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Acceptance of Educational Use of AI Chatbots in the Context of Self-Directed Learning with Technology and ICT Self-Efficacy of Undergraduate Students.

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Title: Acceptance of Educational Use of AI Chatbots in the Context of Self-Directed Learning with Technology and ICT Self-Efficacy of Undergraduate Students.
Authors: Esiyok, Elif (AUTHOR), Gokcearslan, Sahin (AUTHOR), Kucukergin, Kemal Gurkan (AUTHOR)
Source: International Journal of Human-Computer Interaction. Jan2025, Vol. 41 Issue 1, p641-650. 10p.
Subjects: Autodidacticism, Self-efficacy in students, Artificial intelligence, Structural equation modeling, Technology Acceptance Model, Chatbots
Abstract: For long now, the use of Artificial Intelligence (AI) chatbots in higher education to support and engage learners in classroom learning activities has been attracting the attention of researchers. The acceptance of this technology for learning purposes is indicative of learners' intentions and actual use in the future. Hence, this study aims to test the educational use of AI chatbots in the context of self-directed learning with technology (SDLT) along with information and communication technology (ICT) self-efficacy, using the extended Technology Acceptance Model (TAM). The study involved 414 undergraduate students, and the research model was tested by utilizing the Partial Least Square Structural Equation Model (PLS-SEM). The results indicate that ICT self-efficacy affects only the perceived ease of use (PEU), whereas PEU and perceived usefulness have a positive effect on the intention to use AI chatbots. Moreover, SDLT is shown to affect both the intention and the actual use of AI chatbots. As such, it is suggested – among other notes – that universities update their curricula and activities to support SDLT, and also organize activities in order to increase ICT self-efficacy among students. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Acceptance of Educational Use of AI Chatbots in the Context of Self-Directed Learning with Technology and ICT Self-Efficacy of Undergraduate Students.
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  Data: <searchLink fieldCode="AR" term="%22Esiyok%2C+Elif%22">Esiyok, Elif</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gokcearslan%2C+Sahin%22">Gokcearslan, Sahin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kucukergin%2C+Kemal+Gurkan%22">Kucukergin, Kemal Gurkan</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Jan2025, Vol. 41 Issue 1, p641-650. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Autodidacticism%22">Autodidacticism</searchLink><br /><searchLink fieldCode="DE" term="%22Self-efficacy+in+students%22">Self-efficacy in students</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: For long now, the use of Artificial Intelligence (AI) chatbots in higher education to support and engage learners in classroom learning activities has been attracting the attention of researchers. The acceptance of this technology for learning purposes is indicative of learners' intentions and actual use in the future. Hence, this study aims to test the educational use of AI chatbots in the context of self-directed learning with technology (SDLT) along with information and communication technology (ICT) self-efficacy, using the extended Technology Acceptance Model (TAM). The study involved 414 undergraduate students, and the research model was tested by utilizing the Partial Least Square Structural Equation Model (PLS-SEM). The results indicate that ICT self-efficacy affects only the perceived ease of use (PEU), whereas PEU and perceived usefulness have a positive effect on the intention to use AI chatbots. Moreover, SDLT is shown to affect both the intention and the actual use of AI chatbots. As such, it is suggested – among other notes – that universities update their curricula and activities to support SDLT, and also organize activities in order to increase ICT self-efficacy among students. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2024.2303557
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Self-efficacy in students
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Structural equation modeling
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      – SubjectFull: Technology Acceptance Model
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      – SubjectFull: Chatbots
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            – D: 01
              M: 01
              Text: Jan2025
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