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Jiangping Chen; Chin-Hsi Lin; Gaowei Chen – Education and Information Technologies, 2024
Most studies have explored how information and communication technology (ICT) factors impact adolescents' schooling, but often ignore the potential influences on their well-being; no research has further scrutinized the moderating role of self-regulated learning (SRL) as a multi-dimensional combination, that is, different types of SRL learners.…
Descriptors: Self Management, Adolescents, Educational Technology, Information Technology
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Liru Hu; Gaowei Chen; Jiajun Wu – Journal of Computer Assisted Learning, 2024
Background: The existing research on dialogue-based learning and teaching predominantly highlights its capacity to yield productive educational outcomes, yet it often overlooks the pivotal factor of participation equity, which is fundamental to ensuring the efficacy of dialogic teaching and learning. Objectives: In this study, participation equity…
Descriptors: Problem Solving, Participation, Equal Education, Student Participation
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Yuyao Tong; Chao Yang; Pengjin Wang; Gaowei Chen – Interactive Learning Environments, 2024
This study examined fostering low-achieving students' epistemic understanding of discourse in knowledge building classrooms using video-based visual learning analytics. The participants were two Grade 9 visual arts classes of low-achieving students. The experimental class (n = 33) engaged in a knowledge building classroom supported by video-based…
Descriptors: Low Achievement, Epistemology, Video Technology, Technology Uses in Education
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Deliang Wang; Yaqian Zheng; Gaowei Chen – Educational Technology & Society, 2024
This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…
Descriptors: Artificial Intelligence, Preservice Teachers, Models, Teaching Methods
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Deliang Wang; Gaowei Chen – IEEE Transactions on Education, 2024
Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…
Descriptors: Artificial Intelligence, STEM Education, Learning Processes, Technology Uses in Education
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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
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Pengjin Wang; Yuyao Tong; Chao Yang; Gaowei Chen – Educational Technology & Society, 2024
During the COVID-19 pandemic, many online lessons for emergency remote teaching (ERT) were recorded. However, little is known about how these recordings can be reused as resources for students' active learning. This study aimed to design a post-video learning approach that uses recorded videos of lessons to remediate students' learning losses…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses