Joint Topic Model with Selected Side Information for Inter-University Syllabus Analysis Focusing on the Variety of Instructional Approaches

Author:

Shiga Kentaro,Morimoto Naoyuki

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Abraham, Y.S.: Importance of active learning in an undergraduate course in construction scheduling. In: Proceedings of ASEE (2020)

2. Apaza, R.G., Cervantes, E.V., Quispe, L.C., Luna, J.O.: Online courses recommendation based on LDA. In: Proceedings of the 1st Symposium on Information Management and Big Data (SIMBig 2014), vol. 1318, pp. 42–48 (2014)

3. Arun, R., Suresh, V., Madhavan, C.E.V., Murty, M.N.: On finding the natural number of topics with latent dirichlet allocation: some observations. In: Proceedings of PAKDD, pp. 391–402 (2010)

4. Bakhshinategh, B., Spanakis, G., Zaïane, O.R., ElAtia, S.: A course recommender system based on graduating attributes. In: Proceedings of CSEDU, pp. 347–354 (2017)

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

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