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Jamshidifarsani, Hossein; Tamayo-Serrano, Paul; Garbaya, Samir; Lim, Theodore – Journal of Computer Assisted Learning, 2021
Training design for automatic skills has a vast domain of application, such as education, physical and cognitive rehabilitation, as well as sports, arts and professional training. Gamification concept used in technology-assisted training has the potential to increase motivation, engagement and adherence to the training programme. Currently, the…
Descriptors: Game Based Learning, Models, Computer Assisted Instruction, Task Analysis
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
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
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
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
Levin, Orna; Avidov-Ungar, Orit – Journal of Computer Assisted Learning, 2018
There has been a recent acceleration in the use of lecture capture technologies (LCT) in higher education institutions. The present study focuses on an LCT system, by the name of ClassBoost, which has recently been introduced in some classes in an academic college of education in Israel. The system encourages collaborative learning skills at…
Descriptors: Student Attitudes, Foreign Countries, Management Systems, Cooperative Learning
Fuhrman, Orly; Eckerling, Anabel; Friedmann, Naama; Tarrasch, Ricardo; Raz, Gal – Journal of Computer Assisted Learning, 2021
A challenging aspect of foreign language acquisition is learning new vocabulary. Research has demonstrated the benefits of motor action to vocabulary learning, though these findings are rarely translated into teaching and learning practices. In this work, we present a novel paradigm for vocabulary learning in a virtual reality environment,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Recall (Psychology)
Martín, Estefanía; Roldán-Alvarez, David; Haya, Pablo A.; Fernández-Gaullés, Cristina; Guzmán, Cristian; Quintanar, Hermelinda – Journal of Computer Assisted Learning, 2019
The adoption of Information and Communication Technologies in early childhood education is crucial for adapting traditional classrooms to the digital era. Over time, young children are increasingly using touch screen technologies such as tablets at home and in early childhood settings. However, the literature shows that there is a significant gap…
Descriptors: Foreign Countries, Teaching Methods, Early Childhood Education, Learning Processes
Wang, Tzu-Ling; Tseng, Yi-Kuan – Journal of Computer Assisted Learning, 2020
The purpose of this study was to investigate not only the effectiveness of dynamic versus static visualizations on learning star motions but also the influence of students' spatial abilities with these two types of visualizations on their learning. We assigned 155 fifth-grade students to either a dynamic or a static condition. We used a science…
Descriptors: Teaching Methods, Computer Assisted Instruction, Spatial Ability, Science Achievement
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
Kolpashnikova, Kamila; Bartolic, Silvia – Journal of Computer Assisted Learning, 2019
Computer-assisted instruction can change the way introductory statistics and quantitative methods courses are taught. Using a two-group pretest-posttest design, we conducted an experiment using an undergraduate social science student sample to investigate whether the introduction of statistical software to teaching quantitative methods would…
Descriptors: Computer Assisted Instruction, Student Attitudes, Pretests Posttests, Teaching Methods