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 Book Chapter Faculty Publications- Book Chapter 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 Roy, Ankita Priti; Anand, Kerena; Elangovan, N.; Halaswamy, D. Title A name given to the resource Enhancing student engagement in blended learning through personalization strategies on EdTech platforms: An MCDM-based approach 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 Multiple-Criteria Decision-Making (MCDM) Techniques and Statistics in Marketing;pp.147-175 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9122-8.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9122-8.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002930898?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002930898?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 Roy A.P., School of Business and Management, Christ University, Bengaluru, India; Anand K., School of Business and Management, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India; Halaswamy D., School of Business and Management, Christ University, Bengaluru, India Description An account of the resource The rapid growth of educational technology highlights the essential need for personalized learning in blended environments. This study uses Multi-Criteria Decision Making (MCDM) methodologies, including the Analytic Hierarchy Process (AHP), Fuzzy AHP, and Analytic Network Process (ANP), to evaluate and prioritize personalization strategies in EdTech platforms. The research identifies data-driven adaptive learning as the most critical strategy (36.46%), followed by AI-powered content recommendations (15.46%) and personalized learning paths (15.11%). It reveals that personalization strategies are interconnected, creating dynamic feedback loops that reinforce one another, enabling continuous learning optimization. The study provides a holistic framework for educational technologists, policymakers, and designers. This approach bridges technological innovation with pedagogy, emphasizing adaptive, datainformed systems that respond dynamically to learner needs, ensuring the balance between innovation and educational quality. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939124-2; 979-836939122-8; Language A language of the resource English Type The nature or genre of the resource Book chapter 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