities negatively correlated with performance.
- The addition of gender, GPA, and pre-test scores significantly increased the explained variance (R²=0.689), with cumulative GPA and pre-test scores emerging as the strongest predictors.
Conclusions:
- Adaptive learning platform (ALP) usage data offers insights into student learning behaviors.
- While ALP engagement is relevant, traditional academic metrics like cumulative GPA and pre-test scores are more powerful predictors of dental student success.
- Contextual analysis of ALP data is recommended for future intervention studies.
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