Empirical Study of Data-Driven Learning and Generative AI in Enhancing Meta-Cognitive Resource Utilization: A Comprehensive Analysis

Authors

  • Rajiv Verma Research Scholar, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India https://orcid.org/0009-0009-7729-3204
  • Dr. Manish Dadhich Associate Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India https://orcid.org/0000-0001-6875-8502
  • Dr. Disha Mathur Associate Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India https://orcid.org/0000-0002-7106-8120
  • Dr. Arvind Sharma Associate Professor, School of Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India

DOI:

https://doi.org/10.31305/rrijm.2024.v09.n09.007

Keywords:

Metacognitive Resource Utilization (MRU), Resource Utilization, Integrated Curriculum, Sustainability, Continuous Assessment

Abstract

This study investigates integrating data-driven learning and Generative AI within the Meta-Cognitive Resource Utilization Framework (MCRUF) and its potential to enhance educational outcomes. It highlights how AI-driven tools can personalize learning experiences, foster meta-cognitive skill development, and offer real-time feedback to improve learner autonomy and engagement. However, the study identifies key challenges, such as over-reliance on technology, digital literacy gaps, data privacy concerns, and unequal access to AI resources. The findings suggest important implications for educators and policymakers, emphasizing the need for ethical guidelines, equitable access, and a balanced approach combining AI assistance with active learner participation. Future research should focus on long-term impacts and strategies to ensure responsible implementation of these technologies.

Author Biographies

Rajiv Verma, Research Scholar, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Rajiv Verma, as a researcher with a focus on academics and admissions marketing, my primary aim is to identify research gaps and optimize student recruitment from regions such as Bihar, Uttar Pradesh, Jharkhand, the North East, and parts of Southern India, along with international markets like Nepal, Bangladesh, and Africa. My work combines a deep understanding of marketing strategies with academic frameworks, enabling me to assess and refine approaches that drive both effective pedagogy and enrollment in these regions. By employing a research-driven and customized methodology, I have consistently developed strategies that not only improve AI-driven implementations but also enhance academic and financial outcomes for the universities I work with. My ability to align theoretical insights with practical financial considerations allows me to contribute meaningfully to both the academic and financial sustainability of higher education institutions.

Dr. Manish Dadhich, Associate Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Dr. Manish Dadhich is PhD from the Department of Commerce, EAFM, University of Rajasthan, Jaipur, M.Com, UGC-NET (Commerce); MBA, UGC-NET (Management), RPSC-SET (Management). He has 16+ years of teaching experience in various colleges, universities, and corporate sectors, a rare blend of academia, industry, corporate consultancy, and research. He is presently working as an Associate Professor at School of Management, Sir Padampat Singhania University, Udaipur. He has published 90+ research papers in reputed international & national journals indexed in Scopus/SCI/IEEE/ABDC/WoS. He also presented more than 60 research papers at national and international conferences. He is a reviewer, advisor, and editorial board member of various reputed International Journals and Conferences of IEEE, Springer, and Elsevier. He is in charge of PhD and research, Program Officer of NSS, a member of the Directorate of Research, and treasurer of SPSU Alumni Society and admission team. Presently, six scholars are pursuing PhD. He was awarded two gold medals in the National Conference for the best research paper. He has published one textbook and four edited books. He has also published 5 case studies. He is a regular invitee for FDP, research workshops, orientation, and refresher course lectures. He was also awarded one Australian patent and published two Indian patents. Further, his major research focuses on Finance, Banking, FinTech, Econometrics, and Statistics.

Dr. Disha Mathur, Associate Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Dr Disha Mathur has a rich academic and research experience of over 20 years. Presently she is working as Associate Professor at School of Management, Sir Padampat Singhania University. Along with academics she engages in administrative responsibilities like being the Director, IQAC and President of the Institution’s Innovation Council of Sir Padampat Singhania University. Her academic qualifications include UGC-NET (Management) in December 2003, Ph D in Marketing from Mohanlal Sukhadia University, Masters in Business Administration (Marketing) From MLS University and Bachelors in Business Management from MLS University. Her Research interests include Consumer Behaviour, Integrated Marketing Communication, etc. Her work has been published in various national and international journals of repute. She has over 36 publications in Scopus, ABDC, Web of Sciences & UGC Care Indexed journals and has several presentations in both national and international seminars and conferences. She has co-authored a book on Human Resource Management. She is a certified instructor for the GMCS program convened for Chartered Accountants. As an active member of the Indian Society for Training and Development she is regularly engaged in conducting Executive Training Sessions, Personality Development Programs and Management Development Programs. 4 scholars have been awarded Post Doctoral Degree under her supervision and 6 are pursuing currently.

Dr. Arvind Sharma, Associate Professor, School of Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India

Dr. Arvind Sharma has 19+ years of academic experience in the field of Mathematics (Engineering and Management). He has completed his PhD in “Gneneral Relativity and Cosmology” from MLSU, Udaipur. He has completed his M.Phil. in Mathematics from MKU Chennai. He is working as Assistant Professor in Department of Mathematics at Sir Padampat Singhania University, Udaipur. He has published more than 25 research papers in reputed national and international journals and conferences. He has attended more than 20 national and international workshops, faculty development programmes and conferences.

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Published

28-09-2024

How to Cite

Verma, R., Dadhich, M., Mathur, D., & Sharma, A. (2024). Empirical Study of Data-Driven Learning and Generative AI in Enhancing Meta-Cognitive Resource Utilization: A Comprehensive Analysis. RESEARCH REVIEW International Journal of Multidisciplinary, 9(9), 58–67. https://doi.org/10.31305/rrijm.2024.v09.n09.007

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Vol. 9 No. 9 (2024): RESEARCH REVIEW International Journal of Multidisciplinary

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Articles

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