Measuring college students’ multidisciplinary learning: a novel application of natural language processing

• Published in: Higher education Vol. 87; no. 4; pp. 859 - 879
• Main Authors: Fu, Yuan Chih, Chen, Jin Hua, Cheng, Kai Chieh, Yuan, Xuan Fen
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.04.2024; Springer; Springer Nature B.V
• Subjects: Academic achievement; Archives & records; Classification; College students; Computer engineering; Computer science; Course Descriptions; Data processing; Education; Educational research; Electrical engineering; Engineering; Entropy; Higher Education; Influence; Interdisciplinary approach in education; Interdisciplinary aspects; Learning; Natural language processing; Taiwan; Natural language processing; Institutional research; Learning outcomes; Multidisciplinary learning; Academic distance

Using data from approximately 342,000 course-taking records collected from 4406 college students enrolled at Taipei Tech during the 2009–2012 academic years, we examine the impact of multidisciplinarity on students’ academic performance. Our study contributes to the literature in three ways. First,...