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Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
Han, Feifei; Pardo, Abelardo; Ellis, Robert A. – Journal of Computer Assisted Learning, 2020
This study examines the extent to which the learning orientations identified by student self-reports and the observation of their online learning events were related to each other and to their academic performance. The participants were 322 first-year engineering undergraduates, who were enrolled in a blended course. Using students' self-report on…
Descriptors: College Students, Electronic Learning, Blended Learning, Curriculum Design
Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
Navratil, Sabrina D.; Kühl, Tim – Journal of Computer Assisted Learning, 2019
Self-generated learning (SGL) activities are characterized as an active learning strategy that functions as a support for deeper comprehension. However, the question arises which factors could be essential to fully exploit the effectiveness of SGL activities. One possible factor may be the emotional state of learners during learning. Because…
Descriptors: Emotional Response, Learning Strategies, Active Learning, Learning Activities
Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
Koc-Januchta, Marta M.; Höffler, Tim N.; Eckhardt, Marc; Leutner, Detlev – Journal of Computer Assisted Learning, 2019
The study presented in this paper aimed to examine the effect of visual and verbal cognitive style on learning from different types of visualization and modalities of explanatory text. Learning materials in the form of either computer-based animation or a series of static pictures with written or spoken explanations were presented to 197 students.…
Descriptors: Cognitive Style, Multimedia Materials, Visualization, Pictorial Stimuli
Lin, Xiao-Fan; Deng, Cailing; Hu, Qintai; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2019
Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial…
Descriptors: Undergraduate Students, Student Attitudes, Telecommunications, Handheld Devices
Hsia, Yen-Teh; Jong, Bin-Shyan; Lin, Tsong-Wuu; Liao, Ji-Yang – Journal of Computer Assisted Learning, 2019
Suppose learners use their free time to go online to review course materials, and they do so by taking optional tests that consist of multiple-choice questions (MCQs). What will happen if, for every practice question, there is always a choice (out of four possible choices) that is marked as "the (current) hot choice?" Will this make any…
Descriptors: Multiple Choice Tests, Test Preparation, Learning Processes, Test Construction
Zhai, Xuesong; Fang, Qiansheng; Dong, Yan; Wei, Zhihui; Yuan, Jing; Cacciolatti, Luca; Yang, Yalong – Journal of Computer Assisted Learning, 2018
Previous studies posited the effectiveness of stimulated recall. However, few studies explored how SR is implemented in a relatively static context, for example, online self-directed learning, or took human factors, for example, cognitive style and gender, into consideration in such a context. To fill this gap, the current study, aims to introduce…
Descriptors: Simulation, Biofeedback, Eye Movements, Reading Comprehension
Huang, Y-M.; Liu, C-J.; Shadiev, Rustam; Shen, M-H.; Hwang, W-Y. – Journal of Computer Assisted Learning, 2015
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to…
Descriptors: Eye Movements, Assistive Technology, Visual Perception, Visual Stimuli
Ku, D. T.; Huang, Y.-H.; Hus, S. C. – Journal of Computer Assisted Learning, 2015
This study investigated how the integration of a game-based learning strategy and a tangible user interface (TUI) device improves the learning achievement of fifth-grade students in studying Chinese idioms. By using the sifting, and sorting, features of Sifteo Cubes, learners, via a gaming situation, manually composed the cubes to the correct…
Descriptors: Teaching Methods, Academic Achievement, Chinese, Educational Games
Graf, S.; Liu, T.-C.; Kinshuk, – Journal of Computer Assisted Learning, 2010
Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour of students in an online course within a learning…
Descriptors: Cognitive Style, Management Systems, Online Courses, Computer Assisted Instruction
Popescu, E. – Journal of Computer Assisted Learning, 2010
Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Individualized Instruction

Vincent, John – Journal of Computer Assisted Learning, 2001
Discussion of elementary school children who have a preferred visual learning style focuses on a study that investigated the impact of the use of computers and a visually rich software program in a constructivist classroom environment on their writing. Results show an increase in volume and linguistic complexity in their writing skills. (LRW)
Descriptors: Cognitive Style, Computer Assisted Instruction, Constructivism (Learning), Courseware

Phillips, R. J. – Journal of Computer Assisted Learning, 1986
Arguing that a well designed graphical display can function as a memory store, this article suggests three principles for the design and use of computer graphics: parsimony, accessibility, and reflection. It is suggested that "progressive graphics" are particularly suited to computer implementation. (Author/MBR)
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Graphics, Educational Media
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