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Chan, Venus – Journal of Computer Assisted Learning, 2023
Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID-19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Translation
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
Conijn, R.; Van den Beemt, A.; Cuijpers, P. – Journal of Computer Assisted Learning, 2018
Predicting student performance is a major tool in learning analytics. This study aims to identify how different measures of massive open online course (MOOC) data can be used to identify points of improvement in MOOCs. In the context of MOOCs, student performance is often defined as course completion. However, students could have other learning…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Online Courses
Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Lin, Chien-Yu; Zhuo, Pei-Wen; Lin, Kuen-Yi – Journal of Computer Assisted Learning, 2019
This study combined 3D printing technology with experiential learning strategies (ELS) to design a hands-on curriculum for preengineering students. The participants learned interdisciplinary knowledge and abstract scientific concepts through the curriculum. The study implemented a quasi-experimental design to examine whether the students who…
Descriptors: Computer Peripherals, Visual Aids, Experiential Learning, Computer Uses in Education
Makransky, Guido; Wismer, Philip; Mayer, Richard E. – Journal of Computer Assisted Learning, 2019
The main objective of this study is to determine whether boys and girls learn better when the characteristics of the pedagogical agent are matched to the gender of the learner while learning in immersive virtual reality (VR). Sixty-six middle school students (33 females) were randomly assigned to learn about laboratory safety with one of two…
Descriptors: Educational Technology, Technology Uses in Education, Gender Differences, Computer Simulation
Pietarinen, Tarja; Vauras, Marja; Laakkonen, Eero; Kinnunen, Riitta; Volet, Simone – Journal of Computer Assisted Learning, 2019
This study examined affect during high school students' face-to-face collaborative inquiry learning in science, supported by the web-based software Virtual Baltic Sea Explorer. Self-reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of…
Descriptors: High School Students, Inquiry, Cooperative Learning, Educational Technology
Lin, C.-C.; Guo, K.-H.; Lin, Y.-C. – Journal of Computer Assisted Learning, 2016
This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…
Descriptors: Remedial Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Electronic Learning
Clarà, M.; Barberà, E. – Journal of Computer Assisted Learning, 2014
Connectivism, which has been argued to be a new learning theory, has emerged in the field of online learning during the last decade. On the World Wide Web at least, connectivism promises to establish learning spaces similar to those that Ivan Illich imagined in "Deschooling Society", through so-called massive online open courses (MOOCs).…
Descriptors: Learning Theories, Electronic Learning, Online Courses, Large Group Instruction
Song, H. S.; Kalet, A. L.; Plass, J. L. – Journal of Computer Assisted Learning, 2016
This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…
Descriptors: Prior Learning, Self Management, Self Control, Student Motivation
Beardsley, M.; Hernández-Leo, D.; Ramirez-Melendez, R. – Journal of Computer Assisted Learning, 2018
Low-cost devices have widened the use of multimodal data in experiments providing a more complete picture of behavioural effects. However, the accurate collection and combination of multimodal and behavioural data in a manner that enables reproducibility is challenging and often requires researchers to refine their approaches. This paper presents…
Descriptors: Data Analysis, Learning Modalities, Measurement Equipment, Data Collection
Witherspoon, Eben B.; Schunn, Christian D.; Higashi, Ross M.; Shoop, Robin – Journal of Computer Assisted Learning, 2018
Educational robotics programs offer an engaging opportunity to potentially teach core computer science concepts and practices in K-12 classrooms. Here, we test the effects of units with different programming content within a virtual robotics context on both learning gains and motivational changes in middle school (6th-8th grade) robotics…
Descriptors: Robotics, Computer Science Education, Programming, Units of Study
Tho, S. W.; Yeung, Y. Y. – Journal of Computer Assisted Learning, 2018
This paper reports our classroom implementation of a new remote laboratory (RL) system, which was developed by using innovative ideas and methods for applying technology-enhanced learning to secondary school science education (Grades 7-9 or Ages 12-14). The newly developed RL system, which involves 8 remote experiments, was tested with 32…
Descriptors: Secondary School Science, Science Education, Secondary School Students, Science Laboratories
Mercier, E.; Higgins, S. – Journal of Computer Assisted Learning, 2014
Multi-touch surfaces have the potential to change the nature of computer-supported collaborative learning, allowing more equitable access to shared digital content. In this paper, we explore how large multi-touch tables can be used by groups of students as an external representation of their group interaction processes. Video data from 24 groups…
Descriptors: Technology Uses in Education, Technology Integration, Tables (Data), Knowledge Representation
Krouska, Akrivi; Troussas, Christos; Virvou, Maria – Journal of Computer Assisted Learning, 2019
Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e-learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e-learning is the…
Descriptors: Social Networks, Guidelines, Electronic Learning, Teacher Student Relationship
Farsani, Danyal; Radmehr, Farzad; Alizadeh, Mohadaseh; Zakariya, Yusuf Feyisara – Journal of Computer Assisted Learning, 2021
With the technological improvements of innovative portable recording gadgets, augmented researchers' interest in exploring students' visual attention in their natural and normal occurring classrooms. The purpose of this study was to gauge students' visual attention in their Mathematics and English classrooms. This article reports on a study…
Descriptors: Mathematics Instruction, Second Language Learning, Second Language Instruction, English (Second Language)

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