From anxiety to action: exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students DOI
Chen Chen, Wei Hu, Xiaomin Wei

et al.

Interactive Learning Environments, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 17, 2024

The rapid development of artificial intelligence (AI) technology, while empowering higher education, has also introduced anxiety and stress among university students. This study examines the impact AI on motivated learning moderating role self-efficacy. Data were collected from 387 valid questionnaires at a in China, hypotheses analyzed using SPSS 25.0 PROCESS plug-in. results indicate that anxiety, encompassing dimensions learning, configuration, job replacement, sociotechnical blindness, positive self-efficacy positively moderates relationship between learning. Specifically, enhances effect contributes to existing literature offers insights for application education practice.

Language: Английский

Study of an effective machine learning-integrated science curriculum for high school youth in an informal learning setting DOI Creative Commons
Gabrielle S. Rabinowitz, Katherine S. Moore, Safinah Ali

et al.

International Journal of STEM Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 19, 2025

Language: Английский

Citations

0
AI in higher education: Booster or stumbling block for developing digital competence? DOI Creative Commons
Petko Maznev,

Cathleen M. Stützer,

Stephanie Gaaw

et al.

Zeitschrift für Hochschulentwicklung, Journal Year: 2024, Volume and Issue: 19(1)

Published: March 28, 2024

Since the Artificial intelligence (AI) revolution catalyzed by ChatGPT, discourse of students’ digital competence has become prevalent in German higher education institutions (HEIs). While educators recognize potential for using AI education, concerns persist about students needing more necessary skills. This paper presents findings from a comprehensive lecturer survey that provides insights into educators’ perspectives on opportunities and challenges associated with integration HEIs. Furthermore, it addresses conditions required successful implementation HEIs to promote, rather than hinder, future

Language: Английский

Citations

3
Effectiveness of a professional development program based on the instructional design framework for AI literacy in developing AI literacy skills among pre-service teachers DOI
Bilal Younis

Journal of Digital Learning in Teacher Education, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: June 13, 2024

Language: Английский

Citations

3
Discourse analysis on experience-based position of science, mathematics, and Tech-Voc educators on generative AI and academic integrity DOI Open Access

Mercibelle A. Del Mundo,

Erwin F. Delos Reyes,

Ellen M. Gervacio

et al.

Environment and Social Psychology, Journal Year: 2024, Volume and Issue: 9(8)

Published: Aug. 26, 2024

Artificial Intelligence (AI) could encourage simulation of human intelligence in machines that are programmed to perform tasks typically require intelligence. These include reasoning, learning, problem-solving, perception, understanding natural language, and even decision-making. Previous studies noted the importance assessing use technology education considering its potential implications student’s learning development processes. Hence, this study explored AI particularly science, mathematics, technical-vocational education. Educators (n=20) were purposively sampled be interviewed about their experiences using classrooms. The findings suggested a positive perception generative among educators, with many acknowledging enhance educational practices outcomes especially aiding science concepts, facilitating analytical skills development, personalizing experiences. However, alongside perceptions, educators expressed concerns drawbacks associated included risk overreliance, plagiarism, inaccuracies AI-generated content. To mitigate these negative impacts, emphasized implementing effective policies guidelines for classrooms such as guiding students on ethical use, ensuring transparency tool usage, establishing clear instructions utilization. Transparency emerged key theme, emphasizing need regarding students' outputs extent use. This calls further analysis level acceptance assess impacts students’ short-term long-term outcomes.

Language: Английский

Citations

2
From anxiety to action: exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students DOI
Chen Chen, Wei Hu, Xiaomin Wei

et al.

Interactive Learning Environments, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 17, 2024

The rapid development of artificial intelligence (AI) technology, while empowering higher education, has also introduced anxiety and stress among university students. This study examines the impact AI on motivated learning moderating role self-efficacy. Data were collected from 387 valid questionnaires at a in China, hypotheses analyzed using SPSS 25.0 PROCESS plug-in. results indicate that anxiety, encompassing dimensions learning, configuration, job replacement, sociotechnical blindness, positive self-efficacy positively moderates relationship between learning. Specifically, enhances effect contributes to existing literature offers insights for application education practice.

Language: Английский

Citations

2