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International Journal of Technology in Education
Article . 2025 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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Influence of AI Anxiety on AI Self-Efficacy Among College Students

Authors: Michael Generalo Albino; Femia Solomon Albino; John Mark R Asio; Ediric D Gadia;

Influence of AI Anxiety on AI Self-Efficacy Among College Students

Abstract

Technology has contributed so much to the development and innovation of humankind. Artificial Intelligence (AI) is an off-shoot of such. This article explored the influence of AI anxiety on AI self-efficacy among college students. The investigators used a cross-sectional research design for 695 purposively chosen college students in one higher education institution in Olongapo City, Philippines. The study used two scales to determine the students' AI anxiety and self-efficacy. The gathered data underwent descriptive and inferential analysis with the help of SPSS 23 software. The results showed that the AI anxiety levels of the students in general were moderate; however, in terms of job replacement and sociotechnical blindness, it was high. The students also have a moderate level of AI self-efficacy. There were also significant differences and relationships observed in the analysis as well. Lastly, learning and AI configurations came out as predictors that influence the AI self-efficacy of college students. The investigators suggested some recommendations at the end of this article.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold