Preliminary Study of Internet of Educational Things and Big Data Analytics Adoption in Higher Education Institutions
Keywords:
Digitalisation transformation, Big data analytics, Higher education , TransformationAbstract
The proliferation of digital devices in higher education institutions, coupled with Internet of Everything (IoE) technologies, drives the adoption of big data analytics for informed decision-making within smart universities. To examine the Internet of Educational Things (IoET) and Big Data Analytics (BDA) in higher education, a systematic literature review explores various BDA methods and their benefits, including targeted course offerings, personalized learning, and employment opportunities post-education. Additionally, innovative business processes and BDA techniques enhance organizational cultures within emerging economies. However, challenges exist regarding data tracking, collection, storage, analysis, interpretation, the tenuous connection between data sciences and network sciences, alongside security, privacy, and ethical concerns. The report underscores the need to advance the analytical skills of all stakeholders- including decision-makers, administrators at different levels, course developers, and students- not just faculty, within smart universities to effectively apply various advanced BDA techniques that leverage large educational datasets for informed, data-driven decision-making in a competitive global market.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Technology in Education Science
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Articles may be used for research, teaching, and private study purposes. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material.
The author(s) of a manuscript agree that if the manuscript is accepted for publication in the journal, the published article will be copyrighted using a Creative Commons “Attribution 4.0 International” license. This license allows others to freely copy, distribute, and display the copyrighted work, and derivative works based upon it, under certain specified conditions.
Authors are responsible for obtaining written permission to include any images or artwork for which they do not hold copyright in their articles, or to adapt any such images or artwork for inclusion in their articles. The copyright holder must be made explicitly aware that the image(s) or artwork will be made freely available online as part of the article under a Creative Commons “Attribution 4.0 International” license.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
