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Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2024
Background: Society requires individuals to have the ability to synthesise knowledge from diverse sources, typically acquired through science, technology, engineering, and mathematics (STEM) education. Objectives and Methods: We utilised a moderately rigorous design to investigate the effects of combining a hands-on STEM activity with active…
Descriptors: Knowledge Level, Teaching Methods, Flipped Classroom, Academic Achievement
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Xiu Xin; Meng Zhang – Journal of Computer Assisted Learning, 2024
Background: Some studies have researched the correlation between flipped learning and cognitive learning outcomes; however, there is a paucity of research elaborating on the effects of flipped language learning on cognitive load (CL). Objectives: This study investigates the effects of using flipped learning designs (student-led, teacher-led and…
Descriptors: Flipped Classroom, Second Language Learning, English (Second Language), Computer Assisted Instruction
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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
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Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
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Hughes, Joan E.; Cheah, Yin Hong; Shi, Yi; Hsiao, Kuei-Hui – Journal of Computer Assisted Learning, 2020
We examined teachers' pedagogical reasoning for and the technological knowledge underlying their most-valued technology-supported activities for teaching and learning. Data from 140 preservice and 100 inservice teachers included open-ended, narrative responses to survey questions. Qualitative research methods guided analysis of the data that…
Descriptors: Teaching Methods, Educational Technology, Technology Uses in Education, Preservice Teachers
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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
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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
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Spikol, Daniel; Ruffaldi, Emanuele; Dabisias, Giacomo; Cukurova, Mutlu – Journal of Computer Assisted Learning, 2018
Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…
Descriptors: Student Projects, Active Learning, Teaching Methods, Group Dynamics
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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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Fang, N.; Tajvidi, M. – Journal of Computer Assisted Learning, 2018
This study focuses on the investigation of the effects of computer simulation and animation (CSA) on students' cognitive processes in an undergraduate engineering course. The revised Bloom's taxonomy, which consists of six categories in the cognitive process domain, was employed in this study. Five of the six categories were investigated,…
Descriptors: Computer Simulation, Animation, Educational Technology, Technology Uses in Education
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Jagušt, T.; Boticki, I.; So, H. -J. – Journal of Computer Assisted Learning, 2018
This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43…
Descriptors: Elementary School Students, Informal Education, Student Interests, Student Motivation
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Nikou, S. A.; Economides, A. A. – Journal of Computer Assisted Learning, 2018
Mobile-based micro-learning has gained a lot of attention lately, especially for work-based and corporate training. It combines features of mobile learning and micro-learning to deliver small learning units and short-term learning activities. The current study uses the lens of the Self-Determination Theory of motivation and proposes a series of…
Descriptors: High School Students, Learning Motivation, Personal Autonomy, Psychological Needs
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Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
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Lin, J-W.; Lai, Y-C.; Lai, Y-C.; Chang, L-C. – Journal of Computer Assisted Learning, 2016
Most systems for training self-regulated learning (SRL) behaviour focus on the provision of a learner-centred environment. Such systems repeat the training process and place learners alone to experience that process iteratively. According to the relevant literature, external scaffolds are more promising for effective SRL training. In this work,…
Descriptors: Learner Controlled Instruction, Self Management, Scaffolding (Teaching Technique), Peer Teaching
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Price, S.; Jewitt, C.; Sakr, M. – Journal of Computer Assisted Learning, 2016
This paper reports an empirical study that takes a multimodal analytical approach to examine how mobile technologies shape students' exploration and experience of place during a history learning activity in situ. In history education, mobile technologies provide opportunities for authentic experiential learning activities that have the potential…
Descriptors: History Instruction, Handheld Devices, Telecommunications, Learning Activities
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