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Generative AI Usage among University Students Depends on Academic Level and Task

Title: Generative AI Usage among University Students Depends on Academic Level and Task
Language: English
Authors: Karen Singer-Freeman (ORCID 0000-0001-5365-9667); Kristi Verbeke (ORCID 0000-0003-3132-5468); Betsy Barre (ORCID 0009-0009-1116-6712)
Source: Higher Learning Research Communications. 2025 15(2).
Availability: Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/
Peer Reviewed: Y
Page Count: 25
Publication Date: 2025
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Undergraduate Students; Graduate Students; Educational Technology; Educational Policy; Technology Uses in Education; Student Attitudes; Integrity; Age Differences; Anxiety; Artificial Intelligence; Man Machine Systems; Natural Language Processing
ISSN: 2157-6254
Abstract: Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at a highly selective private university in the United States. Results: We found that all students desire institutional AI policies and are concerned about the negative consequences of AI use by themselves and others. There was some evidence of the use of AI in ways that might violate academic integrity. Students' usage patterns reveal more frequent use of AI to support studying and preparation, with less frequent use to support writing, data processing, and graphic creation. Notably, we found interesting differences between students of different academic stages. First-year students were generally more conservative and anxious about AI use, whereas seniors and graduate students more frequently viewed AI as a beneficial tool for managing complex tasks and enhancing productivity. Conclusions: We discuss implications of our findings for future research and for the effective education of students from different academic stages.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1483790
Database: ERIC