<ul data-eligibleForWebStory="false"><li>This paper presents a study on detecting student disengagement in non-mandatory quizzes in distance education.</li><li>The study involved analyzing data from 42 courses over four semesters from a distance-based university using machine learning algorithms.</li><li>An explainable machine learning framework was developed to aid in understanding algorithm decisions, achieving a balanced accuracy of 91% in detecting disengaged students.</li><li>The research also discusses strategies for timely intervention to reduce disengagement in online learning tasks.</li></ul>

Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education

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