Development of CBCS Evaluation Model by using Machine Learning Technique
DOI:
https://doi.org/10.26438/ijcse/v12i4.3238Keywords:
CBCS, SGPA, CGPA, and MLT.Abstract
The CBCS (Choice Based Credit System) is a grading system that provides an opportunity for the students to select courses from the prescribed courses. It provides flexibility in designing curriculum. It assigns credits based on the course content and hours of teaching. The prescribed courses can be core, elective/minor or skill-based courses. The students earn credits based on their performance. The CBCS Evaluation Model is a model for the design, development and evaluation of student-centered instructional paradigm by using Machine Learning Technique. It provides a cross-cultural learning environment for the development of quality education. It upgrades educational and occupational aspiration of the upcoming generation of the higher education.
References
[1] A. K. Chaubey, “Choice Based Credit System (CBCS): A Better Choice in Education System”, International Journal of Creative Research Thoughts, ISSN. 2320-2882, Vol.3, Issue.6, pp.1-13, 2015.
[2] P. Karthikeyan, “Choice Based Credit System of Evaluation in Higher Education”, Shanlax International Journal of Arts, Science & Humanities, ISSN. 2321 – 788X, Vol.2, Issue.4, pp.79-85, 2015.
[3] S. Chakraborty and B. Mahanayak, “Introduction of choice based credit system in higher education in India: issues and concern”, International Journal for Research in Education (IJRE), ISSN. 2347-5412, Vol.10, Issue.5, pp.1-7, 2021.
[4] Samar Das, “Choice Based Credit System: Implications & its Challenges”, International Journal of Research in Humanities & Soc. Sciences, ISSN. 2347-5404, Vol.9, Issue.6, pp. 16-22, 2021
[5] Shanu Biswas, “Choices Based Credit System (CBCS) — an analytical study”, International Journal of Research and Analytical Reviews, ISSN. 2349-5138, Vol.5, Issue.3, pp.1362x-1368x, 2018.
[6] Shikha Kapur, “Choice Based Credit System (CBCS) and Higher Education in India”, Jamia Journal of Education, ISSN. 2348-3490, Vol.3, Issue.2, pp.100-110, 2017.
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