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Showing 1 to 15 of 71 results Save | Export
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Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing
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Chorng-Shiuh Koong; Chih-Hung Chen; Yu-Tzu Chen; Gwo-Haur Hwang – Journal of Computer Assisted Learning, 2025
Background: Rhythm is the fundamental element of music and one of the indispensable aspects of training in music education, making it highly valued. However, due to the limitations of teaching hours and the large number of students in each class, it is difficult to foster the rhythm ability of elementary school students. Objectives: Hence, this…
Descriptors: Music Education, Telecommunications, Handheld Devices, Teaching Methods
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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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Chia-Chen Chen; Man-Hong Chai; Pei-Hsuan Lin – Journal of Computer Assisted Learning, 2025
Background: Environmental education is crucial for promoting pro-environmental attitudes and behavior change. However, traditional teaching methods may not effectively engage learners in environmental protection. This study aims to address the limitations of traditional teaching methods and contribute to the development of effective environmental…
Descriptors: Multimedia Materials, Electronic Publishing, Books, Environmental Education
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David A. Martin; Peter Curtis; Petrea Redmond – Journal of Computer Assisted Learning, 2024
Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and…
Descriptors: Elementary School Students, Student Attitudes, Programming, Computation
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Kevin Sigayret; Nathalie Blanc; André Tricot – Journal of Computer Assisted Learning, 2025
Background: Teaching programming and computational thinking is becoming a major issue in many education systems. Numerous approaches are possible, but very few studies compare these different ways of implementing programming and computational thinking learning. Objectives: We compared three ways of teaching programming and computational thinking…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Computation
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Zhong, Baichang; Xia, Liying – Journal of Computer Assisted Learning, 2022
Background: Although some researchers have applied both cooperation and competition in the practice of robotics education, most of these practices were not systematic, and there was no integration design for intra-group cooperation and inter-group competition. Objectives: The study aims to examine the effects of different coopetition designs on…
Descriptors: Robotics, Cooperation, Competition, Elementary School Students
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Filiz Avci – Journal of Computer Assisted Learning, 2024
Background Study: Developments in science and technology, have created a need for technology-supported learning environments. Robotics is a technology widely used in science education. Collaborative learning is one of the methods used in education based on the constructivist approach. Using robotic and cooperative learning together is a new and…
Descriptors: Robotics, Teaching Methods, Academic Achievement, 21st Century Skills
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Bhatia, Parnika; Le Diagon, Sarah; Langlois, Emma; William, Melissa; Prado, Jérôme; Gardes, Marie-Line – Journal of Computer Assisted Learning, 2023
Background: Digital game-based learning is gaining increased attention from both researchers and educators for improving mathematics instruction. However, the evidence for game-based learning is mixed and research with rigorous research design and analyses are limited. Objective: Here, in a pre-registered randomized controlled study, we…
Descriptors: Fractions, Mathematics Instruction, Comparative Analysis, Game Based Learning
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Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
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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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Rocío Mínguez-Pardo; Javier Del Olmo-Muñoz; Sergio Tirado-Olivares; José Antonio González-Calero – Journal of Computer Assisted Learning, 2024
Background: The present study delves into the debate surrounding the effectiveness of homework, focusing specifically on the use of online homework in teaching decimal numbers to 5th and 6th grade primary school students. It highlights the challenges students face in representing and identifying decimal numbers, a concept that is often difficult…
Descriptors: Electronic Learning, Homework, Mathematics Instruction, Number Concepts
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Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
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Toonder, Scott; Sawyer, L. Brook – Journal of Computer Assisted Learning, 2021
Research has demonstrated that computer assisted instruction (CAI) can have positive impacts on various literacy skills, however its impact on specific comprehension skills is currently unclear. This study employed a small-scale randomized control trial to examine the impact of a researcher-developed adaptive computer assisted instructional…
Descriptors: Computer Assisted Instruction, Teaching Methods, Reading Comprehension, Elementary School Students
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Yawen Shi; Zengzhao Chen; Mengke Wang; Shaohui Chen; Jianwen Sun – Journal of Computer Assisted Learning, 2024
Background: Guided gaze is the instructor's gaze towards teaching materials to guide students' attention, and it plays a vital role in enhancing video-based education. The duration of guided gaze, indicating how long instructors focus on teaching materials, varies based on the lecture design. Nevertheless, the impact of varying durations of guided…
Descriptors: Teacher Behavior, Eye Movements, Lecture Method, Video Technology
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