Using ChatGPT to Enhance Experiential Learning of College Students

dc.contributor.author Sun, Rui
dc.contributor.author Deng, Xuefei
dc.date.accessioned 2023-12-26T18:35:48Z
dc.date.available 2023-12-26T18:35:48Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 1381d9c3-da96-4495-a72f-aa1610b420d0
dc.identifier.uri https://hdl.handle.net/10125/106384
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Teaching and Learning Technologies
dc.subject bloom’s taxonomy
dc.subject chatgpt
dc.subject cognitive process
dc.subject experiential learning
dc.subject knowledge type
dc.title Using ChatGPT to Enhance Experiential Learning of College Students
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract This paper examines college students’ perceptions and experiences of using ChatGPT to enhance their experiential learning. We designed a ChatGPT learning activity flow that corresponds to the four experiential learning steps: Experiencing – Reflecting – Thinking – Acting. Analysis of survey data collected from 39 students in a U.S. public university revealed that, under the guidance of the instructors, students learned to use ChatGPT to explore questions of various knowledge types at different cognitive processes. The findings suggest that the knowledge type of student-created prompts for ChatGPT and associated cognitive process depend on those of the first prompt provided by their instructors. Although students are generally satisfied with the quality of the ChatGPT-generated information, some students raised concerns about ChatGPT output. The study contributes to the literature on experiential learning and Bloom’s Taxonomy and offers practical implications to educators and students on using generative artificial intelligence to achieve effective teaching and learning.
dcterms.extent 10 pages
prism.startingpage 64
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