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Paxinou, Evgenia; Georgiou, Martha; Kakkos, Vasilis; Kalles, Dimitrios; Galani, Lia – Research in Science & Technological Education, 2022
Background: An increasing number of educational institutions are incorporating virtual reality (VR) applications in the instruction methodology for their laboratory science courses. However, there is debate about the use of the physical vs. the virtual lab as according to research the former offers a positive research-training environment, whereas…
Descriptors: Computer Simulation, Science Laboratories, Science Instruction, Laboratory Equipment
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Ruipérez-Valiente, Jose A.; Muñoz-Merino, Pedro J.; Kloos, Carlos Delgado; Niemann, Katja; Scheffel, Maren; Wolpers, Martin – IEEE Transactions on Learning Technologies, 2016
Self-regulated learning (SRL) environments provide students with activities to improve their learning (e.g., by solving exercises), but they might also provide optional activities (e.g., changing an avatar image or setting goals) where students can decide whether they would like to use or do them and how. Few works have dealt with the use of…
Descriptors: Metacognition, Learning Processes, Case Studies, Learning Activities
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
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Tapola, Anna; Jaakkola, Tomi; Niemivirta, Markku – Journal of Experimental Education, 2014
This study investigated changes in elementary school students' (n = 140) situational interest as a function of achievement goal orientation profiles and task characteristics. The authors repeatedly measured situational interest during a simulated science learning task in 2 task conditions that differed in the concreteness of the task elements. The…
Descriptors: Elementary School Students, Goal Orientation, Computer Simulation, Science Instruction
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
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Saab, Nadira; van Joolingen, Wouter R.; van Hout-Wolters, B. H. A. M. – Educational Studies, 2009
In this study, we investigated the influence of individual learners' motivation on the collaborative discovery learning process. In this we distinguished the motivation of the individual learners and had eye for the composition of groups, which could be homogeneous or heterogeneous in terms of motivation. The study involved 73 dyads of 10th-grade…
Descriptors: Student Motivation, Discovery Learning, Cooperative Learning, Secondary School Students
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Zhao, Guopeng; Ailiya; Shen, Zhiqi – Educational Technology & Society, 2012
Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…
Descriptors: Foreign Countries, Instructional Design, Artificial Intelligence, Electronic Learning