Machine-learning tools reveal impact of supervisor-student relationship on student creativity

Creative minds contribute to innovation and exploration, two of the great engines of a flourishing society. Enhancing student creativity is often considered a priority of higher education as this can later contribute to economic and social development. In a recent paper, researchers from East China Normal University combined machine-learning methods with questionnaires to reveal new dimensions in the connections between supervisor-student relationships and student creative expression.