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Xiaoxiao Liu; Okan Bulut; Ying Cui; Yizhu Gao – Journal of Computer Assisted Learning, 2025
Background: Process data captured by computer-based assessments provide valuable insight into respondents' cognitive processes during problem-solving tasks. Although previous studies have utilized process data to analyse behavioural patterns or strategies in problem-solving tasks, the connection between latent cognitive states and their…
Descriptors: Adults, Problem Solving, Markov Processes, Network Analysis
Chun-Chun Chang; Gwo-Jen Hwang; Liang-Shiou Ou – Journal of Computer Assisted Learning, 2025
Background: Health education aims to encourage individuals to voluntarily take action to improve their health. Throughout this process, adult learners can make informed decisions to change their behaviours and enhance their well-being. In medical institutions, employing appropriate instructional strategies to facilitate changes in health…
Descriptors: Patients, Cognitive Processes, Robotics, Patient Education
Camille Tordet; Jonathan Fernandez; Eric Jamet – Journal of Computer Assisted Learning, 2025
Background: Previous research has demonstrated that quizzing can improve self-regulation processes and learning performances. However, it remains unclear whether quizzes in multimedia material bring similar benefits, and whether interindividual differences such as working memory capacity (WMC) modulate quizzing effects. Aims: This study aimed to…
Descriptors: Self Management, Academic Achievement, Cognitive Processes, Multimedia Materials
Peijian Paul Sun; Zeqi Ren; Xian Zhao – Journal of Computer Assisted Learning, 2025
Background: Student engagement has been conceptualised and operationalised in various learning environments. However, there is currently a lack of established scales to measure student engagement in synchronous online learning. One possible reason is the existence of the conceptual and structural ambiguity regarding student engagement. Objective:…
Descriptors: Student Participation, Second Language Learning, Synchronous Communication, Electronic Learning
Mengshi Xiao; Weizi Li; Lei Han; Shasha Zheng – Journal of Computer Assisted Learning, 2025
Background: In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives: This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice…
Descriptors: Multimedia Instruction, Instructional Design, Computer Simulation, Student Attitudes
Meiyan Huang; Tang Yongquan – Journal of Computer Assisted Learning, 2025
Aim: In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs. Purpose: The purpose of…
Descriptors: Athletics, Technology, Influence of Technology, Training
Cynthia Y. Delgado; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…
Descriptors: Computer Simulation, Experiential Learning, Instructional Effectiveness, Transfer of Training
Lämsä, Joni; Mannonen, Joonas; Tuhkala, Ari; Heilala, Ville; Helovuo, Arto; Tynkkynen, Ilkka; Lampi, Emilia; Sipiläinen, Katriina; Kärkkäinen, Tommi; Hämäläinen, Raija – Journal of Computer Assisted Learning, 2023
Background: Cognitive load (CL) management is essential in safety-critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR)…
Descriptors: Cognitive Processes, Difficulty Level, Computer Simulation, Flight Training
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
Zhongling Pi; Huixin Chai; La Li; Xinru Zhang; Xiying Li – Journal of Computer Assisted Learning, 2024
Background: Learning from video lectures with peers, that is, co-viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co-viewing video lectures in terms of learning performance, mental effort, and interpersonal…
Descriptors: Learning Motivation, Cooperative Learning, Video Technology, Lecture Method
Song, Ningyuan; Chen, Kejun; Jin, Xiufang; Zhao, Yuehua – Journal of Computer Assisted Learning, 2023
Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus…
Descriptors: Reading Processes, Reading Skills, Semantics, Cognitive Processes
Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Garcia, Raycelle C. C.; Ting, Fridolin S. T. – Journal of Computer Assisted Learning, 2022
Background: The idea of computational thinking is underpinned by the belief that anyone can learn and use the underlying concepts of computer science to solve everyday problems. However, most studies on the topic have investigated the development of computational thinking through programming activities, which are cognitively demanding. There is a…
Descriptors: Computation, Thinking Skills, Problem Solving, Cognitive Processes
Lucia Mason; Angelica Ronconi; Barbara Carretti; Sara Nardin; Christian Tarchi – Journal of Computer Assisted Learning, 2024
Background: Digital texts are progressively becoming the medium of learning for students, but research has indicated that students tend to process information more superficially while reading on screen. It is therefore relevant to examine what strategies can support digital text comprehension. Objectives: This study aimed to investigate the…
Descriptors: College Students, Books, Electronic Publishing, Handheld Devices
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
Jana Gonnermann-Müller; Jule M. Krüger – Journal of Computer Assisted Learning, 2025
Background: Despite the numerous positive effects of augmented reality (AR) on learning, previous research has shown ambiguous results regarding the cognitive demand on the learner arising from, for example, the overlay of virtual elements or novel interaction techniques. At the same time, the number of evidence-based guidelines on designing AR is…
Descriptors: Computer Simulation, Computer Assisted Design, Difficulty Level, Cognitive Processes

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