Abstract:
We discuss the topic analysis of syllabi of Faculties of Engineering in Japanese national universities. To extract the important information (the course content, methods,...Show MoreMetadata
Abstract:
We discuss the topic analysis of syllabi of Faculties of Engineering in Japanese national universities. To extract the important information (the course content, methods, etc.) from the syllabus document, we used the latent Dirichlet allocation (LDA). This work-in-progress paper describes that the topics of the syllabi of Faculties of Engineering from an analysis of actual data.
Published in: 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
Date of Conference: 04-07 December 2018
Date Added to IEEE Xplore: 17 January 2019
ISBN Information: