Exploring STEAM teachers’ trust in AI-based educational technologies: a structural equation modelling approach

Discover Education, Journal Year: 2024, Volume and Issue: 3(1)

Published: April 26, 2024

Abstract In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with potential to revolutionize teaching and learning processes. However, successful integration AI in education depends on trust acceptance teachers. This study addresses significant gap research by investigating dynamics 677 in-service Science, Technology, Engineering, Arts, Mathematics (STEAM) teachers Nigeria towards AI-based educational technologies. Employing structural equation modelling for data analysis, our findings reveal that anxiety, preferred methods increase trust, perceived benefits significantly influence teachers' edtech. Notably, lack human characteristics does not impact among STEAM Additionally, reports gender moderation effect AI. These insights are valuable policymakers stakeholders aiming create an inclusive, AI-enriched instructional environment. The results underscore importance continuous professional development programs teachers, emphasizing hands-on experiences build sustain confidence integrating tools effectively, thus fostering potentials education.

Language: Английский

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Artificial Intelligence Supporting Independent Student Learning: An Evaluative Case Study of ChatGPT and Learning to Code

Education Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 120 - 120

Published: Jan. 24, 2024

Artificial intelligence (AI) tools like ChatGPT demonstrate the potential to support personalized and adaptive learning experiences. This study explores how can facilitate self-regulated processes computer programming. An evaluative case design guided investigation of ChatGPT’s capabilities aid independent learning. Prompts mapped elicited across tools: instructional materials, content tools, assessments, planning. Overall, provided comprehensive, tailored guidance on programming concepts practices. It consolidated multimodal information sources into integrated explanations with examples. also effectively assisted planning by generating detailed schedules. However, its interactivity assessment functionality demonstrated shortcomings. effectiveness relies learners’ metacognitive skills seek help assess limitations. The implications include provide Bloom’s two-sigma tutoring benefit at scale.

Language: Английский

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Gen-AI integration in higher education: Predicting intentions using SEM-ANN approach

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(13), P. 17169 - 17209

Published: Feb. 21, 2024

Language: Английский

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Incorporating AIGC into design ideation: A study on self-efficacy and learning experience acceptance under higher-order thinking

Thinking Skills and Creativity, Journal Year: 2024, Volume and Issue: 52, P. 101508 - 101508

Published: March 14, 2024

Language: Английский

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Generative artificial intelligence (AI) in higher education: a comprehensive review of challenges, opportunities, and implications

Journal of Learning Development in Higher Education, Journal Year: 2024, Volume and Issue: 30

Published: March 27, 2024

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm higher education. Through review academic literature, this highlights unprecedented growth these models their wide-reaching impact across various sectors. The discussion sheds light complex issues potential benefits presented by LLMs, providing overview field's current state. In context education, challenges opportunities posed LLMs. These include related to educational assessment, threats integrity, privacy concerns, propagation misinformation, EDI aspects, copyright concerns inherent biases models. While are multifaceted significant, emphasizes availability strategies address them effectively facilitate successful adoption LLMs in settings. Furthermore, recognises transform It emphasises need update assessment policies, develop guidelines for staff students, scaffold AI skills development, find ways leverage technology classroom. By proactively pursuing steps, education institutions (HEIs) can harness full while managing responsibly. conclusion, urges HEIs allocate resources handle effectively. includes ensuring readiness taking steps modify study programmes align evolving landscape influenced emerging technologies.

Language: Английский

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