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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
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Martin Merkt; Daniel Bodemer – Journal of Computer Assisted Learning, 2024
Background: When watching educational online videos, learners need to determine whether the videos' contents are suitable for learning. Whereas this may induce metacognitive monitoring processes, it may also distract learners from the learning materials. Objectives: In the current set of experiments, we investigated whether asking participants to…
Descriptors: Video Technology, Teaching Methods, Metacognition, Instructional Materials
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Liping Jiang; Menglei Lv; Mengmeng Cheng; Xia Chen; Changhong Peng – Journal of Computer Assisted Learning, 2024
Background: The introduction of Small Private Online Courses (SPOCs) in English as a Foreign Language (EFL) instruction at Higher Vocational Colleges (HVCs) signifies a shift in education. Understanding the factors that affect deep learning in this SPOC context is crucial for improving educational outcomes. Objectives: By employing grounded…
Descriptors: Higher Education, Vocational Education, College Students, Private Education
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Liujie Xu; Xuefei Zou; Yuxue Hou – Journal of Computer Assisted Learning, 2024
Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…
Descriptors: Statistics Education, Comparative Analysis, Preservice Teachers, Teacher Education Programs
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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Liberman, Liat; Dubovi, Ilana – Journal of Computer Assisted Learning, 2023
Background: Virtual reality (VR) is considered a promising approach to support learning. An instructional design is essential to optimize cognitive processes. Studies show that VR has unique instructional and pedagogical requirements. Objectives: To evaluate the effectiveness and applicability of the modality principle, which was previously…
Descriptors: Eye Movements, Retention (Psychology), Computer Simulation, Instructional Design
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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
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Vogelaar, Bart; Veerbeek, Jochanan; Splinter, Suzanne E.; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2021
This study aimed to investigate children's potential for reasoning by analogy utilizing a newly-developed computerized dynamic test, and the potential differential influence of executive functions (cognitive flexibility, attention, and planning) on static and dynamic measures of analogical reasoning. Participants included 64 children (mean age =…
Descriptors: Thinking Skills, Executive Function, Computer Assisted Testing, Children
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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
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Lange, C.; Costley, J. – Journal of Computer Assisted Learning, 2018
Highly interactive and complex content within e-learning induces high levels of intrinsic load. Self-regulated effort represents one strategy that may help learners overcome such issues within e-learning. Using intrinsic load items representative of content complexity, germane load items representative of learning, and self-regulated effort items…
Descriptors: Metacognition, Electronic Learning, Independent Study, Correlation
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Cornelisz, Ilja; Klaveren, Chris – Journal of Computer Assisted Learning, 2018
A prerequisite for low-stakes activities to improve learning is to keep students engaged when confronted with challenging material. Comparing a personalized and non-personalized version of computerized practising, this study experimentally evaluates the relationships between student effort and ability across different dimensions of task…
Descriptors: Learner Engagement, Computer Assisted Instruction, Correlation, Summative Evaluation
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Shadiev, Rustam; Wu, Ting-Ting; Huang, Yueh-Min – Journal of Computer Assisted Learning, 2018
We provided texts generated by speech-to text-recognition (STR) technology for non-native English speaking students during lectures in English in order to test whether STR-texts were useful for enhancing students' comprehension of lectures. To this end, we carried out an experiment in which 60 participants were randomly assigned to a control group…
Descriptors: English (Second Language), Second Language Learning, Pretests Posttests, Lecture Method
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Maycock, Keith W.; Keating, J. G. – Journal of Computer Assisted Learning, 2017
This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…
Descriptors: Experimental Groups, Metadata, Computer Assisted Instruction, Undergraduate Students
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Trimmel, Michael; Bachmann, Julia – Journal of Computer Assisted Learning, 2004
Effects on cognitive performance, social atmosphere, communication, motivation and aspects of strain were investigated when laptops were integrated in classrooms. According to a quasi-experimental design 27 laptop students were compared with 22 non-laptop students from the same high school, aged 17-18 years. Results of tests and questionnaires…
Descriptors: Student Motivation, Interpersonal Relationship, Computer Uses in Education, High School Students