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Development and Validation of a Scale Measuring Student Attitudes Toward Artificial Intelligence

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  • Woong Suh
  • Seongjin Ahn

Abstract

Artificial intelligence (AI) education is becoming increasingly important worldwide. However, there has been no measuring instrument for diagnosing the students’ current perspective. Thus the aim of this study was to develop an instrument that measures student attitudes toward AI. The instrument was developed by verifying the reliability and validity by 8 computer education PhD using a sample of 305 K-12 students. This scale made students’ attitudes toward AI operational and quantifiable. Accordingly, educators can use it to diagnose the current status of students or verify the effectiveness of new AI education methods.

Suggested Citation

  • Woong Suh & Seongjin Ahn, 2022. "Development and Validation of a Scale Measuring Student Attitudes Toward Artificial Intelligence," SAGE Open, , vol. 12(2), pages 21582440221, May.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221100463
    DOI: 10.1177/21582440221100463
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    References listed on IDEAS

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    1. Vasile Gherheș & Ciprian Obrad, 2018. "Technical and Humanities Students’ Perspectives on the Development and Sustainability of Artificial Intelligence (AI)," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
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    Cited by:

    1. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    2. Hong-Guang Zhao & Xin-Zhu Li & Xin Kang, 2024. "Development of an artificial intelligence curriculum design for children in Taiwan and its impact on learning outcomes," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    3. Walery Okulicz-Kozaryn & Bohdan Korneliuk & Teresa Kupczyk & Olga Kalaman & Aleksander Jasinowski & Artem Artyukhov & Nadiia Artyukhova & Andriy Malovychko & Iurii Volk, 2023. "Threat of Artificial Intelligence to the higher education services: statistical analyses in selected Eastern European countries," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 4, pages 89-104.
    4. Valery Okulich-Kazarin, 2024. "Statistics Using Neural Networks in the Context of Sustainable Development Goal 9.5," Sustainability, MDPI, vol. 16(19), pages 1-17, September.
    5. Cheng-Feng Cheng & Chien-Che Huang & Ming-Chang Lin & Ta-Cheng Chen, 2023. "Exploring Effectiveness of Relationship Marketing on Artificial Intelligence Adopting Intention," SAGE Open, , vol. 13(4), pages 21582440231, December.

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