Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Chen, R. (2012). Institutional characterristics and college student dropout risks: A multilevel event history analysis. Research in Higher education, 53(5), 487-505.
    2. Crossley, S., Paquette, L., Dascalu, M., McNamara, D. S., & Baker, R. S. (2016, April). Combining clickstream data with NLP tools to better understandd MOOC completion. In Proceedings of the sixth international conference on learning analytics & knowledge (pp. 6-14).
    3. Fei, M., & Yeung, D. Y. (2015, November). Temporal models for predicting student dropout in massive open online courses. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 256-263). IEEE.
    4. Leon Urrutia, M., Fielding, S., & White, S. (2016). Professional developent through MOOCs in higher education institutions: Challenges and opportunities for PhD students working as mentors. Journal of Interactive Media in Education, 1, 1-11.
    5. Qiu, J., Tang, J., Liu, T. X., Gong, J., Zhang, C., Zhang, Q., & Xue, Y. (2016, February). Modeling and predicting learning behavior in MOOCs. In Proceedings of the ninth ACM international conference on web search and data mining (pp. 93- 102).
    6. Ulriksen, L., Madsen, L. M., & Holmegaard, H. T. (2015). Why do students in stem higher education programmes dropopt out?–explanations offered from research. In Understanding student participation and choice in science and technology education (pp. 203- 217). Springer, Dordrecht.

Recent Article