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Preservice teachers' perceptions of AI as a creative partner in lesson planning.

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Title: Preservice teachers' perceptions of AI as a creative partner in lesson planning.
Authors: Willcox, Libba1 (AUTHOR) swillcox@iu.edu, Williams, Rebecca Danielle2 (AUTHOR) rwilliams44@murraystate.edu
Source: International Journal of Education through Art. Mar2026, Vol. 22 Issue 1, p85-101. 17p.
Subject Terms: *Lesson planning, *Educational technology, *Art education, *Teacher burnout, *Student teachers, Artificial intelligence & ethics, Technology Acceptance Model
Abstract: More than three-quarters of current teachers report experiencing burnout and intentions to exit the profession sooner than expected. Art teachers encounter unique complexities when designing curriculum since they often work independently without the district-provided resources available to colleagues. This qualitative study examines how preservice art teachers utilize AI-supported lesson planning and offers insight for teacher educators as they incorporate AI tools into teacher preparation curricula. Twenty-two preservice art educators participated in this study, using ChatGPT during their lesson planning process. Grounded in the Technological Pedagogical Content Knowledge (TPACK) framework and the Technology Acceptance Model (TAM), the study examines both cognitive and affective dimensions involved in AI integration. The results indicate three major roles of AI: creative partner for ideation and content development, technical assistant for efficiency and organization, and problematic collaborator with inherent limitations and risks. While AI enhanced pedagogical knowledge, content knowledge and idea generation for most participants, concerns emerged regarding dependency risks, communication barriers and ethical considerations. This study suggests the need to balance efficiency gains with critical engagement, emphasizing that AI should augment rather than replace teacher expertise. Teacher educators must proactively integrate AI literacy into methods courses, teaching preservice teachers to engage iteratively and critically with AI as a collaborative tool that can meaningfully reduce burnout while preserving the authenticity and professional judgment essential to quality teaching. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Education through Art is the property of Intellect 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: Education Research Complete
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  Data: Preservice teachers' perceptions of AI as a creative partner in lesson planning.
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  Data: <searchLink fieldCode="AR" term="%22Willcox%2C+Libba%22">Willcox, Libba</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> swillcox@iu.edu</i><br /><searchLink fieldCode="AR" term="%22Williams%2C+Rebecca+Danielle%22">Williams, Rebecca Danielle</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> rwilliams44@murraystate.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Education+through+Art%22">International Journal of Education through Art</searchLink>. Mar2026, Vol. 22 Issue 1, p85-101. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Lesson+planning%22">Lesson planning</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="%22Teacher+burnout%22">Teacher burnout</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+teachers%22">Student teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink>
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  Label: Abstract
  Group: Ab
  Data: More than three-quarters of current teachers report experiencing burnout and intentions to exit the profession sooner than expected. Art teachers encounter unique complexities when designing curriculum since they often work independently without the district-provided resources available to colleagues. This qualitative study examines how preservice art teachers utilize AI-supported lesson planning and offers insight for teacher educators as they incorporate AI tools into teacher preparation curricula. Twenty-two preservice art educators participated in this study, using ChatGPT during their lesson planning process. Grounded in the Technological Pedagogical Content Knowledge (TPACK) framework and the Technology Acceptance Model (TAM), the study examines both cognitive and affective dimensions involved in AI integration. The results indicate three major roles of AI: creative partner for ideation and content development, technical assistant for efficiency and organization, and problematic collaborator with inherent limitations and risks. While AI enhanced pedagogical knowledge, content knowledge and idea generation for most participants, concerns emerged regarding dependency risks, communication barriers and ethical considerations. This study suggests the need to balance efficiency gains with critical engagement, emphasizing that AI should augment rather than replace teacher expertise. Teacher educators must proactively integrate AI literacy into methods courses, teaching preservice teachers to engage iteratively and critically with AI as a collaborative tool that can meaningfully reduce burnout while preserving the authenticity and professional judgment essential to quality teaching. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Education through Art is the property of Intellect 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=192234320
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        Value: 10.1386/eta_00223_1
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        Text: English
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        Type: general
      – SubjectFull: Educational technology
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      – SubjectFull: Art education
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      – SubjectFull: Teacher burnout
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      – SubjectFull: Artificial intelligence & ethics
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      – SubjectFull: Technology Acceptance Model
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              M: 03
              Text: Mar2026
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              Y: 2026
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