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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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Ran Peleg; Orly Lahav; Noha Hagab; Vadim Talis; Sharona T. Levy – Journal of Computer Assisted Learning, 2024
Background: Students who are blind are integrated into public schools in many countries, yet are often excluded from full participation in science since most learning materials are visual. To create a compensatory route, an existing model-based inquiry-learning environment was adapted by means of sonification (addition of non-speech sounds that…
Descriptors: Audiovisual Aids, Blindness, Science Education, Students with Disabilities
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Liu, Caihua; Zowghi, Didar; Kearney, Matthew; Bano, Muneera – Journal of Computer Assisted Learning, 2021
Recent years have seen a growing call for inquiry-based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology-supported inquiry-based learning (mIBL) in secondary science education. More evidence-based, nuanced…
Descriptors: Active Learning, Inquiry, Electronic Learning, Technology Integration
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Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
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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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Scanlon, E.; Anastopoulou, S.; Kerawalla, L.; Mulholland, P. – Journal of Computer Assisted Learning, 2011
The Personal Inquiry project is an investigation into the role that technologies can play in enabling effective inquiry. While it is generally agreed that inquiry-based learning has potential for student learning, especially in science, three main challenges remain. The first is to provide effective support for inquiry learning, for both students…
Descriptors: Investigations, Inquiry, Computer Software, Active Learning