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Influencing factors on students’ learning effectiveness of AI-based technology application: Mediation variable of the human-computer interaction experience

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Abstract

This research investigated 1,552 university students to explore the correlation between their learning effectiveness of artificial intelligence (AI) technology application and its influencing factors. The aim is to provide a reference for school planning and application of AI in information and communications technology (ICT) teaching. The results show that ICT self-efficacy (ICT-SE) has a significant direct effect, and human-computer interaction experience (HCIE) has a significant indirect effect on lLearning effectiveness of AI-based technology applications (LE-AITA). The impact model of university student ICT-SE and HCIE on LE-AITA exhibits a good fit. The recommendation is that Taiwan education improve the AI learning environment, provide a suitable platform for the use and development of educational technology, and create a seamless teaching and learning experience. We discuss influencing factors and provide suggestions for the development of AI education.

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Acknowledgements

This paper was written while the authors were supported by a grant from the Ministry of Science and Technology, Taiwan (MOST 109-2511-H-224-002-MY3)

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  1. Graduate Institute of Vocational and Technological Education, National Yunlin University of Science & Technology, Yunlin, Taiwan, Republic of China

    Chun-Mei Chou

  2. Department of Creative Design, National Yunlin University of Science & Technology, Yunlin, Taiwan, Republic of China

    Tsu-Chi Shen

  3. Graduate Institute of Information Engineering, National Yunlin University of Science & Technology, Yunlin, Taiwan, Republic of China

    Tsu-Chuan Shen

  4. Department of Business Administration, Transworld Institute of Technology, Yunlin, Taiwan, Republic of China

    Chien-Hua Shen

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Chou, CM., Shen, TC., Shen, TC. et al. Influencing factors on students’ learning effectiveness of AI-based technology application: Mediation variable of the human-computer interaction experience. Educ Inf Technol 27, 8723–8750 (2022). https://doi.org/10.1007/s10639-021-10866-9

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  • DOI: https://doi.org/10.1007/s10639-021-10866-9

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