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Development of CBCS Evaluation Model by using Machine Learning Technique

Santosh Kumar Miri1

  1. Department of Computer Science, St. Thomas College, Bhilai, Chhattisgarh, India.

Section:Research Paper, Product Type: Journal Paper
Volume-12 , Issue-4 , Page no. 32-38, Apr-2024

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v12i4.3238

Online published on Apr 30, 2024

Copyright © Santosh Kumar Miri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Santosh Kumar Miri, “Development of CBCS Evaluation Model by using Machine Learning Technique,” International Journal of Computer Sciences and Engineering, Vol.12, Issue.4, pp.32-38, 2024.

MLA Style Citation: Santosh Kumar Miri "Development of CBCS Evaluation Model by using Machine Learning Technique." International Journal of Computer Sciences and Engineering 12.4 (2024): 32-38.

APA Style Citation: Santosh Kumar Miri, (2024). Development of CBCS Evaluation Model by using Machine Learning Technique. International Journal of Computer Sciences and Engineering, 12(4), 32-38.

BibTex Style Citation:
@article{Miri_2024,
author = {Santosh Kumar Miri},
title = {Development of CBCS Evaluation Model by using Machine Learning Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2024},
volume = {12},
Issue = {4},
month = {4},
year = {2024},
issn = {2347-2693},
pages = {32-38},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5676},
doi = {https://doi.org/10.26438/ijcse/v12i4.3238}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v12i4.3238}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5676
TI - Development of CBCS Evaluation Model by using Machine Learning Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Santosh Kumar Miri
PY - 2024
DA - 2024/04/30
PB - IJCSE, Indore, INDIA
SP - 32-38
IS - 4
VL - 12
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

CBCS, SGPA, CGPA, and MLT.

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.