Identification of Students with Similar Performances in Micro-Learning Programming Courses with Automatically Evaluated Student Assignments

The identification of heterogeneous and homogeneous groups of students using clustering analysis in learning analytics is still rare. The paper describes a study in which the students’ performance data stored in the micro-learning platform Priscilla are analyzed using learning analytics methods. Thi...

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