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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
Alam, Md. I.; Malone, Lauren; Nadolny, Larysa; Brown, Michael; Cervato, Cinzia – Journal of Computer Assisted Learning, 2023
Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using…
Descriptors: Academic Achievement, Game Based Learning, Introductory Courses, STEM Education
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
Ran, Hua; Kim, Nam Ju; Secada, Walter G. – Journal of Computer Assisted Learning, 2022
Background: With the recent pivot to online instruction and/or to mixed online/face-to-face (i.e., hybrid) models of teaching necessitated by the novel coronavirus pandemic, the uses of technology to support instruction would seem to have great importance. Whereas effective integration of technology in mathematics classrooms requires recognition…
Descriptors: Elementary Secondary Education, Online Courses, Educational Technology, Blended Learning
Jenny Yun-Chen Chan; Avery H. Closser; Vy Ngo; Hannah Smith; Allison S. Liu; Erin Ottmar – Journal of Computer Assisted Learning, 2023
Background: Prior work has shown that middle school students struggle with algebra and that game-based educational technologies, such as DragonBox and From Here to There!, are effective at improving students' algebraic performance. However, it remains unclear which aspects of algebraic knowledge shift as a result of playing these games and what…
Descriptors: Teaching Methods, Game Based Learning, Middle School Students, Algebra
Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
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
Lin, Feng; Chan, Carol K. K. – Journal of Computer Assisted Learning, 2018
This study characterized students' online collaborative discourse from a theory-building perspective and examined its relation to epistemic and conceptual understanding. Fifty-two fifth graders' Knowledge Forum discussions on electricity were analysed. Discourse moves were coded within the inquiry threads, and two key epistemic patterns were…
Descriptors: Computer Mediated Communication, Energy, Discourse Analysis, Cooperative Learning
Facer, K.; Joiner, R.; Stanton, D.; Reid, J.; Hull, R.; Kirk, D. – Journal of Computer Assisted Learning, 2004
This paper reports a study that attempts to explore how using mobile technologies in direct physical interaction with space and with other players can be combined with principles of engagement and self-motivation to create a powerful and engaging learning experience. We developed a mobile gaming experience designed to encourage the development of…
Descriptors: Learning Experience, Concept Formation, Early Adolescents, Self Motivation

Niedderer, H.; And Others – Journal of Computer Assisted Learning, 1991
Described is how an iconic model building software can be used to help students gain a deeper qualitative conceptual understanding of physics concepts. The program, STELLA, links research about misconceptions and new teaching strategies with the use of modern information technology tools. (31 references) (KR)
Descriptors: Computer Assisted Instruction, Concept Formation, Learning Strategies, Misconceptions

Driver, Ros; Scanlon, Eileen – Journal of Computer Assisted Learning, 1989
Describes research project being implemented in the United Kingdom that has been developed to examine the process of change in secondary school students' conceptual understandings in the physical sciences. Models of conceptual change are described, the role of computer based activities in promoting conceptual change is discussed, and software…
Descriptors: Computer Assisted Instruction, Computer Simulation, Concept Formation, Courseware