Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice

The application of the Internet of Things is increasing in momentum as advances in artificial intelligence exponentially increase its integration. This has caused continuous shifts in the Internet of Things paradigm with increasing levels of complexity. Consequently, researchers, practitioners, and...

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Main Authors: Raafat George Saadé, Jun Zhang, Xiaoyong Wang, Hao Liu, Hong Guan
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:IoT
Subjects:
Online Access:https://www.mdpi.com/2624-831X/4/3/19
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author Raafat George Saadé
Jun Zhang
Xiaoyong Wang
Hao Liu
Hong Guan
author_facet Raafat George Saadé
Jun Zhang
Xiaoyong Wang
Hao Liu
Hong Guan
author_sort Raafat George Saadé
collection DOAJ
description The application of the Internet of Things is increasing in momentum as advances in artificial intelligence exponentially increase its integration. This has caused continuous shifts in the Internet of Things paradigm with increasing levels of complexity. Consequently, researchers, practitioners, and governments continue facing evolving challenges, making it more difficult to adapt. This is especially true in the education sector, which is the focus of this article. The overall purpose of this study is to explore the application of IoT and artificial intelligence in education and, more specifically, learning. Our methodology follows four research questions. We first report the results of a systematic literature review on the Internet of Intelligence of Things (IoIT) in education. Secondly, we develop a corresponding conceptual model, followed thirdly by an exploratory pilot survey conducted on a group of educators from around the world to get insights on their knowledge and use of the Internet of Things in their classroom, thereby providing a better understanding of issues, such as knowledge, use, and their readiness to integrate IoIT. We finally present the application of the IoITE conceptual model in teaching and learning through four use cases. Our review of publications shows that research in the IoITE is scarce. This is even more so if we consider its application to learning. Analysis of the survey results finds that educators, in general, are lacking in their readiness to innovate with the Internet of Things in learning. Use cases highlight IoITE possibilities and its potential to explore and exploit. Challenges are identified and discussed.
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spelling doaj.art-3e53db658230463ea1c09cebf0bfa39f2023-11-19T11:16:03ZengMDPI AGIoT2624-831X2023-09-014343046510.3390/iot4030019Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and PracticeRaafat George Saadé0Jun Zhang1Xiaoyong Wang2Hao Liu3Hong Guan4School of Global Governance, Beijing Institute of Technology, Beijing 100081, ChinaBeijing Institute of Technology, Beijing 100081, ChinaOffice of Graduate School, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Global Governance, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Management and Economics, Beijing Institute of Technology, Beijing 100081, ChinaThe application of the Internet of Things is increasing in momentum as advances in artificial intelligence exponentially increase its integration. This has caused continuous shifts in the Internet of Things paradigm with increasing levels of complexity. Consequently, researchers, practitioners, and governments continue facing evolving challenges, making it more difficult to adapt. This is especially true in the education sector, which is the focus of this article. The overall purpose of this study is to explore the application of IoT and artificial intelligence in education and, more specifically, learning. Our methodology follows four research questions. We first report the results of a systematic literature review on the Internet of Intelligence of Things (IoIT) in education. Secondly, we develop a corresponding conceptual model, followed thirdly by an exploratory pilot survey conducted on a group of educators from around the world to get insights on their knowledge and use of the Internet of Things in their classroom, thereby providing a better understanding of issues, such as knowledge, use, and their readiness to integrate IoIT. We finally present the application of the IoITE conceptual model in teaching and learning through four use cases. Our review of publications shows that research in the IoITE is scarce. This is even more so if we consider its application to learning. Analysis of the survey results finds that educators, in general, are lacking in their readiness to innovate with the Internet of Things in learning. Use cases highlight IoITE possibilities and its potential to explore and exploit. Challenges are identified and discussed.https://www.mdpi.com/2624-831X/4/3/19higher educationIoTintelligencelearningsystematic literature reviewuse
spellingShingle Raafat George Saadé
Jun Zhang
Xiaoyong Wang
Hao Liu
Hong Guan
Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
IoT
higher education
IoT
intelligence
learning
systematic literature review
use
title Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
title_full Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
title_fullStr Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
title_full_unstemmed Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
title_short Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice
title_sort challenges and opportunities in the internet of intelligence of things in higher education towards bridging theory and practice
topic higher education
IoT
intelligence
learning
systematic literature review
use
url https://www.mdpi.com/2624-831X/4/3/19
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