An AI-based intervention for improving undergraduate STEM learning.
rct · Level II
Where this comes from
- Record sourced from PubMed, PMID 37467236.
- Also identified by DOI 10.1371/journal.pone.0288844 and PMC identifier 10355461.
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Abstract
We present results from a small-scale randomized controlled trial that evaluates the impact of just-in-time interventions on the academic outcomes of N = 65 undergraduate students in a STEM course. Intervention messaging content was based on machine learning forecasting models of data collected from 537 students in the same course over the preceding 3 years. Trial results show that the intervention produced a statistically significant increase in the proportion of students that achieved a passing grade. The outcomes point to the potential and promise of just-in-time interventions for STEM learning and the need for larger fully-powered randomized controlled trials.
Medical subject headings
- Students
- Artificial Intelligence