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Marquès Puig, Joan Manuel; Daradoumis, Thanasis; Arguedas, Marta; Calvet Liñan, Laura – Journal of Computer Assisted Learning, 2022
Background: Recent research in online settings reports that supporting self-regulated learning (SRL) strategy use could lead to greater online academic success. A growing number of studies have started to investigate SRL supports in online environments recently, which indicates a great interest in this matter. Though several systems for automatic…
Descriptors: Cognitive Processes, Metacognition, Critical Thinking, Electronic Learning
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Vu Thanh Tam Nguyen; Hsiu-Ling Chen; Van Tran Kieu Nguyen – Journal of Computer Assisted Learning, 2025
Background: Social-emotional practices are crucial in today's educational landscape, fostering students' emotional intelligence, resilience and interpersonal skills. Integrating these practices into the gamified flipped classroom approach creates an enriched learning environment. However, there exists a notable research gap regarding the specific…
Descriptors: Social Emotional Learning, Gamification, Flipped Classroom, Emotional Response
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Lu, Kaili; Pang, Feng; Shadiev, Rustam – Journal of Computer Assisted Learning, 2023
Background: Inquiry-based learning is a salient instructional approach to cultivate students' higher order thinking skills (HOTS). With the presence and advancement of new technologies, their usage for inquiry learning in university context is increasingly ubiquitous. However, in most circumstances, college students cannot integrate technologies…
Descriptors: College Students, Technology Uses in Education, Teaching Methods, Thinking Skills
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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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Tomoko Yabukoshi; Atsushi Mizumoto – Journal of Computer Assisted Learning, 2024
Background: While self-regulated learning (SRL) strategy-based writing instruction has been proposed in English as a foreign language (EFL) classrooms, there is insufficient evidence with Japanese EFL learners and little discussion on incorporating online resources into SRL strategy-based writing instruction, despite the availability of various…
Descriptors: Writing (Composition), Educational Technology, Self Management, Learning Strategies
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Papadopoulos, Pantelis M.; Natsis, Antonis; Obwegeser, Nikolaus; Weinberger, Armin – Journal of Computer Assisted Learning, 2019
The aim of the present study (n = 113) was to examine how (objective and subjective) information on peers' preparation, confidence, and past performance can support students in answering correctly in audience response systems (aka clickers). The result analysis shows that in the "challenging" questions, in which answers diverged,…
Descriptors: Feedback (Response), Audience Response Systems, Self Esteem, Student Attitudes
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Sahin Kizil, Aysel – Journal of Computer Assisted Learning, 2023
Background: Data-driven learning (DDL) has been regarded as one of the promising approaches that could effectively enhance writing performance of English as a foreign language (EFL) learners. Although extensive research has been conducted on the use of DDL in developing various aspects of writing skill, there exist only few studies to date that…
Descriptors: Learning Analytics, English (Second Language), Second Language Learning, Second Language Instruction
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Ariasi, N.; Hyönä, J.; Kaakinen, J. K.; Mason, L. – Journal of Computer Assisted Learning, 2017
In this study, we used eye-tracking methodology for deeper understanding of the refutation text effect on online text comprehension. A refutation text acknowledges the reader's alternative conceptions about a phenomenon, refutes them and presents the correct conceptions. We tested two hypotheses about its facilitation effect: the coherence…
Descriptors: Eye Movements, Reading Comprehension, Reading Instruction, Reading Processes
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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
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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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Wu, Bian; Hu, Yiling; Ruis, A. R.; Wang, Minhong – Journal of Computer Assisted Learning, 2019
Computational thinking (CT), the ability to devise computational solutions for real-life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence…
Descriptors: Thinking Skills, Problem Solving, Teaching Methods, College Students
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van Wermeskerken, Margot; Grimmius, Bianca; van Gog, Tamara – Journal of Computer Assisted Learning, 2018
We investigated the effects of seeing the instructor's (i.e., the model's) face in video modeling examples on students' attention and their learning outcomes. Research with university students suggested that the model's face attracts students' attention away from what the model is doing, but this did not hamper learning. We aimed to investigate…
Descriptors: Video Technology, Autism, Pervasive Developmental Disorders, Outcomes of Education
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Iio, Takamasa; Maeda, Ryota; Ogawa, Kohei; Yoshikawa, Yuichiro; Ishiguro, Hiroshi; Suzuki, Kaori; Aoki, Tomohiro; Maesaki, Miharu; Hama, Mika – Journal of Computer Assisted Learning, 2019
This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To…
Descriptors: English (Second Language), Pretests Posttests, Asians, Accuracy
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Chung, L. M. Y.; Fong, S. S. M.; Ma, A. W. W.; Cheng, S. T. – Journal of Computer Assisted Learning, 2018
This study evaluated whether nutrition knowledge and healthy eating patterns can be achieved through web-based systems, a secondary analysis of learning activities and assessment records. Students used online dietary recording systems to capture food intake data for 2 weeks. The first cohort used a food photo-upload method and the second cohort…
Descriptors: Nutrition Instruction, College Students, Eating Habits, Health Behavior
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