RESEARCH ARTICLE
Exploring the Lived Experience of Graduate Students in an Introductory AI Course
Eunhye Shin1, Junghyo Jo2, Seongmo Kim2, Kongju Mun3*
1Ewha Womans University
2Seoul National University
3Dongduk Women's University
Correspondence to kongju@dongduk.ac.kr
Brain, Digital, & Learning. Volume 14, Number 4, 577–596, December 2024. https://doi.org/10.31216/BDL.20240033
Received on November 13, 2024, Revised on December 5, 2024, Accepted on December 6, 2024, Published on December 31, 2024.
Copyright © 2024. Institute of Brain based Education, Korea National University of Education This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This qualitative research examines the experiences of graduate students participating in an introductory AI course at a College of Education to enhance AI curriculum design and pedagogy. In-depth interviews with six students revealed four principal themes: various motivations, collaborative learning in diverse groups, closer to machine learning, and learning from experience. Analysis indicated the need for successful integration of AI, emphasizing the necessity of a customized curriculum that caters to diverse student backgrounds and motivations, the effective execution of collaborative projects, and the importance of connecting AI principles to real-world problems. This research enhances understanding of the qualitative aspects of AI education and supports the development of an effective AI curriculum.
Keywords
Teaching-learning AI, introductory AI course, big data, higher education, phenomenological study