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Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences
2022
Frontiers in Artificial Intelligence
Educational data mining research has demonstrated that the large volume of learning data collected by modern e-learning systems could be used to recognize student behavior patterns and group students into cohorts with similar behavior. However, few attempts have been done to connect and compare behavioral patterns with known dimensions of individual differences. To what extent learner behavior is defined by known individual differences? Which of them could be a better predictor of learner
doi:10.3389/frai.2022.807320
pmid:35243337
pmcid:PMC8886211
fatcat:ubdbwhjba5asncadwlj4q5else