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Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
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Gerald K. LeTendre; Raisa Gray – Journal of Computer Assisted Learning, 2024
Background: Although human-robotic interaction is a rapidly burgeoning area of study within education, and social robots are being widely tested for use in schools, few studies have focused on early adolescent interactions with robots under actual classroom conditions. Objectives: We introduced an autonomous, social robot ('Pepper') into a…
Descriptors: Robotics, Student Projects, Early Adolescents, Active Learning
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Sidi, Yael; Blau, Ina; Shamir-Inbal, Tamar – Journal of Computer Assisted Learning, 2022
Background: Hyper-video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper-videos in educational systems can promote the learning processes and outcomes, an open question remains regarding its actual…
Descriptors: Active Learning, Cooperative Learning, College Students, Documentation
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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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Yanyan Sun; Chengjun Feng; Di Peng; Bian Wu – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Goal Orientation, Active Learning, Inquiry, Engineering Education
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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
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Daniela Olea-Ibarra; Christian Hartmann; Maria Bannert – Journal of Computer Assisted Learning, 2025
Background: Enjoyment and epistemic emotions are essential in education as they drive learners to actively and persistently engage with learning material. Augmented Reality (hereinafter referred to as AR) is an emerging educational tool that offers unique opportunities for immersive learning experiences. By incorporating AR into the learning…
Descriptors: Psychological Patterns, Positive Attitudes, Computer Simulation, Active Learning
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Tanya Chichekian; Joel Trudeau; Tawfiq Jawhar; Dylan Corliss – Journal of Computer Assisted Learning, 2024
Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…
Descriptors: College Students, Computation, Thinking Skills, Transfer of Training
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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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Gandolfi, Enrico – Journal of Computer Assisted Learning, 2022
Background: Online game communities are inhabited by millions of players daily with relevant learning opportunities and dynamics. However, little efforts have been done for exploring their potential. Objectives: The goal of this study is to explore if and how social learning processes are occurring in online game communities. Methods: n = 480…
Descriptors: Internet, Games, Socialization, Communities of Practice
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Jingrong Liu; Shujun Li; Wanfang Zhang – Journal of Computer Assisted Learning, 2024
Background: Limited research on the effectiveness of additional online and face-to-face practise opportunities for promoting active learning among Chinese EFL learners in higher education. Current understanding of self-regulated and collaborative learning theories in educational contexts. Objectives: To establish the efficacy of interactive online…
Descriptors: Foreign Countries, English (Second Language), English Language Learners, Electronic Learning
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Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
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Asma Hadyaoui; Lilia Cheniti-Belcadhi – Journal of Computer Assisted Learning, 2024
Background: Project-based collaborative learning (PBCL) is a technique that supports knowledge and skill development through complex, real-world projects. Understanding factors that influence group performance in PBCL, such as gender composition, is crucial. Objectives: This study investigates the impact of gender composition on group performance…
Descriptors: Gender Differences, Skill Development, Cooperative Learning, Active Learning
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Juanjuan Chen; Minhong Wang; Tina A. Grotzer; Chris Dede – Journal of Computer Assisted Learning, 2024
Background: In scientific inquiry learning, students often have difficulties conducting hypothetical reasoning with multiple intertwined variables. Concept maps have a potential to facilitate complex thinking and reasoning. However, there is little investigation into the content of student-constructed concept maps and its association with inquiry…
Descriptors: Concept Mapping, Task Analysis, Inquiry, Active Learning
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Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
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