ERIC Number: EJ1464857
Record Type: Journal
Publication Date: 2025
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1925-7147
Available Date: 0000-00-00
Applying Interview-Research Methods Using Generative AI Technology: An Action Research Study with Graduate Students in Mock Research Teams
Barbara Brown; Soroush Sabbaghan
Canadian Journal of Action Research, v25 n1 p53-70 2025
In this study, we aimed to examine graduate students' experience when working with peers to complete a learning task focused on conducting a program evaluation in a qualitative research course. A generative artificial intelligence (GenAI)-powered platform was incorporated to support an experiential learning activity designed by the instructor-researcher. A collaborative action research approach was employed through the planning, enactment, and reflective phases of the study wherein four graduate students who engaged with the platform were interviewed to help improve the next iteration of the learning activity in future courses. This study contributes to the pedagogical discourse about the use of experiential learning for teaching and learning qualitative research methods.
Descriptors: Artificial Intelligence, Interviews, Research Methodology, Graduate Students, Student Experience, Experiential Learning, Simulation, Research Skills, Technology Uses in Education, Foreign Countries
Canadian Association for Action Research in Education. 260 Dalhousie Street Suite 204, Ottawa, ON KIN 7E4, Canada. Tel: 705-474-3450; Fax: 705-474-1947; e-mail: cjar@nipissingu.ca; Web site: http://journals.nipissingu.ca/index.php/cjar/issue/archive
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada
Grant or Contract Numbers: N/A
Author Affiliations: N/A