Futures studies for development of smart education considering the role of new technologies

Document Type : Original Article

Authors

1 Assistant Professor, Computer Engineering Department, Imam Khomeini International University, Qazvin, Iran

2 Ph.D. Candidate in Futures Studies, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran

3 PhD Student, Faculty of Management, university of Tehran, Tehran

Abstract

Background and purpose: Our focus in this research is on Artificial Intelligence (AI) and the Internet of Things (IoT). These two technologies are rapidly expanding and fundamentally changing various aspects related to education. The aim of this study is to identify a scenarios of developing an education based on a proper understanding of changes in the process of technological development at the international level.

Method: The methodology of this study is mixed exploratory. In this way, in the first step, the drivers were identified by the qualitative method of literature review, and in the second step, they were confirmed by the quantitative method of the binomial test, then in the third step, the drivers were analyzed using the DEMATEL method. Finally, after identifying the key uncertainties, using the method of Cross-Impact Balances, The scenarios were extracted and then writing. the theoretical community in the second to fourth steps of the research consists of 20 experts through purposive sampling who are knowledgeable about the research topic.

Findings: Ultimately, we identified 16 influential drivers and based on their impact states, which shape the future, we developed three distinct scenarios.

Conclusion: Our findings emphasize that AI research significantly impacts the educational structure. Important aspects of AI growth on education include a strong private education industry and increasing international interest. This study provides an enlightening research guideline for the future, helping researchers in identifying contemporary research issues and developing impactful research to address complex social problems, leveraging AI.

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History

  • Receive Date: 12 January 2024
  • Revise Date: 27 February 2024
  • Accept Date: 02 April 2024

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