Unpacking perceived risks and AI trust influences pre-service teachers’ AI acceptance: A structural equation modeling-based multi-group analysis

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: July 27, 2024

Language: Английский

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Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms

Published: Feb. 21, 2025

Language: Английский

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Evaluating the use of BERT and Llama to analyse classroom dialogue for teachers' learning of dialogic pedagogy

British Journal of Educational Technology, Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Abstract Classroom dialogue is crucial for effective teaching and learning, prompting many professional development (PD) programs to focus on dialogic pedagogy. Traditionally, these rely manual analysis of classroom practices, which limits timely feedback teachers. To address this, artificial intelligence (AI) has been employed rapid analysis. However, practical applications AI models remain limited, often prioritising state‐of‐the‐art performance over educational impact. This study explores whether higher accuracy in correlates with better outcomes. We evaluated the two language models—BERT Llama3—in assessed impact their differences teachers' learning within a PD program. By fine‐tuning BERT engineering prompts Llama3, we found that exhibited substantially analysing moves. Sixty preservice teachers were randomly assigned either or Llama3 group, both participating workshop academically productive talk (APT) framework. The group utilized fine‐tuned model facilitate while model. Statistical showed significant improvements groups' knowledge motivation learn APT framework, high levels satisfaction reported. Notably, no between groups posttest knowledge, motivation, satisfaction. Interviews further elucidated how facilitated validates use teacher training among first investigate relationship Practitioner notes What already known about this topic Given significance dialogue, programmes have implemented focusing provide teachers, techniques are increasingly utilised dialogue. small proportion studies investigated impacts practice, predominant pursuing performance. It unclear more accurate necessarily lead positive paper adds AI‐powered models, move through prompt engineering. significantly than Llama3. Through an experimental study, revealed using less substantial framework reported difference did not cause during Implications Practice and/or Policy Deep large can be integrated into effectively moderate also produce impressive outcomes satisfactory experience. In some scenarios, manner collaborate may pivotal AI's accuracy.

Language: Английский

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How Does AI Affect College? The Impact of AI Usage in College Teaching on Students’ Innovative Behavior and Well-Being

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 1223 - 1223

Published: Dec. 19, 2024

Currently, there is a growing trend for college and university teachers to use AI in their teaching work. However, existing research explores the impact of teachers’ usage workplace on students. Based resource preservation theory, this study examined mechanism students’ innovative behavior well-being with sample 356 students from Zhejiang Province. The found that significantly positively affected well-being, positive emotion playing mediating role. Students’ trust not only moderated effect emotion, but also role emotion. findings have important implications instructional management practice.

Language: Английский

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From Traditional to Technological

Advances in educational marketing, administration, and leadership book series, Journal Year: 2024, Volume and Issue: unknown, P. 79 - 108

Published: Dec. 27, 2024

In the age of rapid technological advancement, artificial intelligence (AI) has begun to play a transformative role in various sectors, including education. This chapter, “The Evolving Role Teachers AI-Powered Classroom,” explores how AI technologies are reshaping educational landscape and teachers. chapter begin with an overview education, we then provide historical context, tracing evolution teaching methods technology, impact early technologies. The examines current state education along benefits challenges they bring classroom. Ethical considerations will also be addressed, privacy concerns, equity access issues, critical teachers advocating for ethical use. Through case studies AI-powered classrooms, offer insights from educators students, sharing lessons learned these implementations.

Language: Английский

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Overview of Artificial Intelligence Applications in Educational Research

Published: Sept. 6, 2024

Language: Английский

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