Résumés
Abstract
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.
Keywords:
- Experiential learning,
- Higher education pedagogy,
- Research-interview skills,
- Research methods pedagogy,
- Research-skill development
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Biographical notes
Dr. Barbara Brown is an Associate Professor and Associate Dean of Teaching and Learning at the Werklund School of Education, University of Calgary. Her research explores technology-enhanced teaching and learning innovations, participatory pedagogies, and experiential learning environments. Through extensive research partnerships, professional learning initiatives, and collaborative instructional design projects, she examines how learning environments shape teaching and learning practices. Grounded in action research, design-based research, and case study methodologies, her work advances inclusive and future-ready learning environments.
Dr. Soroush Sabbaghan is an Associate Professor and Director of Equity, Diversity, and Inclusion at the Werklund School of Education, University of Calgary. His research examines the intersection of artificial intelligence and education, emphasizing inclusive pedagogy, generative AI literacy, and human-centred design. He develops AI-powered applications to assist educators in curriculum design and material development while supporting students in honing research skills and enhancing academic writing. His work also explores the ethical and practical implications of AI in higher education. Through active collaboration with educators, policymakers, and researchers, he advocates for the responsible and equitable integration of AI in teaching and learning.
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