ERIC Number: EJ1462095
Record Type: Journal
Publication Date: 2025
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2472-5889
Available Date: 0000-00-00
Dissertation 2.0: An Action Research Study on Adapting with AI
Vassa Grichko; Betsy Schamber; Kari Termansen; David Barker; Shanice Hall; David Swank; Erin Lehmann
Impacting Education: Journal on Transforming Professional Practice, v10 n1 p33-41 2025
Universal guidelines for AI's use in the context of higher education remains unestablished. Despite this, doctoral students utilized AI to help in forming research ideas and with editing manuscripts. Thereby, the socialization of doctoral students into ethical AI use became imperative. This action research study had faculty and EdD students test AI tools to then make recommendations for guidelines on AI use for dissertation writing. Results showed AI use needed to be made clear and transparent alongside adopting a flexible approach to AI incorporation, given factors such as differing journal requirements. Furthermore, as doctoral students constituted novice researchers, they needed to realize that they would be responsible for AI's output. Keeping the doctoral identity at the forefront was core to advising doctoral students into the new era of responsible research.
Descriptors: Artificial Intelligence, Ethics, Guidelines, Doctoral Dissertations, Doctoral Students, Academic Language, Research and Development, Student Research
University Library System, University of Pittsburgh. 3960 Forbes Avenue, Pittsburgh, PA 15260. Tel: 302-831-1266; 302-831-4441; e-mail: dpjournal@pitt.edu; Web site: https://impactinged.pitt.edu/ojs/ImpactingEd
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
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