Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramachandran, K.K.; Mishra, Budhi Sagar; Oberai, Himani; Masood, Gazala; Anand, Ila Mehrotra; Shukla, Nidhi Title A name given to the resource Scientific competence and acquisition challenges in education managed by analytics Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Intelligent Enterprise;Volume;12;Issue;2;pp.126-147 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJIE.2025.145654" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2025.145654</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002680075?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002680075?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource academic delivery; e-learning model; education learning; education management; education policy; human resource; infrastructure administration; instructional design Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17453232; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online