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Exploring the Impact of AI Anxiety on First-Year University Students’ Data Science Education

Year: 2025

Type: conference-paper

Abstract: As university students have begun to use generative AI daily, their anxiety and attitudes toward AI have changed. Anxiety and attitude toward the learning object may be factors that prevent students from being motivated to learn. This study explores the impact of AI anxiety on first-year university students' willingness to learn and satisfaction with their

Source: IAFOR International Conference on Education, official conference proceedings

DOI: 10.22492/issn.2189-1036.2025.27

Authors: Yuko Murakami, Tomohiro Inagaki

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4409391651

FWCI: 1.215

Cites:

Cited by: 1

Related to: 10