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Effect of Multitasking and Task Characteristics Interaction on Cognitive Load and Learning Outcomes in Virtual Reality Learning Environments
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Tugtekin, Ufuk; Odabasi, Hatice Ferhan – Education and Information Technologies, 2023
Learning environments are undergoing a dynamic alteration with the robust impact of technological transformation. Therefore, adapting to dynamic learning settings has now become a key criterion for academic performance. The factors that we know have a detrimental effect on learners' academic performance and cognitive capacity are related to…
Descriptors: Computer Simulation, Time Management, Executive Function, Difficulty Level
Predicting Pre-Service Teachers' Computational Thinking Skills Using Machine Learning Classifiers
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Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
Do Interactive Learning Environments Have an Effect on Learning Outcomes, Cognitive Load and Metacognitive Judgments?
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Tugtekin, Ufuk; Odabasi, Hatice Ferhan – Education and Information Technologies, 2022
In this study, considering the effect of interactive learning environments on human cognition, we have examined extraneous processing effects of multimedia materials on cognitive load, metacognitive judgments and learning outcomes. This study examines Augmented Reality Learning Environments (ARLE) and Virtual Reality Learning Environments (VRLE)…
Descriptors: Outcomes of Education, Interaction, Educational Environment, Cognitive Processes
Investigating the Effect of Guided Inquiry on Learners with Different Prior Knowledge in Immersive Virtual Environments
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning