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Artificial Intelligence in Microteaching Lesson Study: Enhancing Pre-Service Teachers' Confidence and Instructional Quality

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Title: Artificial Intelligence in Microteaching Lesson Study: Enhancing Pre-Service Teachers' Confidence and Instructional Quality
Language: English
Authors: Ulzhamal Konakbayeva (ORCID 0000-0002-5017-7459), Perizat Baltasheva (ORCID 0009-0009-1056-3353), Bakyt Kuanysheva (ORCID 0000-0002-8771-9370), Indira Dauletova (ORCID 0009-0007-1263-1589), Galiya Kydyrbayeva (ORCID 0000-0002-3050-1688), Tatyana Karataeva (ORCID 0009-0004-5415-3595)
Source: Educational Process: International Journal. Article e2025127 2025 15.
Availability: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
Peer Reviewed: Y
Page Count: 13
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Microteaching, Teacher Effectiveness, Self Efficacy, Teaching Methods, Lesson Plans, Educational Quality, Art Education, Computer Software, Teacher Collaboration, Art Teachers, Technology Integration, Preservice Teachers, Teacher Education Programs, Scores, Student Attitudes, Intervention, Teaching Skills, Urban Universities
ISSN: 2147-0901
2564-8020
Abstract: Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with quantitative data collected from two groups of pre-service visual art teachers. They partook in collaborative lesson planning: one aided by generative chatbots and the other not, both followed by microteaching activities. A comparison group adhered to a standard university curriculum. Results: Both treatment conditions, with or without conversational agent usage, significantly improved overall lesson plan quality, particularly in terms of facilitating art-related discourse. Furthermore, both experimental groups outperformed untreated subjects in overall teaching competence. Specifically, the chatbot-supported condition scored significantly higher in the instruction domain at the post-test. However, post-intervention teaching self-efficacy scores indicated a uniform decline compared to pre-existing levels, without significant intergroup variance. Conclusion: This study provides empirical support for microteaching lesson study as a potent tool to enhance specific teaching skills within visual art education, irrespective of artificial intelligence integration. Furthermore, the findings of this investigation underscore the need for continued research into the effective deployment of technology, such as generative conversational agents, in teacher training programs.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475859
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Artificial Intelligence in Microteaching Lesson Study: Enhancing Pre-Service Teachers' Confidence and Instructional Quality
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  Data: <searchLink fieldCode="AR" term="%22Ulzhamal+Konakbayeva%22">Ulzhamal Konakbayeva</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-5017-7459">0000-0002-5017-7459</externalLink>)<br /><searchLink fieldCode="AR" term="%22Perizat+Baltasheva%22">Perizat Baltasheva</searchLink> (ORCID <externalLink term="http://orcid.org/0009-0009-1056-3353">0009-0009-1056-3353</externalLink>)<br /><searchLink fieldCode="AR" term="%22Bakyt+Kuanysheva%22">Bakyt Kuanysheva</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-8771-9370">0000-0002-8771-9370</externalLink>)<br /><searchLink fieldCode="AR" term="%22Indira+Dauletova%22">Indira Dauletova</searchLink> (ORCID <externalLink term="http://orcid.org/0009-0007-1263-1589">0009-0007-1263-1589</externalLink>)<br /><searchLink fieldCode="AR" term="%22Galiya+Kydyrbayeva%22">Galiya Kydyrbayeva</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-3050-1688">0000-0002-3050-1688</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tatyana+Karataeva%22">Tatyana Karataeva</searchLink> (ORCID <externalLink term="http://orcid.org/0009-0004-5415-3595">0009-0004-5415-3595</externalLink>)
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  Data: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
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  Data: 13
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Microteaching%22">Microteaching</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Effectiveness%22">Teacher Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Lesson+Plans%22">Lesson Plans</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Quality%22">Educational Quality</searchLink><br /><searchLink fieldCode="DE" term="%22Art+Education%22">Art Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Collaboration%22">Teacher Collaboration</searchLink><br /><searchLink fieldCode="DE" term="%22Art+Teachers%22">Art Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Education+Programs%22">Teacher Education Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Skills%22">Teaching Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+Universities%22">Urban Universities</searchLink>
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  Data: 2147-0901<br />2564-8020
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with quantitative data collected from two groups of pre-service visual art teachers. They partook in collaborative lesson planning: one aided by generative chatbots and the other not, both followed by microteaching activities. A comparison group adhered to a standard university curriculum. Results: Both treatment conditions, with or without conversational agent usage, significantly improved overall lesson plan quality, particularly in terms of facilitating art-related discourse. Furthermore, both experimental groups outperformed untreated subjects in overall teaching competence. Specifically, the chatbot-supported condition scored significantly higher in the instruction domain at the post-test. However, post-intervention teaching self-efficacy scores indicated a uniform decline compared to pre-existing levels, without significant intergroup variance. Conclusion: This study provides empirical support for microteaching lesson study as a potent tool to enhance specific teaching skills within visual art education, irrespective of artificial intelligence integration. Furthermore, the findings of this investigation underscore the need for continued research into the effective deployment of technology, such as generative conversational agents, in teacher training programs.
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  Data: 2025
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  Label: Accession Number
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  Data: EJ1475859
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Microteaching
        Type: general
      – SubjectFull: Teacher Effectiveness
        Type: general
      – SubjectFull: Self Efficacy
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Lesson Plans
        Type: general
      – SubjectFull: Educational Quality
        Type: general
      – SubjectFull: Art Education
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Teacher Collaboration
        Type: general
      – SubjectFull: Art Teachers
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Preservice Teachers
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      – SubjectFull: Teacher Education Programs
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      – SubjectFull: Scores
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      – SubjectFull: Student Attitudes
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      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Teaching Skills
        Type: general
      – SubjectFull: Urban Universities
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      – TitleFull: Artificial Intelligence in Microteaching Lesson Study: Enhancing Pre-Service Teachers' Confidence and Instructional Quality
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