Multiple-choice questions (MCQs) are widely used in higher education because they efficiently assess knowledge and a broad range of cognitive skills across disciplines. This study examines how MCQ-based assessments contribute to predicting final student grades, using data from 2,390 students (comprising 26,698 non-missing attribute values) enrolled in sixteen offerings of three undergraduate and postgraduate economics units at Charles Darwin University (CDU) between 2016 and 2019. Six machine learning classifiers were trained on assessment marks, assessment weightings, final examination performance, and the proportion of MCQs in the examination. Feature importance analysis was then used to q... More >