Using Generative AI to Enhance Experiential Learning: An Exploratory Study of ChatGPT Use by University Students

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Publicado en:Journal of Information Systems Education vol. 36, no. 1 (Winter 2025), p. 53
Autor principal: Sun, Rui
Otros Autores: Deng, Xuefei "Nancy"
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EDSIG
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100 1 |a Sun, Rui  |u College of Business Administration & Public Policy California State University, Dominguez Hills Carson, CA 90747, USA 
245 1 |a Using Generative AI to Enhance Experiential Learning: An Exploratory Study of ChatGPT Use by University Students 
260 |b EDSIG  |c Winter 2025 
513 |a Journal Article 
520 3 |a This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAl) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from 70 students in a business college at a public university in the United States revealed that, under the guidance of the instructors, students learned to interact with ChatGPT through two prompts. Quantitative analysis suggested that the knowledge type and the associated cognitive process of studentcreated prompts depended on those of the prompt provided by their instructor, controlled by students' prior ChatGPT experience. In addition, qualitative data analysis revealed that students considered the GenAl tool helpful with their learning tasks and were satisfied with the content generated by ChatGPT. However, some students raised concerns about ChatGPT output involving metacognitive knowledge. Three themes emerged regardless of students' prior ChatGPT experience, but some subtle differences were observed. Our findings extend the literature on experiential learning and Bloom's taxonomy in the context of adopting GenAI in higher education. The study also contributes to Information Systems education by revealing challenges, offering suggestions, and proposing principles for GenAl-assisted learning. The paper concludes with suggestions for future research and policy making. 
651 4 |a United States--US 
653 |a Problem solving 
653 |a Information systems 
653 |a Blooms taxonomy 
653 |a Taxonomy 
653 |a University students 
653 |a Prompt engineering 
653 |a Learning activities 
653 |a Cognitive tasks 
653 |a Teachers 
653 |a Technology 
653 |a Chatbots 
653 |a Cognition & reasoning 
653 |a Colleges & universities 
653 |a Data analysis 
653 |a Qualitative analysis 
653 |a Education 
653 |a Knowledge 
653 |a Critical thinking 
653 |a Higher education 
653 |a Student attitudes 
653 |a Generative artificial intelligence 
653 |a Students 
653 |a Skills 
653 |a Machine learning 
653 |a Experiential learning 
653 |a Quantitative analysis 
653 |a Classification 
653 |a Perceptions 
653 |a College students 
653 |a Policy making 
653 |a Metacognition 
653 |a Artificial intelligence 
653 |a Human-computer interaction 
653 |a Learning 
653 |a Cognition 
653 |a Educational systems 
653 |a Educational activities 
653 |a Business students 
653 |a Information technology 
653 |a Educational Research 
653 |a Cognitive Processes 
653 |a Natural Language Processing 
653 |a Formative Evaluation 
653 |a Language Processing 
653 |a Learner Engagement 
653 |a Language Skills 
653 |a Educational Resources 
653 |a Influence of Technology 
653 |a Creative Thinking 
653 |a Learning Processes 
653 |a Computers 
653 |a Educational Technology 
653 |a Student Experience 
653 |a Instructional Materials 
653 |a Educational Change 
653 |a Expectation 
653 |a Individual Needs 
700 1 |a Deng, Xuefei "Nancy"  |u College of Business Administration & Public Policy California State University, Dominguez Hills Carson, CA 90747, USA 
773 0 |t Journal of Information Systems Education  |g vol. 36, no. 1 (Winter 2025), p. 53 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3174478646/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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