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The Mediating Effect of AI Trust on AI Self-Efficacy and Attitude Toward AI of College Students
This quantitative study investigated the mediating effect of AI trust on the relationship between AI self-efficacy and attitude toward AI of college students in Region XI, Philippines. Using adapted questionnaires, the data were gathered online via Google Forms, where the respondents were selected using stratified random sampling.
Brandon N Obenza +9 more
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The Impact of AI on Learners’ Self-Efficacy: A Meta-Analysis
With the rise of generative artificial intelligence, the application of AI in learning environments has received widespread attention. Although empirical studies have explored the effect of AI on self-efficacy, the results have not been consistent. This study conducted a meta-analysis on the results from 23 empirical studies on the impact of AI use on ...
Liling Ren, Jason M. Stephens, Kerry Lee
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Exploring the Effects of Generative AI Assistance on Writing Self-efficacy
Generative AI (GenAI) is increasingly used in academic writing, yet its effects on students' writing self-efficacy remain contingent on how assistance is configured. This pilot study investigates how ideation-level, sentence-level, full-process, and no AI support differentially shape undergraduate writers' self-efficacy using a 2 by 2 experimental ...
Yejoon Song +3 more
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Influence of AI Anxiety on AI Self-Efficacy Among College Students
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 ...
Michael Generalo Albino +3 more
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Attitudes, perceptions and AI self-efficacy in K-12 education
Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate ...
Nina Bergdahl, Jeanette Sjöberg
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The Impact of Generative AI on College Students Self-Efficacy
With the rapid development of AIGC (Artificial Intelligence Generated Content) technology in the field of education, its impact on students’ learning experience and cognitive development has garnered increasing attention. This study adopts quantitative research methods such as questionnaire surveys, targeting college students as the research ...
Bo Li, Yanyan Li
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AI self-efficacy and anxiety among university teachers
Abstract With the rapid integration of AI into higher education, teachers’ psychological responses are critical for technology adoption. This study examines AI self-efficacy and AI anxiety among university teachers in a Chinese university.
Houyu Wu, Eng Hoe Wee
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Developing and validating an AI-supported teaching applications’ self-efficacy scale
This study was to construct and verify a teacher Artificial Intelligence (AI) supported teaching applications self-efficacy (AIS-TASE) measurement to examine reliability and validity and to explore the relationship between teachers' AIS-TASE and behaviour. There were 1456 high school teachers from 45 schools.
Chun-Mei Chou +3 more
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Trust and acceptance of AI caregiving robots: The role of ethics and self-efficacy
As AI technology rapidly advances, ethical concerns have emerged as a global focus. This study introduces a second-order scale for analyzing AI ethics and proposes a model to examine the intention to use AI caregiving robots. The model incorporates elements from the Unified Theory of Acceptance and Use of Technology (UTAUT)—including social influence ...
Cathy S. Lin +2 more
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Purpose: In the era of digital transformation, employee–artificial intelligence (AI) collaboration has become an increasingly important work pattern. However, its impact on employees’ innovative behavior remains unclear. Drawing on the social cognitive framework, this study aims to examine how employee–AI collaboration influences employees’ innovative ...
Yue Zhou, Bei Lyu
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