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 Book Chapter 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/. Title A name given to the resource Big data, artificial intelligence, and machine learning support for e-learning frameworks Description An account of the resource Today's e-rendering frameworks are essential in various fields such as computer graphics, virtual reality, and augmented reality to provide an effective and impressive education to modern society. The integration of big data, artificial intelligence (AI), and machine learning (ML) techniques into e-rendering frameworks hold significant potential for enhancing rendering efficiency, optimizing resource allocation, and improving the quality of rendered outputs. With the advent of big data, massive amounts of rendering-related data can be collected and analyzed. This data includes rendering parameters, scene descriptions, user preferences, and performance metrics. By applying data analytics, important information can be derived, allowing for more informed decision-making in rendering processes. Additionally, AI techniques, such as neural networks and deep learning, can be employed to learn from the collected data and generate more accurate rendering models and algorithms. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Arumugam S.K.; Reddy A.V.D.; Tyagi A.K. Source A related resource from which the described resource is derived Architecture and Technological Advancements of Education 4.0, pp. 248-275. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/9781668492857.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9781668492857.ch011</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181380457&amp;doi=10.4018%2F9781668492857.ch011&amp;partnerID=40&amp;md5=4963d922d89e191477375d42548334e1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181380457&amp;doi=10.4018%2f9781668492857.ch011&amp;partnerID=40&amp;md5=4963d922d89e191477375d42548334e1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849286-4; 978-166849285-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arumugam S.K., Christ University, India; Reddy A.V.D., Vellore Institute of Technology, Chennai, India; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India