Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation

Saved in:
Bibliographic Details
Title: Coaching the Coach: A Digital Autoethnography of Generative AI in Teacher and Leadership Preparation
Language: English
Authors: Christopher Dignam (ORCID 0009-0007-3185-4825), Amy L. Kelly (ORCID 0009-0002-2972-8655), Candace M. Smith (ORCID 0009-0006-2545-6479)
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
Header DbId: eric
DbLabel: ERIC
An: EJ1506421
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1