Study Partners Recommendation for Online Courses

Authors

  • Snehal D. Nanaware  Department of Computer Engineering, Vidya Pratishthan's College of Engineering, Baramati, Maharashtra, India
  • Gyankamal J. Chhajed  Department of Computer Engineering, Vidya Pratishthan's College of Engineering, Baramati, Maharashtra, India

Keywords:

MOOCs, xMOOCs, Behavior model, Topic Model, Recommendation.

Abstract

Massive Open Online Courses (MOOCs) provide free learning opportunity for any learners. The online learning system can provides many courses for learners to learn any specific course as they want. The online learning system can include two types of MOOCs that is cMOOCs and xMOOCs. In cMOOCs the learning will be happen within the limited area. The cMOOCs learners can used digital platforms or social network for learning. The xMOOCs can focuses on teacher-student interaction and limited student-student interaction. The automated testing and quies compitions used to check students understanding. The study partner recommendation system can help learners to solve their problems or any difficulties by discussing with partner which encounter during learning process. The recommendation system based on behaviour of learners and topic similarities between learners.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Snehal D. Nanaware, Gyankamal J. Chhajed, " Study Partners Recommendation for Online Courses, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.911-915, May-June-2017.