Improving the portability of predicting students’ performance models by using ontologies-Reference-Cited by-同舟云学术

Improving the portability of predicting students’ performance models by using ontologies

Published:2021-03-24 Issue: Volume: Page:
ISSN:1042-1726
Container-title:Journal of Computing in Higher Education
language:en
Short-container-title:J Comput High Educ

Author:

López-Zambrano Javier,Lara Juan A.,Romero Cristóbal^ORCID

Funder

Fundación Española para la Ciencia y la Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Education

Link

https://link.springer.com/content/pdf/10.1007/s12528-021-09273-3.pdf

Reference30 articles.

1. Al-Yahya, M., George, R., & Alfaries, A. (2015). Ontologies in E-learning: Review of the literature. International Journal of Software Engineering and Its Applications, 9(2), 67–84.

2. Baker, R. S. (2019). Challenges for the future of educational data mining: The baker learning analytics prizes. Journal of Educational Data Mining, 11, 1–17.

3. Boyer, S., & Veeramachaneni, K. (2015). Transfer learning for predictive models in massive open online courses. In C. Conati, N. Heernan, A. Mitrovic, & M. Verdejo (Eds.), Artificial intelligence in education. AIED 2015. Lecture notes in computer science. (Vol. 9112). Springer.

4. Castro, F. A., & Alonso, M. A. (2011). Learning objects and ontologies to perform educational data mining. In International conference on frontiers in education: Computer science and computer engineering.

5. Cerezo, R., Sánchez-Santillán, M., Paule-Ruiz, M. P., & Núñez, J. C. (2016). Students’ LMS interaction patterns and their relationship with achievement: A case study in higher education. Computers & Education, 96, 42–54.

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