Enhancing Lesson Study with Generative AI Powered TEAM Model Platform
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| Title: | Enhancing Lesson Study with Generative AI Powered TEAM Model Platform |
|---|---|
| Language: | English |
| Authors: | Jen-Kai Liang, Power Wu, Su-Chiu Tseng, Oskar Ku (ORCID |
| Source: | International Journal for Lesson and Learning Studies. 2025 14(3):197-214. |
| Availability: | Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Elementary Education |
| Descriptors: | Faculty Development, Communities of Practice, Artificial Intelligence, Technology Uses in Education, Teacher Collaboration, Reflection, Program Effectiveness, Barriers, Elementary School Teachers, Foreign Countries |
| Geographic Terms: | Taiwan |
| DOI: | 10.1108/IJLLS-11-2024-0276 |
| ISSN: | 2046-8253 |
| Abstract: | Purpose: This paper investigates the integration of generative AI into lesson study using the TEAM Model platform to enhance teacher professional development. It explores how AI supports the study, plan, teach and reflect phases by improving efficiency, fostering collaboration and enriching reflective practices. Design/methodology/approach: This study adopts a qualitative case study design and involves six teachers, using the TEAM Model platform to facilitate lesson study cycles. Data were collected via automated observations, interviews and focus group discussions. Findings: Generative AI enhanced lesson study by improving efficiency, supporting teachers in planning and enriching reflection and debriefing with actionable insights. However, challenges including over-reliance on AI and generic responses are identified, highlighting the need for balanced integration of generative AI tools. Originality/value: This study examines the integration of generative AI into lesson study, focusing on its impact across all phases and its potential to address traditional challenges while fostering teacher professional development. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1493221 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1493221 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Lesson Study with Generative AI Powered TEAM Model Platform – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jen-Kai+Liang%22">Jen-Kai Liang</searchLink><br /><searchLink fieldCode="AR" term="%22Power+Wu%22">Power Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Su-Chiu+Tseng%22">Su-Chiu Tseng</searchLink><br /><searchLink fieldCode="AR" term="%22Oskar+Ku%22">Oskar Ku</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-1503-0425">0009-0009-1503-0425</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Journal+for+Lesson+and+Learning+Studies%22"><i>International Journal for Lesson and Learning Studies</i></searchLink>. 2025 14(3):197-214. – Name: Avail Label: Availability Group: Avail Data: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 18 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Faculty+Development%22">Faculty Development</searchLink><br /><searchLink fieldCode="DE" term="%22Communities+of+Practice%22">Communities of Practice</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Collaboration%22">Teacher Collaboration</searchLink><br /><searchLink fieldCode="DE" term="%22Reflection%22">Reflection</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Teachers%22">Elementary School Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Taiwan%22">Taiwan</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1108/IJLLS-11-2024-0276 – Name: ISSN Label: ISSN Group: ISSN Data: 2046-8253 – Name: Abstract Label: Abstract Group: Ab Data: Purpose: This paper investigates the integration of generative AI into lesson study using the TEAM Model platform to enhance teacher professional development. It explores how AI supports the study, plan, teach and reflect phases by improving efficiency, fostering collaboration and enriching reflective practices. Design/methodology/approach: This study adopts a qualitative case study design and involves six teachers, using the TEAM Model platform to facilitate lesson study cycles. Data were collected via automated observations, interviews and focus group discussions. Findings: Generative AI enhanced lesson study by improving efficiency, supporting teachers in planning and enriching reflection and debriefing with actionable insights. However, challenges including over-reliance on AI and generic responses are identified, highlighting the need for balanced integration of generative AI tools. Originality/value: This study examines the integration of generative AI into lesson study, focusing on its impact across all phases and its potential to address traditional challenges while fostering teacher professional development. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1493221 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1493221 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/IJLLS-11-2024-0276 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 197 Subjects: – SubjectFull: Faculty Development Type: general – SubjectFull: Communities of Practice Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Teacher Collaboration Type: general – SubjectFull: Reflection Type: general – SubjectFull: Program Effectiveness Type: general – SubjectFull: Barriers Type: general – SubjectFull: Elementary School Teachers Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Taiwan Type: general Titles: – TitleFull: Enhancing Lesson Study with Generative AI Powered TEAM Model Platform Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jen-Kai Liang – PersonEntity: Name: NameFull: Power Wu – PersonEntity: Name: NameFull: Su-Chiu Tseng – PersonEntity: Name: NameFull: Oskar Ku IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2046-8253 Numbering: – Type: volume Value: 14 – Type: issue Value: 3 Titles: – TitleFull: International Journal for Lesson and Learning Studies Type: main |
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