AI Tutors vs. Humans: The Shocking Data on ITS Effectiveness
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AI Tutors vs. Humans: The Shocking Data on ITS Effectiveness
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This episode primarily consists of academic articles focusing on the effectiveness and design of Intelligent Tutoring Systems (ITSs) in educational contexts. One set of articles examines ITSs in medical education, specifically investigating the relationships among students' self-regulated learning (SRL) behaviours, medical reasoning, and emotional variability during the diagnosis of virtual patient cases of varying complexity. Another set of sources presents meta-analyses that evaluate the overall effectiveness of ITSs, noting that their positive effect sizes, particularly in areas such as K-12 reading comprehension and college-level mathematics, often depend heavily on the type of assessment used (local vs. standardized tests) and the control-group design. Finally, one paper applies psychological network analysis to ITS data to better understand the interdependencies between specific subtopics in mathematics, notably how fraction subtopic performance predicts later algebra performance, suggesting that shared mathematical components drive stronger correlations.