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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
Huh, Dami; Kim, Ji-Hyun; Jo, Il-Hyun – Journal of Computer Assisted Learning, 2019
One of the golden rules in instructional design methods is to optimize the use of working memory capacity and avoid cognitive overload. The study of cognitive load has historically relied on one's introspection. However, it is difficult to capture changes in cognitive load levels during learning sensitively. This paper suggests an approach to…
Descriptors: Cognitive Processes, Difficulty Level, Change, Video Technology
Schüler, Anne; Merkt, Martin – Journal of Computer Assisted Learning, 2021
In two experiments, the multimedia contradiction paradigm was used to investigate whether learners map information conveyed through the audio and the picture track of a video. In Experiment 1 (N = 85), the information conveyed through the audio track and the picture track was always consistent (control group) or was made inconsistent by changing…
Descriptors: Video Technology, Cognitive Processes, Multimedia Materials, Eye Movements
Araos, Andrés; Damsa, Crina; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: The surge of online platforms has generated interest in how specialized platforms support formal and informal learning in various disciplinary domains. Knowledge is still limited regarding how undergraduate students navigate and use platforms to learn. Objectives: This study explores computer and software engineering students' learning…
Descriptors: Computer Science Education, Computer Software, Learning Activities, Undergraduate Students
Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
Meier, Julius; Jong, Bastian; Montfort, Dorien Preusterink; Verdonschot, Anouk; Wermeskerken, Margot; Gog, Tamara – Journal of Computer Assisted Learning, 2023
Background: There are only few guidelines on how instructional videos should be designed to optimize learning. Recently, the effects of social cues on attention allocation and learning in instructional videos have been investigated. Due to inconsistent results, it has been suggested that the visual complexity of a video influences the effect of…
Descriptors: Video Technology, Cues, Attention, Social Influences
Ran, Hua; Kim, Nam Ju; Secada, Walter G. – Journal of Computer Assisted Learning, 2022
Background: With the recent pivot to online instruction and/or to mixed online/face-to-face (i.e., hybrid) models of teaching necessitated by the novel coronavirus pandemic, the uses of technology to support instruction would seem to have great importance. Whereas effective integration of technology in mathematics classrooms requires recognition…
Descriptors: Elementary Secondary Education, Online Courses, Educational Technology, Blended Learning
Maycock, K. W.; Lambert, J.; Bane, D. – Journal of Computer Assisted Learning, 2018
This action research study follows a between-subject design strategy and attempts to identify whether a departure from a direct instructional teaching strategy towards a flipped learning pedagogy results in increases in student performance over time. In particular, the study considers the effects of integrating flipped learning pedagogic…
Descriptors: Homework, Video Technology, Teaching Methods, Undergraduate Students
Tsai, Yu-Ling; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2020
This meta-analysis investigates the relative effectiveness of game-based science learning against other instructional methods (Gameplay design) as well as against science game variants enriched with mechanisms (Game-mechanism design). An overall medium effect size for Gameplay design (k = 14, N[subscript es] = 14, g[subscript RE] = 0.646, p =…
Descriptors: Game Based Learning, Science Instruction, Teaching Methods, Educational Games
Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
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
Valeria Henríquez; Isabel Hilliger – Journal of Computer Assisted Learning, 2024
Background: With the growing integration of technology in education, the adoption of blended learning (b-learning) has gained attention. B-learning combines traditional classroom teaching with online components, holding potential to enhance student outcomes and educational efficiency. Yet, current research predominantly concentrates on higher…
Descriptors: Blended Learning, Elementary Secondary Education, Rural Areas, Technology Uses in Education
Josef Šedlbauer; Jan Cincera; Martin Slavík; Adéla Hartlová – Journal of Computer Assisted Learning, 2024
Background: The emergence of Generative Artificial Intelligence has brought a number of ethical and practical issues to higher education. Solid experimental evidence is yet inadequate to set the functional rules for the new technology. Objectives: The objective of this study is to analyse the experience of undergraduate students' interaction with…
Descriptors: Artificial Intelligence, Higher Education, Undergraduate Students, Interaction
Chander Diwaker; Neha Miglani – Journal of Computer Assisted Learning, 2025
Background: The ever-increasing computational demands call for optimal resource utilisation and system performance in the cloud environment. Organisations are increasingly migrating workloads to cloud platforms, mandating the need for efficient resource distribution. Load balancing, a critical cloud component, ensures equitable distribution of…
Descriptors: Internet, Information Storage, Educational Practices, Computation
Büsra Parlar; Selim Soner Sütçü – Journal of Computer Assisted Learning, 2025
Background: AR allows users to experience a digital world that blends seamlessly with the physical world, creating an immersive and interactive experience. This is directly in line with the principles of Situated Learning Theory (SLT) that aim to put students in authentic situations in which they can be actively immersed in real-world activities.…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Instruction

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