Publication Date
| In 2026 | 0 |
| Since 2025 | 14 |
| Since 2022 (last 5 years) | 56 |
| Since 2017 (last 10 years) | 94 |
| Since 2007 (last 20 years) | 119 |
Descriptor
Source
| Journal of Computer Assisted… | 154 |
Author
| Mayer, Richard E. | 3 |
| Wang, Fuxing | 3 |
| Bétrancourt, Mireille | 2 |
| Fryer, Luke K. | 2 |
| Gwo-Jen Hwang | 2 |
| Lewis, R. | 2 |
| Martin Merkt | 2 |
| Moskaliuk, J. | 2 |
| Scheiter, Katharina | 2 |
| Shaffer, David Williamson | 2 |
| Swaak, Janine | 2 |
| More ▼ | |
Publication Type
| Journal Articles | 154 |
| Reports - Research | 120 |
| Reports - Descriptive | 19 |
| Information Analyses | 13 |
| Reports - Evaluative | 7 |
| Opinion Papers | 5 |
| Tests/Questionnaires | 2 |
Education Level
Audience
Location
| United Kingdom | 5 |
| Netherlands | 4 |
| China | 3 |
| Canada | 2 |
| Asia | 1 |
| Israel | 1 |
| Jordan | 1 |
| Spain | 1 |
| Sweden | 1 |
| United Kingdom (England) | 1 |
| United Kingdom (London) | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Moskaliuk, J.; Matschke, C. – Journal of Computer Assisted Learning, 2018
Learning is a complex process that can be differentiated into assimilation and accommodation. The Internet enables both types of learning through collaboration. There is, however, little research investigating the specific impact of social and information incongruity on assimilation and accommodation. The current research investigates how the…
Descriptors: Learning Processes, Internet, Electronic Learning, Cooperative Learning
Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
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
Huang, Weijiao; Hew, Khe Foon; Fryer, Luke K. – Journal of Computer Assisted Learning, 2022
Background: The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Mediated Communication
Colliot, Tiphaine; Jamet, Éric – Journal of Computer Assisted Learning, 2020
We investigated the effects of readymade versus self-generated graphic organizers (GOs) on learning, comparing the performances of undergraduates (N = 81) tasked with learning a multimedia document. This document was either presented on its own ("control group"), with a readymade GO, or with a blank GO that students had to fill in either…
Descriptors: Instructional Materials, Learning Processes, Undergraduate Students, Multimedia Materials
Van Ginkel, Stan; Ruiz, Dominic; Mononen, Asko; Karaman, Cendel; de Keijzer, Ander; Sitthiworachart, Jirarat – Journal of Computer Assisted Learning, 2020
Feedback plays a central role in learning. Crucial to this is the nature and timing of the feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment designed to facilitate the development of pre-university students' presentation skills. Two conditions were established to…
Descriptors: Feedback (Response), Teaching Methods, Computer Mediated Communication, Instructional Effectiveness
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
Wang, Hongyan; Pi, Zhongling; Hu, Weiping – Journal of Computer Assisted Learning, 2019
Instructor behaviour is known to affect learning performance, but it is unclear which specific instructor behaviours can optimize learning. We used eye-tracking technology and questionnaires to test whether the instructor's gaze guidance affected learners' visual attention, social presence, and learning performance, using four video lectures:…
Descriptors: Video Technology, Lecture Method, Nonverbal Communication, Eye Movements
Filius, Renée M.; de Kleijn, Renske A. M.; Uijl, Sabine G.; Prins, Frans J.; van Rijen, Harold V. M.; Grobbee, Diederick E. – Journal of Computer Assisted Learning, 2019
We investigated the relation between providing and receiving audio peer feedback with a deep approach to learning within online education. Online students were asked to complete peer feedback assignments. Data through a questionnaire with 108 respondents and 14 interviews were used to measure to what extent deep learning was perceived and why.…
Descriptors: Feedback (Response), Peer Influence, Online Courses, Educational Technology
Shao, Kaiqi; Kutuk, Gulsah; Fryer, Luke K.; Nicholson, Laura J.; Guo, Jidong – Journal of Computer Assisted Learning, 2023
Background: Considerable evidence suggests that students' achievement emotions are important contributors to their learning and success online. It is, therefore, essential to understand and support students' emotional experiences to enhance online education, especially under the COVID-19 context. However, to date, very few studies have…
Descriptors: Student Attitudes, Undergraduate Students, English (Second Language), Second Language Learning
Chen, Jyun-Chen; Huang, Yun; Lin, Kuen-Yi; Chang, Yu-Shan; Lin, Hung-Chang; Lin, Chien-Yu; Hsiao, Hsien-Sheng – Journal of Computer Assisted Learning, 2020
This study combined virtual reality (VR) technology, the 6E (Engage, Explore, Explain, Engineer, Enrich, and Evaluate) model, and STEM (Science, Technology, Engineering, and Mathematics) education to develop a hands-on activity aimed at helping students to achieve "learning by doing." The participants were 162 tenth-grade students,…
Descriptors: Hands on Science, Computer Simulation, STEM Education, Experiential Learning
Leeuwestein, Hanneke; Barking, Marie; Sodaci, Hande; Oudgenoeg-Paz, Ora; Verhagen, Josje; Vogt, Paul; Aarts, Rian; Spit, Sybren; de Haas, Mirjam; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
Providing first language (L1) translations in L2 vocabulary interventions may be beneficial for L2 vocabulary learning. However, in linguistically diverse L2 classrooms, teachers cannot provide L1 translations to all children. Social robots do offer such opportunities, as they can be programmed to speak any combination of languages. This study…
Descriptors: Native Language, Translation, Second Language Learning, Vocabulary Development
Meehan, Maria; McCallig, John – Journal of Computer Assisted Learning, 2019
We apply Carroll's model of school learning, which theorizes about the relationship between time and learning, to motivate the design of a large, first-year, university mathematics course, where students have the choice to attend lectures and/or watch online videos. The theoretical model informs how the course and resources are designed in order…
Descriptors: Time on Task, Video Technology, Learning Processes, Correlation
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
Parong, Jocelyn; Mayer, Richard E. – Journal of Computer Assisted Learning, 2021
As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting…
Descriptors: Virtual Classrooms, Cognitive Processes, Affective Behavior, Comparative Analysis

Peer reviewed
Direct link
