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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
Lixin Wang – Journal of Computer Assisted Learning, 2025
Background: This paper represents an empirical study that examines the impact of specific teaching methods on the effectiveness of preschool music education. Objectives: The current study seeks to determine whether the integration of digital technology improves the music learning outcomes of preschoolers. Methods: The author compared the learning…
Descriptors: Foreign Countries, Preschool Children, Preschool Curriculum, Preschool Education
Eleftheria Siklafidou; Maya Satratzemi; Stelios Xinogalos – Journal of Computer Assisted Learning, 2025
Background: Serious games (SGs) have been increasingly utilised in various domains of education and training. These SGs are a compelling and impactful pedagogical tool that have demonstrated the potential to transform users' perspectives in a multitude of fields, including music. Objectives: This paper presents a systematic literature review (SLR)…
Descriptors: Music Education, Game Based Learning, Teaching Methods, Musical Instruments
Hanzhu Yang; Linlin Hu; Hao Wang; Yunfei Xin – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a cognitive approach intricately linked with core competencies in Science, Technology, Engineering, and Mathematics (STEM). Numerous studies have explored strategies to effectively integrate CT into STEM education and systematically evaluated the multidimensional impact on student learning outcomes.…
Descriptors: Integrated Activities, Computation, Thinking Skills, STEM Education
Hai-Jie Wang; Kai Chen; Youmei Wang; Chen-Chen Liu – Journal of Computer Assisted Learning, 2025
Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, especially when students adopt the perspective of…
Descriptors: Music Education, Teaching Methods, Singing, Music Appreciation
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
Hu, Chih-Hsiang; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Background: Augmented reality (AR) has been incorporated in context-aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL…
Descriptors: Computer Simulation, Teaching Methods, Learning Theories, Instructional Effectiveness
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
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Yadviga Radzitskaya; Artem Islamov – Journal of Computer Assisted Learning, 2024
Nanolearning represents an educational methodology rooted in personalisation and the individualisation of the educational process, leveraging contemporary information technologies. Nanolearning, closely intertwined with self-regulated learning, entails an individual's capacity to plan, monitor and regulate their learning process, objectives and…
Descriptors: Microcredentials, Teaching Methods, Information Technology, Learning Processes
H'mida, Cyrine; Kalyuga, Slava; Souissi, Nafaa; Rekik, Ghazi; Jarraya, Mohamed; Khacharem, Aïmen – Journal of Computer Assisted Learning, 2022
Objectives: The aim of the current study was to investigate the robustness of the human movement effect and its stability over time by comparing the effectiveness of dynamic and static presentations on acquisition and retention of a gross motor skill. Methods: One hundred and seven first-year students studying for the certificate in Physical…
Descriptors: Motion, Psychomotor Skills, College Freshmen, Physical Education
Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
Chen, Yi-Ching; Chang, Yu-Shan; Chuang, Meng-Jung – Journal of Computer Assisted Learning, 2022
Virtual reality (VR) can promote design performance, and may generate a high cognitive load and affect creative design thinking as well. In order to examine the effect of VR application on cognitive load and engineering design creativity, this study recruited 81 eighth-grade students as participants and employed a non-equivalent-groups…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Creative Thinking
van den Berghe, Rianne; de Haas, Mirjam; Oudgenoeg-Paz, Ora; Krahmer, Emiel; Verhagen, Josje; Vogt, Paul; Willemsen, Bram; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
This study investigates the degree to which children anthropomorphize a robot tutor and whether this anthropomorphism relates to their vocabulary learning in a second-language (L2) tutoring intervention. With this aim, an anthropomorphism questionnaire was administered to 5-year-old children (N = 104) twice: prior to and following a seven-session…
Descriptors: Young Children, Robotics, Vocabulary Development, Teaching Methods
Areej ElSayary – Journal of Computer Assisted Learning, 2024
Background: The widespread use of information and communication technology (ICT) has led to significant changes in societal aspects, resulting in the emergence of a "knowledge society." However, students and teachers have faced challenges in adapting to this digitalization. In the United Arab Emirates (UAE), transitioning to a…
Descriptors: Teacher Attitudes, Artificial Intelligence, Information Technology, Barriers

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