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Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
Zheng, Lanqin; Long, Miaolang; Niu, Jiayu; Zhong, Lu – International Journal of Computer-Supported Collaborative Learning, 2023
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated group learning engagement via deep neural network models in a computer-supported collaborative…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Automation
Lishan Zhang; Lili Liu; Shuwen Wang; Min Xu; Sixv Zhang; Yun Tang – Journal of Computer Assisted Learning, 2025
Background: Collaborative reading can facilitate students' understanding of complex learning materials. High-quality annotations provided by peer learners are essential for successful collaborative reading. However, it remains to be understood how annotation quality affects reading comprehension. Objectives: A simulated collaborative reading…
Descriptors: Educational Quality, Documentation, Reading Processes, Eye Movements
Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
Zheng, Lanqin; Zhong, Lu; Fan, Yunchao – Education and Information Technologies, 2023
Online collaborative learning (OCL) has been a mainstream pedagogy in the field of higher education. However, learners often produce off-topic information and engage less during online collaborative learning compared to other approaches. In addition, learners often cannot converge in knowledge, and they often do not know how to coregulate with…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Learning Analytics
Bo Yang – International Journal of Computer-Supported Collaborative Learning, 2024
In online learning at scale, wherein instructional videos play a central role, interactive tools are often integrated to counteract passive consumption. For example, the forum or discussion board is widely used, and an emerging functionality, danmaku, which enables messages to be synchronized with video playback, has also been utilized recently.…
Descriptors: MOOCs, Discussion Groups, Cooperative Learning, Video Technology
Yugo Hayashi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
During collaborative small group problem-solving, a group member with a minority perspective has a notable influence on the majority's perspective. However, the type of interactions with such a member could influence a stalemate, and the relationships between internal and task conflicts and the convergence process remain unclear. This study…
Descriptors: Cooperative Learning, Problem Solving, Perspective Taking, Cognitive Processes
Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
Wang, Cixiao; Dong, Qian; Ma, Yuying – Journal of Science Education and Technology, 2023
With the advancement of informational and portable technologies, virtual manipulatives based on tablets are applied to support students' learning in science education. However, research on the impact of tablet-student ratios on individual knowledge acquisition and cognitive load in collaborative inquiry learning has not been addressed in detail…
Descriptors: Tablet Computers, Technology Uses in Education, Electronic Learning, Cognitive Processes
Shunmeng Chen – Journal of Computer Assisted Learning, 2025
Background: Computer-mediated writing classes have experienced a significant increase in popularity in recent years, serving as an effective modality for enhancing writing skills within an online framework. Objectives: This study seeks to bridge the gap in the literature by investigating the effectiveness of cognitive, social, and group-awareness…
Descriptors: Cognitive Processes, Difficulty Level, Computer Assisted Instruction, Writing Instruction
Nihalani, Priya K.; Robinson, Daniel H. – Journal of Educational Computing Research, 2022
We sought to identify factors that optimize individual learning in complex, technology-enhanced learning environments. Undergraduates viewed tutorials and played a simulation-based game either alone or in groups and in either high or low cognitive load sequences and later took tests measuring comprehension of tutorials and transfer of computer…
Descriptors: Cognitive Processes, Difficulty Level, Cooperative Learning, Technology Uses in Education
Zambrano R., Jimmy; Kirschner, Femke; Sweller, John; Kirschner, Paul A. – British Journal of Educational Psychology, 2023
Background: Collaborative learning is a widely used approach where students gather in small groups to solve problems and develop skills. However, grouping students is not always effective, and it may be necessary to provide task-specific collaborative experiences to optimize their interactions for subsequent learning tasks. Aims: To test this…
Descriptors: Cooperative Learning, Grouping (Instructional Purposes), Foreign Countries, Interaction
Khanyisile Twabu – Discover Education, 2025
This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Artificial Intelligence
Jinfen Xu; Yumei Fan – Language Teaching Research, 2024
This study is aimed to identify the effects of task complexity on first language (L1) use and the functions it may serve when two groups of learners of English as a foreign language (EFL) work on collaborative tasks. Twenty-four pairs of Chinese EFL learners from two universities were assigned to a lower-proficiency and a higher-proficiency group,…
Descriptors: English (Second Language), Second Language Learning, Task Analysis, Difficulty Level