ItemArticle

Scientific competence and acquisition challenges in education managed by analytics

Title
Scientific competence and acquisition challenges in education managed by analytics
Creator
Ramachandran, K.K.; Mishra, Budhi Sagar; Oberai, Himani; Masood, Gazala; Anand, Ila Mehrotra; Shukla, Nidhi
Description
Integration of instructional, informational, and communication technology underpins modern higher education. After decades without computer networks, these technologies have transformed learning. E-learning has transformed the education sector, solving its problems. The similarities between technology and cognition make this change noteworthy. Artificial intelligence-inspired model-based reinforcement learning lets agents predict states and outcomes across activities and settings to modify their behaviour. The human brain has similar mechanisms, especially in model selection, which is a fascinating mystery. This study examined the brains model selection process and found that sensory prediction errors motivate the brain to choose between computational models. The theory was contrasted with internal modelling and incentive predictive performance to show how prediction errors influence computational model selection. The brain can choose an internal validation learning model based on incentive prediction mistakes, as empirical evidence demonstrates that the policy gradient method matches these models. These models were intended to address higher education issues like administration, academic delivery, instructional design, and ethics. The report also suggested that e-learning could help solve industry issues like student concentration on campuses, brain drain, and resource shortages. This research shows how technology can change higher education and the future of learning. Copyright 2025 Inderscience Enterprises Ltd.
Source
International Journal of Intelligent Enterprise;Volume;12;Issue;2;pp.126-147
Date
01-01-2025
Publisher
Inderscience Publishers
Subject
academic delivery; e-learning model; education learning; education management; education policy; human resource; infrastructure administration; instructional design
Coverage
Ramachandran K.K., Department of Management, Commerce and International Business, Dr. G.R.D. College of Science, Tamil Nadu, Coimbatore, India; Mishra B.S., Department of Management, L.N. Mishra College of Business Management, Bihar, Muzaffarpur, India; Oberai H., Department of Management, GLA University, Mathura, India; Masood G., Faculty of Commerce and Management, Rama University, Kanpur, India; Anand I.M., School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Shukla N., Presidency Business School, Presidency College, Karnataka, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 17453232;
Format
online
Language
English
Type
Article

Citation

Ramachandran, K.K.; Mishra, Budhi Sagar; Oberai, Himani; Masood, Gazala; Anand, Ila Mehrotra; Shukla, Nidhi, “Scientific competence and acquisition challenges in education managed by analytics,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23302.

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