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Showing 1 to 15 of 16 results Save | Export
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Huiyan Ye; Biyao Liang; Oi-Lam Ng – Journal of Computer Assisted Learning, 2025
Background: Empirical studies have revealed students' development of computational thinking (CT) and mathematical thinking (MT) during programming-based mathematical problem-solving, highlighting specific CT concepts or practices that serve as learning goals or outcomes. However, implementing programming-based mathematics instruction requires…
Descriptors: Mathematics Instruction, Teaching Methods, Programming, Computation
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Shuhan Zhang; Gary K. W. Wong – Journal of Computer Assisted Learning, 2024
Background: Computational thinking (CT) has been broadly considered one of the 21st-century competencies, and an emerging trend has been seen in integrating CT into primary education. Cumulative research was conducted to investigate the influencing factors of CT learning performance, and an ample range of factors has been identified, involving…
Descriptors: Logical Thinking, Personality Traits, Elementary School Students, Negative Attitudes
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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation
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Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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Sisman, Burak; Kucuk, Sevda; Ozcan, Neslihan – Journal of Computer Assisted Learning, 2022
Background: Educational robotics (ER) is a means of teaching technology and engineering to students that offers an active learning environment by encouraging them to create meaningful and unique products. ER also gives students the opportunity to work collaboratively. Objectives: In this study, elementary school students' behavioral patterns were…
Descriptors: Elementary School Students, Student Behavior, Behavior Patterns, Cooperative Learning
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Yang, Der-Ching; Sianturi, Iwan Andi J. – Journal of Computer Assisted Learning, 2019
When solving a mathematical problem, students who do not have sufficient conceptual understanding may perform poorly and exhibit misconceptions. This study was aimed to examine students' conceptual understanding and significant misconceptions when solving number sense-related problems. An online three-tier diagnostic test was administered to 125…
Descriptors: Concept Formation, Diagnostic Tests, Misconceptions, Problem Solving
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Chadli, Abdelhafid; Tranvouez, Erwan; Dahmani, Youcef; Bendella, Fatima; Belmabrouk, Karima – Journal of Computer Assisted Learning, 2018
This study proposes a computer-assisted system with a design based on Polya's problem-solving model. The system is designed to help average and low-achieving second graders in mathematics with word-based addition and subtraction questions. The emphasis of using the specific model was on dividing the problem-solving procedure into stages and the…
Descriptors: Mathematics Instruction, Word Problems (Mathematics), Computer Assisted Instruction, Teaching Methods
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Hwang, Gwo-Jen; Chang, Shao-Chen; Song, Yanjie; Hsieh, Min-Chuan – Journal of Computer Assisted Learning, 2021
Scholars have suggested that flipped learning can be enhanced by designing effective in-class learning activities to improve students' higher order thinking skills. Problem posing has been recognized as such a learning strategy that has great potential for improving students' higher order thinking skills. However, it has been reported as a…
Descriptors: Flipped Classroom, Educational Environment, Electronic Learning, Concept Mapping
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Deng, Li; Wu, Shaoyang; Chen, Yumeng; Peng, Zhengmei – Journal of Computer Assisted Learning, 2020
This study examined the perceptions and experiences of a teacher and students in a Shanghai public primary school when digital games were used in a second-grade math class. The participants included one teacher and 45 students. Data collection methods included classroom observation, focus-group and individual interviews, and document analysis.…
Descriptors: Foreign Countries, Elementary School Students, Grade 2, Mathematics Education
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Callaghan, M. N.; Long, J. J.; van Es, E. A.; Reich, S. M.; Rutherford, T. – Journal of Computer Assisted Learning, 2018
As more attention is placed on designing digital educational games to align with schools' academic aims (e.g., Common Core), questions arise regarding how professional development (PD) may support teachers' using games for instruction and how such integration might impact students' achievement. This study seeks to (a) understand how teachers use…
Descriptors: Computer Games, Teaching Methods, Computer Assisted Instruction, Faculty Development
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Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability
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Falloon, G. – Journal of Computer Assisted Learning, 2014
Since their introduction in 2010, much has been said and written about Apple's iPad (Apple Inc., Cupertino, CA, USA) and its potential to transform when and how students learn. Much of this hype has focused on attributes of the device such as its touch screen interface, light and portable form factor, easy-to-use operating system, and large…
Descriptors: Handheld Devices, Educational Technology, Technology Uses in Education, Video Technology
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Sung, Y.-T.; Hou, H.-T.; Liu, C.-K.; Chang, K.-E. – Journal of Computer Assisted Learning, 2010
Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and…
Descriptors: Informal Education, Learning Strategies, Sequential Learning, Problem Solving
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Devolder, A.; van Braak, J.; Tondeur, J. – Journal of Computer Assisted Learning, 2012
Despite the widespread assumption that students require scaffolding support for self-regulated learning (SRL) processes in computer-based learning environments (CBLEs), there is little clarity as to which types of scaffolds are most effective. This study offers a literature review covering the various scaffolds that support SRL processes in the…
Descriptors: Computer Assisted Instruction, Science Education, Scaffolding (Teaching Technique), Self Management
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