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Towards Smart Education through the Internet of Things: A Survey

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Towards Smart Education through the Internet of Things: A Survey. / Badshah, Afzal; Ghani, Anwar; Daud, Ali et al.
In: ACM Computing Surveys, Vol. 56, No. 2, 26, 14.09.2023, p. 1-33.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Badshah, A, Ghani, A, Daud, A, Jalal, A, Bilal, M & Crowcroft, J 2023, 'Towards Smart Education through the Internet of Things: A Survey', ACM Computing Surveys, vol. 56, no. 2, 26, pp. 1-33. https://doi.org/10.1145/3610401

APA

Badshah, A., Ghani, A., Daud, A., Jalal, A., Bilal, M., & Crowcroft, J. (2023). Towards Smart Education through the Internet of Things: A Survey. ACM Computing Surveys, 56(2), 1-33. Article 26. https://doi.org/10.1145/3610401

Vancouver

Badshah A, Ghani A, Daud A, Jalal A, Bilal M, Crowcroft J. Towards Smart Education through the Internet of Things: A Survey. ACM Computing Surveys. 2023 Sept 14;56(2):1-33. 26. Epub 2023 Jul 21. doi: 10.1145/3610401

Author

Badshah, Afzal ; Ghani, Anwar ; Daud, Ali et al. / Towards Smart Education through the Internet of Things : A Survey. In: ACM Computing Surveys. 2023 ; Vol. 56, No. 2. pp. 1-33.

Bibtex

@article{aed629814f7645a08ce301f4d9d80646,
title = "Towards Smart Education through the Internet of Things: A Survey",
abstract = "IoT is a fundamental enabling technology for creating smart spaces, which can assist the effective face-to-face and online education systems. The transition to smart education (integrating IoT and AI into the education system) is appealing, which has a concrete impact on learners{\textquoteright} engagement, motivation, attendance, and deep learning. Traditional education faces many challenges, including administration, pedagogy, assessment, and classroom supervision. Recent developments in ICT (e.g., IoT, AI, and 5G) have yielded lots of smart solutions for various aspects of life; however, smart solutions are not well integrated into the education system. In particular, the COVID-19 pandemic situation had further emphasized the adoption of new smart solutions in education. This study reviews the related studies and addresses the (i) problems in the traditional education system with possible solutions, (ii) the transition towards smart education, and (iii) research challenges in the transition to smart education (i.e., computational and social resistance). Considering these studies, smart solutions (e.g., smart pedagogy, smart assessment, smart classroom, smart administration) are introduced to the problems of the traditional system. This exploratory study opens new trends for scholars and the market to integrate ICT, IoT, and AI into smart education.",
author = "Afzal Badshah and Anwar Ghani and Ali Daud and Ateeqa Jalal and Muhammad Bilal and Jon Crowcroft",
year = "2023",
month = sep,
day = "14",
doi = "10.1145/3610401",
language = "English",
volume = "56",
pages = "1--33",
journal = "ACM Computing Surveys",
issn = "0360-0300",
publisher = "Association for Computing Machinery (ACM)",
number = "2",

}

RIS

TY - JOUR

T1 - Towards Smart Education through the Internet of Things

T2 - A Survey

AU - Badshah, Afzal

AU - Ghani, Anwar

AU - Daud, Ali

AU - Jalal, Ateeqa

AU - Bilal, Muhammad

AU - Crowcroft, Jon

PY - 2023/9/14

Y1 - 2023/9/14

N2 - IoT is a fundamental enabling technology for creating smart spaces, which can assist the effective face-to-face and online education systems. The transition to smart education (integrating IoT and AI into the education system) is appealing, which has a concrete impact on learners’ engagement, motivation, attendance, and deep learning. Traditional education faces many challenges, including administration, pedagogy, assessment, and classroom supervision. Recent developments in ICT (e.g., IoT, AI, and 5G) have yielded lots of smart solutions for various aspects of life; however, smart solutions are not well integrated into the education system. In particular, the COVID-19 pandemic situation had further emphasized the adoption of new smart solutions in education. This study reviews the related studies and addresses the (i) problems in the traditional education system with possible solutions, (ii) the transition towards smart education, and (iii) research challenges in the transition to smart education (i.e., computational and social resistance). Considering these studies, smart solutions (e.g., smart pedagogy, smart assessment, smart classroom, smart administration) are introduced to the problems of the traditional system. This exploratory study opens new trends for scholars and the market to integrate ICT, IoT, and AI into smart education.

AB - IoT is a fundamental enabling technology for creating smart spaces, which can assist the effective face-to-face and online education systems. The transition to smart education (integrating IoT and AI into the education system) is appealing, which has a concrete impact on learners’ engagement, motivation, attendance, and deep learning. Traditional education faces many challenges, including administration, pedagogy, assessment, and classroom supervision. Recent developments in ICT (e.g., IoT, AI, and 5G) have yielded lots of smart solutions for various aspects of life; however, smart solutions are not well integrated into the education system. In particular, the COVID-19 pandemic situation had further emphasized the adoption of new smart solutions in education. This study reviews the related studies and addresses the (i) problems in the traditional education system with possible solutions, (ii) the transition towards smart education, and (iii) research challenges in the transition to smart education (i.e., computational and social resistance). Considering these studies, smart solutions (e.g., smart pedagogy, smart assessment, smart classroom, smart administration) are introduced to the problems of the traditional system. This exploratory study opens new trends for scholars and the market to integrate ICT, IoT, and AI into smart education.

U2 - 10.1145/3610401

DO - 10.1145/3610401

M3 - Journal article

VL - 56

SP - 1

EP - 33

JO - ACM Computing Surveys

JF - ACM Computing Surveys

SN - 0360-0300

IS - 2

M1 - 26

ER -