Predicting Students’ Final Exam Scores from their Course Activities
This paper investigates whether data from peer-based online homework activities in university programming courses (University of Trento, Italy) can predict students' final exam scores. The authors build a linear regression model using features such as students' homework votes, number of tasks completed, and question difficulty level, and evaluate whether the model outperforms random-guess baselines when predicting both continuous exam scores and letter grades (A–F).
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Predicting Students’ Final Exam Scores from their Course Activities
Learn After
Introduction (Predicting Students’ Final Exam Scores from their Course Activities)
Related Work (Predicting Students’ Final Exam Scores from their Course Activities)
Building the prediction model (Predicting Students’ Final Exam Scores from their Course Activities)
Experiments and the Results (Predicting Students’ Final Exam Scores from their Course Activities)