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Enhancing STEM Collaboration through Reflective Strategies in the 6E Learning Model: Insights from Voice Recognition Analysis
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Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
In STEM hands-on learning activities, collaboration with group members can be a significant motivator for students' engagement. This research is based on the 6E Learning by DeSIGN™ model and explores the impact of incorporating reflective strategies on students' learning performance, motivation, and participation in collaborative STEM learning…
Descriptors: STEM Education, Reflection, Assistive Technology, Recognition (Psychology)
The Relationship between Inert Thinking and ChatGPT Dependence: An I-PACE Model Perspective
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Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Integrating 4C/ID Model into Computer-Supported Formative Assessment System to Improve the Effectiveness of Complex Skills Training for Vocational Education
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
The Role of EFL Learners' L2 Self-Identities, and Authenticity Gap on Their Intention to Continue LMOOCs: Insights from an Exploratory Partial Least Approach
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Amir Reza Rahimi – Computer Assisted Language Learning, 2025
A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs