Authors : Swati Sharad Sapkale; Dr. Gajendra Ramdas Wani

Volume/Issue : Volume 10 - 2025, Issue 6 - June

Google Scholar : https://tinyurl.com/36a56kv9

DOI : https://doi.org/10.38124/ijisrt/25jun1535

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Abstract : This research paper analyzes the e-Learning education system in Maharashtra region using deep learning framework techniques, with a focus on Indian government collaborations for e-Learning education system with other countries. The study collects and preprocesses data from online open-source collaboration platforms, secondary data sources, and government initiatives such as the National Program on Technology Enhanced Learning (NPTEL) and the Study Webs of Active-Learning for Young Aspiring Minds (SWAYAM). The analysis aims to evaluate the effectiveness of government initiatives in promoting e-Learning in Maharashtra region, including collaborations with international organizations and countries such as the United States, United Kingdom, and Australia. The findings of this study will provide insights into the current state of e-Learning in Maharashtra and identify areas for improvement, as well as inform policy decisions for future collaborations and initiatives.

References :

1. R. Aust & R. Isaacson, Designing and evaluating user interfaces for eLearning. In Richards, G. (Ed.), AACE World Conference on e-Learning in Corporate, Government, Healthcare, and Higher Education, Chesapeake, VA, 2005, 1195-1202.
2. R. Aust & E.L Meyen, The design and development of a scaleable e-Learning authoring system. Proceedings of the IASTED 2005 Web-Based Education Conference, Grindelwald, Switzerland, 2005, 225-229.
3. R. Aust, B.W. Newberry & J.OBrien, Learning generation: fostering innovation with tomorrow's teachers and technology. Journal of Technology and Teacher Education. 13(2), 2005, 167-195.
4. A. G. Quesada & R. Aust, Cyberl@b: Technology enriched English language learning in Costa Rica. Proceedings of the IASTED Ninth International CATE Conference, Lima Peru, 2006.
5. T. L. Friedman, The world is flat: A brief history of the twenty-first century (New York: Farrar, Straus and Giroux, 2005).
6. L.A. Wilson & L. Vlăsceanu, Transnational education and recognition of rualifications. In UNESCO-CEPES, 2000, Internationalization of higher education, Bucharest, 2000, 75-85.
7. A. Portes, Immigration theory for a new century: Some problems and opportunities, International Migration Review, 31(3), 1997, 799–825.
8. L. Pries, Determining the causes and durability of transnational labour migration between mexico and the united status: Some empirical findings. International Migration, 42(2), 2004, 1-57.
9. J. Piaget, The psychology of intelligence. (New York: Routledge, 1950).
10. S. Papert, The children's machine : Rethinking school in the age of the computer. (New York: Basic Books, 1994).
11. J. S. Bruner, The act of discovery. Harvard Educational Review 31(1), 1961, 21–32.
12. L. S. Vygotsky, Mind in society: The development of higher psychological processes. (Cambridge, MA: Harvard University Press, 1978).
13. S. R. Hiltz, The virtual classroom: Using computer mediated communication for university teaching. Journal of Communication, 36(2), 1986, 95-104.
14. [14] R. J. Stahl, The essential elements of cooperative learning in the classroom. In: Clearinghouse for Social Studies Social Science Education, (Bloomington IA, 1994.
15. T. M. Duffy & D. J. Cunningham, Constructivism: Implications for the design and delivery of instruction. In: Jonassen, D. J. (Ed.), Handbook of Research for Educational Communications and Technology, (New York: Macmillan Library, 1996, 170-198).
16. J. Salmons, Taxonomy collaborative e-Learning http://www.vision2lead.com/Taxonomy.pdf, (2006).
17. NASBE: Any time, any place, any path, any pace: Taking the lead on e-Learning policy. National Association of State Boards of Education (NASBE).http://www.nasbe.org/e_Learning.html, (2001).
18. R. Mason, Globalizing education: Trends and applications (London: Routledge, 1998).
19. R. LaRose, P. Whitten, Rethinking instructional immediacy for web courses: A social cognitive exploration. Communication Education, 49(4), 2000, 320- 338
20. "Deep Learning for Personalized Learning: A Survey" by S. Kumar et al. (2020) - This survey paper discusses the applications of deep learning in personalized learning.
21. "A Deep Learning-Based Approach for Predicting Student Performance" by A. Singh et al. (2019) - This paper proposes a deep learning-based approach for predicting student performance.
22. "Deep Learning for Skill Development: A Case Study" by R. Sharma et al. (2020) - This case study explores the application of deep learning in skill development.
23. "A Deep Learning-Based Recommender System for e-Learning" by S. Jain et      al. (2020) - This paper proposes a deep learning-based recommender system for e-Learning.
24. "Deep Learning for Educational Data Mining: A Survey" by A. Gupta et al. (2020) - This survey paper discusses the applications of deep learning in educational data mining.