Evaluating the performance of ChatGPT and GPT-4o in coding classroom discourse data: A study of synchronous online mathematics instruction DOI Creative Commons
Simin Xu, Xiaowei Huang, Chung Kwan Lo

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100325 - 100325

Опубликована: Окт. 1, 2024

Язык: Английский

Teacher-student interaction in an intelligent education environment: the impact of teachers’ discourse on students’ depth of thinking in information technology courses DOI
Ying Yang,

Xiaojun Guo,

Zhizhong Xing

и другие.

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0

Evaluating the use of BERT and Llama to analyse classroom dialogue for teachers' learning of dialogic pedagogy DOI Creative Commons
Deliang Wang, Gaowei Chen

British Journal of Educational Technology, Год журнала: 2025, Номер unknown

Опубликована: Май 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.

Язык: Английский

Процитировано

0

Partnering with AI in teacher education? Using an automatic question detection tool to reflect on classroom interaction DOI Creative Commons
Olcay Sert

Journal of Research on Technology in Education, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Май 19, 2025

Язык: Английский

Процитировано

0

Evaluating the performance of ChatGPT and GPT-4o in coding classroom discourse data: A study of synchronous online mathematics instruction DOI Creative Commons
Simin Xu, Xiaowei Huang, Chung Kwan Lo

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100325 - 100325

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2