Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation
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| Title: | Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation |
|---|---|
| Language: | English |
| Authors: | Christopher Dignam (ORCID |
| Source: | International Journal of Technology in Education. 2026 9(2):303-325. |
| Availability: | International Society for Technology, Education, and Science. ISTES Organization, Monument, CO 80132. e-mail: istesorganization@gmail.com; e-mail: ijteoffice@gmail.com; Web site: https://www.ijte.net/index.php/ijte/about |
| Peer Reviewed: | Y |
| Page Count: | 23 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education Early Childhood Education |
| Descriptors: | Artificial Intelligence, Coaching (Performance), Teacher Education Programs, Preservice Teachers, Instructional Leadership, Principals, Higher Education, Technology Uses in Education, Public Colleges, Administrator Education, Graduate Students, Undergraduate Students, College Faculty, Reflection, Early Childhood Education, Lesson Plans, Writing Research, Educational Improvement |
| ISSN: | 2689-2758 |
| Abstract: | The study examines how generative artificial intelligence (GenAI) functioned as a coaching partner in three education preparation courses for future teachers and educational leaders. The courses included early childhood lesson planning, research writing in teacher preparation, and school improvement planning in educational leadership. A digital autoethnographic design guided the work, relying on student reflections, AI transcripts, and faculty reflections to understand how coaching interactions shaped thinking across programs. The design enabled instructors to examine their own positionalities while interpreting the digital records of student reasoning. Students reported gains in clarity, confidence, and alignment as they revised their work with AI supports. Several students noted that reflective questioning encouraged them to explain their decisions and refine their instructional or leadership plans. Others expressed caution when AI suggestions did not match their intentions or preferred frameworks. Faculty observed that the transcripts revealed misunderstandings and areas of growth that were not visible in traditional assignments. Recommendations for educator preparation emphasize the value of introducing AI coaching after students create their own drafts, requiring documentation of prompts, modeling reflective questioning, and preserving student agency. The study offers guidance for programs seeking to integrate GenAI as a reflective partner while supporting ethical engagement and professional judgment across the licensure spectrum. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1506421 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1506421 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1506421 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Christopher+Dignam%22">Christopher Dignam</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-3185-4825">0009-0007-3185-4825</externalLink>)<br /><searchLink fieldCode="AR" term="%22Amy+L%2E+Kelly%22">Amy L. Kelly</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-2972-8655">0009-0002-2972-8655</externalLink>)<br /><searchLink fieldCode="AR" term="%22Candace+M%2E+Smith%22">Candace M. Smith</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0006-2545-6479">0009-0006-2545-6479</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Technology+in+Education%22"><i>International Journal of Technology in Education</i></searchLink>. 2026 9(2):303-325. – Name: Avail Label: Availability Group: Avail Data: International Society for Technology, Education, and Science. ISTES Organization, Monument, CO 80132. e-mail: istesorganization@gmail.com; e-mail: ijteoffice@gmail.com; Web site: https://www.ijte.net/index.php/ijte/about – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 23 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – 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="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Coaching+%28Performance%29%22">Coaching (Performance)</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Education+Programs%22">Teacher Education Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Leadership%22">Instructional Leadership</searchLink><br /><searchLink fieldCode="DE" term="%22Principals%22">Principals</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Colleges%22">Public Colleges</searchLink><br /><searchLink fieldCode="DE" term="%22Administrator+Education%22">Administrator Education</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22Reflection%22">Reflection</searchLink><br /><searchLink fieldCode="DE" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink><br /><searchLink fieldCode="DE" term="%22Lesson+Plans%22">Lesson Plans</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Research%22">Writing Research</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Improvement%22">Educational Improvement</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2689-2758 – Name: Abstract Label: Abstract Group: Ab Data: The study examines how generative artificial intelligence (GenAI) functioned as a coaching partner in three education preparation courses for future teachers and educational leaders. The courses included early childhood lesson planning, research writing in teacher preparation, and school improvement planning in educational leadership. A digital autoethnographic design guided the work, relying on student reflections, AI transcripts, and faculty reflections to understand how coaching interactions shaped thinking across programs. The design enabled instructors to examine their own positionalities while interpreting the digital records of student reasoning. Students reported gains in clarity, confidence, and alignment as they revised their work with AI supports. Several students noted that reflective questioning encouraged them to explain their decisions and refine their instructional or leadership plans. Others expressed caution when AI suggestions did not match their intentions or preferred frameworks. Faculty observed that the transcripts revealed misunderstandings and areas of growth that were not visible in traditional assignments. Recommendations for educator preparation emphasize the value of introducing AI coaching after students create their own drafts, requiring documentation of prompts, modeling reflective questioning, and preserving student agency. The study offers guidance for programs seeking to integrate GenAI as a reflective partner while supporting ethical engagement and professional judgment across the licensure spectrum. – 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: EJ1506421 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1506421 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 303 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Coaching (Performance) Type: general – SubjectFull: Teacher Education Programs Type: general – SubjectFull: Preservice Teachers Type: general – SubjectFull: Instructional Leadership Type: general – SubjectFull: Principals Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Public Colleges Type: general – SubjectFull: Administrator Education Type: general – SubjectFull: Graduate Students Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: College Faculty Type: general – SubjectFull: Reflection Type: general – SubjectFull: Early Childhood Education Type: general – SubjectFull: Lesson Plans Type: general – SubjectFull: Writing Research Type: general – SubjectFull: Educational Improvement Type: general Titles: – TitleFull: Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Christopher Dignam – PersonEntity: Name: NameFull: Amy L. Kelly – PersonEntity: Name: NameFull: Candace M. Smith IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2689-2758 Numbering: – Type: volume Value: 9 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Technology in Education Type: main |
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