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Exploring Academic Engagement of Chinese Art Students in Multimodal AI‐Assisted Learning: The Roles of Teacher Support and AI Literacy.

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Title: Exploring Academic Engagement of Chinese Art Students in Multimodal AI‐Assisted Learning: The Roles of Teacher Support and AI Literacy.
Authors: Dong, Shujun1 (AUTHOR) 230219070@seu.edu.cn, Gan, Feng1 (AUTHOR) gan@seu.edu.cn
Source: European Journal of Education. Mar2026, Vol. 61 Issue 1, p1-12. 12p.
Subject Terms: *Art students, *Educational technology, *Art education, *Academic support programs, *Learning, *Student engagement, Latent class analysis (Statistics)
Abstract: The integration of multimodal artificial intelligence (AI) into art education has become a significant and transformative trend. Although previous research has demonstrated that AI can enhance students' academic engagement, limited attention has been given to the underlying mechanisms that promote engagement in multimodal AI‐assisted learning environments. To address this gap, the present study aimed to identify distinct subgroups of art students based on their perceived teacher support and AI literacy by employing latent profile analysis. It further examined how these profiles were associated with students' academic engagement. Results revealed three distinct profiles: the Low Teacher Support–High AI Literacy group, the Medium Teacher Support–Medium AI Literacy group, and the High Teacher Support–Low AI Literacy group. Significant differences in academic engagement were observed among these profiles. The findings offer valuable insights for art educators and researchers, highlighting the importance of integrating both interpersonal and technological factors to foster students' academic engagement in multimodal AI‐assisted learning contexts. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Education is the property of Wiley-Blackwell 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: Education Research Complete
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PubType: Academic Journal
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  Data: Exploring Academic Engagement of Chinese Art Students in Multimodal AI‐Assisted Learning: The Roles of Teacher Support and AI Literacy.
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  Data: <searchLink fieldCode="AR" term="%22Dong%2C+Shujun%22">Dong, Shujun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 230219070@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Gan%2C+Feng%22">Gan, Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gan@seu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Education%22">European Journal of Education</searchLink>. Mar2026, Vol. 61 Issue 1, p1-12. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Art+students%22">Art students</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Art+education%22">Art education</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+support+programs%22">Academic support programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+class+analysis+%28Statistics%29%22">Latent class analysis (Statistics)</searchLink>
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  Data: The integration of multimodal artificial intelligence (AI) into art education has become a significant and transformative trend. Although previous research has demonstrated that AI can enhance students' academic engagement, limited attention has been given to the underlying mechanisms that promote engagement in multimodal AI‐assisted learning environments. To address this gap, the present study aimed to identify distinct subgroups of art students based on their perceived teacher support and AI literacy by employing latent profile analysis. It further examined how these profiles were associated with students' academic engagement. Results revealed three distinct profiles: the Low Teacher Support–High AI Literacy group, the Medium Teacher Support–Medium AI Literacy group, and the High Teacher Support–Low AI Literacy group. Significant differences in academic engagement were observed among these profiles. The findings offer valuable insights for art educators and researchers, highlighting the importance of integrating both interpersonal and technological factors to foster students' academic engagement in multimodal AI‐assisted learning contexts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of European Journal of Education is the property of Wiley-Blackwell 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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      – Type: doi
        Value: 10.1111/ejed.70489
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Art students
        Type: general
      – SubjectFull: Educational technology
        Type: general
      – SubjectFull: Art education
        Type: general
      – SubjectFull: Academic support programs
        Type: general
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Student engagement
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      – SubjectFull: Latent class analysis (Statistics)
        Type: general
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      – TitleFull: Exploring Academic Engagement of Chinese Art Students in Multimodal AI‐Assisted Learning: The Roles of Teacher Support and AI Literacy.
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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