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Showing 1 to 15 of 96 results Save | Export
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Ahmed Tlili; Soheil Salha; Juan Garzón; Mouna Denden; Kinshuk; Saida Affouneh; Daniel Burgos – Journal of Computer Assisted Learning, 2024
Background Study: Several meta-analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore…
Descriptors: Teaching Methods, Instructional Effectiveness, Electronic Learning, Student Experience
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Qian Tian; Xudong Zheng – Journal of Computer Assisted Learning, 2024
Background: During the COVID-19 pandemic, online collaborative problem solving (online CPS) has become one of the most crucial learning methods to develop students' learning performance. However, it remains unclear of the effectiveness of the online CPS method on students' learning performance. Objectives: To explore the overall effect of online…
Descriptors: Electronic Learning, COVID-19, Pandemics, Teaching Methods
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Radovan Šikl; Karla Brücknerová; Hana Švedová; Filip Dechterenko; Pavel Ugwitz; Jirí Chmelík; Hana Pokorná; Vojtech Jurík – Journal of Computer Assisted Learning, 2024
Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on…
Descriptors: Computer Simulation, Educational Technology, Secondary School Students, Topography
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David A. Martin; Peter Curtis; Petrea Redmond – Journal of Computer Assisted Learning, 2024
Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and…
Descriptors: Elementary School Students, Student Attitudes, Programming, Computation
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Johnson-Glenberg, Mina C.; Bartolomea, Hannah; Kalina, Elena – Journal of Computer Assisted Learning, 2021
Experiences in immersive 3D virtual reality (VR) are more presence-inducing, and so it may be tempting to claim that content will be learned better in VR. This randomized control trial study on natural selection challenges that assumption. This study answers the question of whether learning STEM in an immersive 3D VR environment is always superior…
Descriptors: Computer Simulation, STEM Education, Learning Experience, Instructional Effectiveness
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Hu, Chih-Hsiang; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Background: Augmented reality (AR) has been incorporated in context-aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL…
Descriptors: Computer Simulation, Teaching Methods, Learning Theories, Instructional Effectiveness
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Filiz Avci – Journal of Computer Assisted Learning, 2024
Background Study: Developments in science and technology, have created a need for technology-supported learning environments. Robotics is a technology widely used in science education. Collaborative learning is one of the methods used in education based on the constructivist approach. Using robotic and cooperative learning together is a new and…
Descriptors: Robotics, Teaching Methods, Academic Achievement, 21st Century Skills
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Ade-Ojo, Gordon O.; Markowski, Marianne; Essex, Ryan; Stiell, Marlon; Jameson, Jill – Journal of Computer Assisted Learning, 2022
Background: Due to recent lockdown conditions, which restricted opportunities for face-to-face contact and the ability to be physically in schools, the need for novel, safe ways to train pre-service teachers emerged even more pressingly. Whilst virtual simulation has received some attention in pedagogy and its benefits have been demonstrated in…
Descriptors: Simulated Environment, Computer Simulation, Preservice Teacher Education, Teaching Methods
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Bhatia, Parnika; Le Diagon, Sarah; Langlois, Emma; William, Melissa; Prado, Jérôme; Gardes, Marie-Line – Journal of Computer Assisted Learning, 2023
Background: Digital game-based learning is gaining increased attention from both researchers and educators for improving mathematics instruction. However, the evidence for game-based learning is mixed and research with rigorous research design and analyses are limited. Objective: Here, in a pre-registered randomized controlled study, we…
Descriptors: Fractions, Mathematics Instruction, Comparative Analysis, Game Based Learning
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Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…
Descriptors: Computer Simulation, Computer Uses in Education, Secondary School Students, STEM Education
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Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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Rocío Mínguez-Pardo; Javier Del Olmo-Muñoz; Sergio Tirado-Olivares; José Antonio González-Calero – Journal of Computer Assisted Learning, 2024
Background: The present study delves into the debate surrounding the effectiveness of homework, focusing specifically on the use of online homework in teaching decimal numbers to 5th and 6th grade primary school students. It highlights the challenges students face in representing and identifying decimal numbers, a concept that is often difficult…
Descriptors: Electronic Learning, Homework, Mathematics Instruction, Number Concepts
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Lu Yang; Rui Li; Yu Zhou – Journal of Computer Assisted Learning, 2024
Background: While game-based language learning (GBLL) in K-12 education has received considerable attention, little is still known about its state-of-the-art research trends over the last decade, necessitating a systematic review on its theoretical frameworks, instructional activities and research findings. Objectives: To fill the gap, drawing on…
Descriptors: Game Based Learning, Second Language Learning, Elementary Secondary Education, Educational Research
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Lu Ding; Meehyun Yoon; Dongho Kim – Journal of Computer Assisted Learning, 2024
Background: While the effectiveness of tutoring-style videos has been reported in previous studies conducted in laboratories, how these types of videos facilitate students' learning experiences and achievement has not been much explored in prior studies, which prevents discussion on how to design such tutoring-style videos. Objectives: In this…
Descriptors: Tutoring, Video Technology, Computer Assisted Instruction, Teaching Methods
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Eshuis, Elise H.; ter Vrugte, Judith; Anjewierden, Anjo; de Jong, Ton – Journal of Computer Assisted Learning, 2022
Background: Creating concept maps can help students overcome challenges of accurate knowledge monitoring and thus foster learning. However, students' knowledge often contains gaps and misconceptions, even after concept map creation. Theoretically, students could benefit from additional support, but it is unclear whether this might also be the case…
Descriptors: Reflection, Concept Mapping, Knowledge Representation, Instructional Effectiveness
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