IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4000-d1076906.html
   My bibliography  Save this article

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

Author

Listed:
  • Jiuxiang Li

    (Social Studies Education, Sunchon National University, Sunchon 57922, Jeollanam-do, Republic of Korea)

  • Rufeng Wang

    (College of Physical Education, South-Central Minzu University, Wuhan 430074, China)

Abstract

The ever-increasing development of information technologies has led to the adoption of advanced learning techniques. In this regard, e-learning and machine learning are two of the emerging instructional means for educational institutes. The current study investigates the role of the Internet of Things (IoT) and digital educational platforms (DEPs) in the adoption of machine learning. The present research additionally investigated the function of DEPs as mediators between IoT and machine learning adoption. The department chairs or heads of 310 departments at 91 Chinese institutions provided the information. In order to analyze the data, we used SPSS 25.0 and SEM (structural equation modeling). The results demonstrated how crucial an impact IoT has on DEPs and the uptake of machine learning. DEPs directly affect machine learning adoption and also act as mediators. The findings also support the mediating role of DEPs in the IoT and machine learning adoption link. The current study contributes to both theory and practical management by examining how IoT is helpful for achieving machine learning adoption. Based on the responses of 91 educational departments, this is a unique study of the mechanisms to achieve machine learning adoption through IoT and DEPs.

Suggested Citation

  • Jiuxiang Li & Rufeng Wang, 2023. "Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4000-:d:1076906
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4000/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zeinab Shahbazi & Yung-Cheol Byun, 2022. "Agent-Based Recommendation in E-Learning Environment Using Knowledge Discovery and Machine Learning Approaches," Mathematics, MDPI, vol. 10(7), pages 1-19, April.
    2. Arun Rai & Xinlin Tang, 2010. "Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios," Information Systems Research, INFORMS, vol. 21(3), pages 516-542, September.
    3. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huigang Liang & Nianxin Wang & Yajiong Xue & Shilun Ge, 2017. "Unraveling the Alignment Paradox: How Does Business—IT Alignment Shape Organizational Agility?," Information Systems Research, INFORMS, vol. 28(4), pages 863-879, December.
    2. Maggie Chuoyan Dong & Yulin Fang & Detmar W. Straub, 2017. "The Impact of Institutional Distance on the Joint Performance of Collaborating Firms: The Role of Adaptive Interorganizational Systems," Information Systems Research, INFORMS, vol. 28(2), pages 309-331, June.
    3. Pascal Paillé & Yang Chen & Olivier Boiral & Jiafei Jin, 2014. "The Impact of Human Resource Management on Environmental Performance: An Employee-Level Study," Journal of Business Ethics, Springer, vol. 121(3), pages 451-466, May.
    4. Sanjith Gopalakrishnan & Moksh Matta & Hasan Cavusoglu, 2022. "The Dark Side of Technological Modularity: Opportunistic Information Hiding During Interorganizational System Adoption," Information Systems Research, INFORMS, vol. 33(3), pages 1072-1092, September.
    5. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    6. Zeinab Shahbazi & Yung-Cheol Byun, 2022. "NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    7. Rajiv Banker & Yi Liang & Narayan Ramasubbu, 2021. "Technical Debt and Firm Performance," Management Science, INFORMS, vol. 67(5), pages 3174-3194, May.
    8. Abdelmohsen A. Nassani & Crenguta Sinisi & Loredana Paunescu & Zahid Yousaf & Mohamed Haffar & Ahmad Kabbani, 2022. "Nexus of Innovation Network, Digital Innovation and Frugal Innovation towards Innovation Performance: Investigation of Energy Firms," Sustainability, MDPI, vol. 14(7), pages 1-11, April.
    9. AlMalki, Hameeda A. & Durugbo, Christopher M., 2023. "Evaluating critical institutional factors of Industry 4.0 for education reform," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    10. Rui Bi & Robert M. Davison & Kosmas X. Smyrnios, 2017. "E-business and fast growth SMEs," Small Business Economics, Springer, vol. 48(3), pages 559-576, March.
    11. Chi, Maomao & Wang, Weijun & Lu, Xinyuan & George, Joey F., 2018. "Antecedents and outcomes of collaborative innovation capabilities on the platform collaboration environment," International Journal of Information Management, Elsevier, vol. 43(C), pages 273-283.
    12. Liu, Yi & Liao, Yonghai & Li, Yuan, 2018. "Capability configuration, ambidexterity and performance: Evidence from service outsourcing sector," International Journal of Production Economics, Elsevier, vol. 200(C), pages 343-352.
    13. Tariq Al Amri & Katalin Puskas Khetani & Manuel Marey-Perez, 2021. "Towards Sustainable I4.0: Key Skill Areas for Project Managers in GCC Construction Industry," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    14. Natalia A. Kosolapova & Ludmila G. Matveeva & Anastasia Y. Nikitaeva & Lesego Molapisi, 2021. "The Rational Use of Water Resources in the Strategy of Industry 4.0," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 3023-3041, July.
    15. Jessica Braojos & Jose Benitez & Javier Llorens & Laura Ruiz, 2020. "Impact of IT integration on the firm’s knowledge absorption and desorption," Post-Print hal-03160729, HAL.
    16. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    17. Dong, John Qi & Netten, Jork, 2017. "Information technology and external search in the open innovation age: New findings from Germany," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 223-231.
    18. Chi, Maomao & Zhao, Jing & George, Joey F. & Li, Yanhui & Zhai, Shanshan, 2017. "The influence of inter-firm IT governance strategies on relational performance: The moderation effect of information technology ambidexterity," International Journal of Information Management, Elsevier, vol. 37(2), pages 43-53.
    19. Rogier van de Wetering & Tom Hendrickx & Sjaak Brinkkemper & Sherah Kurnia, 2021. "The Impact of EA-Driven Dynamic Capabilities, Innovativeness, and Structure on Organizational Benefits: A Variance and fsQCA Perspective," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    20. Chen, Meng & Tang, Xinlin & Liu, Hefu & Gu, Jibao, 2023. "The impact of supply chain concentration on integration and business performance," International Journal of Production Economics, Elsevier, vol. 257(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4000-:d:1076906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.