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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
Bittermann, André; McNamara, Danielle; Simonsmeier, Bianca A.; Schneider, Michael – Educational Psychology Review, 2023
Understanding the role of prior knowledge in human learning is essential for predicting, improving, and explaining competence acquisition. However, the size and breadth of this field make it difficult for researchers to glean a comprehensive overview. Hence, we conducted a bibliometric analysis of 13,507 relevant studies published between 1980 and…
Descriptors: Prior Learning, Transfer of Training, Educational Research, Cognitive Processes
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
Sanders, William; McHugh, Douglas – Education Sciences, 2021
Dual-process theories may be invoked to explain how physicians interact with, interpret, and draw inferences from clinical information. Stanovich and West's model articulates two kinds of thinking--intuitive-based System 1 and analytical-based System 2--which have been under-investigated with physicians in training. This qualitative study explored…
Descriptors: Medical Students, Systems Approach, Cognitive Processes, Medical Education
Fries, Laura; DeCaro, Marci S.; Ramirez, Gerardo – Journal of Educational Psychology, 2019
Research demonstrates that seductive details negatively impact learning from instructional materials such as textbooks and learning modules. Yet, anecdotally, teachers and students consider seductive details an enhancement to classroom lectures. We examined this apparent disconnect by exploring the impact of seductive details in mathematics…
Descriptors: Lecture Method, Instructional Materials, Mathematics Instruction, Educational Environment
Shing, Yee Lee; Brod, Garvin – Mind, Brain, and Education, 2016
The encoding, consolidation, and retrieval of events and facts form the basis for acquiring new skills and knowledge. Prior knowledge can enhance those memory processes considerably and thus foster knowledge acquisition. But prior knowledge can also hinder knowledge acquisition, in particular when the to-be-learned information is inconsistent with…
Descriptors: Prior Learning, Memory, Brain Hemisphere Functions, Diagnostic Tests
Liu, Han-Chin – Journal of Educational Computing Research, 2018
Multimedia students' dependence on information from the outside world can have an impact on their ability to identify and locate information from multiple resources in learning environments and thereby affect the construction of mental models. Field dependence-independence has been used to assess the ability to extract essential information from…
Descriptors: Cognitive Style, Multimedia Instruction, Visual Perception, Eye Movements
Hsu, Yuling; Gao, Yuan; Liu, Tzu-Chien; Sweller, John – Educational Technology & Society, 2015
Based on cognitive load theory, the effect of different levels of instructional detail and expertise in a simulation-based environment on learning about concepts of correlation was investigated. Separate versions of the learning environment were designed for the four experimental conditions which differed only with regard to the levels of written…
Descriptors: Foreign Countries, High School Students, Public Schools, Grade 10
Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Journal of Learning Analytics, 2015
Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…
Descriptors: Educational Environment, Computer Assisted Instruction, Independent Study, Learning Strategies
Nokes, Timothy J.; Hausmann, Robert G. M.; VanLehn, Kurt; Gershman, Sophia – Instructional Science: An International Journal of the Learning Sciences, 2011
Cognitive science principles should have implications for the design of effective learning environments. The self-explanation principle was chosen for the current work because it has developed significantly over the last 20 years. Early formulations hypothesized that self-explanation facilitated inference generation to supply missing information…
Descriptors: Prior Learning, Physics, Cognitive Psychology, Cognitive Science
Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8
Rouet, Jean-Francois – Learning and Instruction, 2009
Designers of interactive learning environments face the issue of managing the learner's cognitive load, reducing irrelevant sources while optimizing useful sources of load. I propose a conceptual framework aimed at organizing the contributions of the papers presented in this special issue. The framework identifies three main dimensions, namely…
Descriptors: Familiarity, Computer Assisted Instruction, Prior Learning, Learning Activities
Kalyuga, Slava – Educational Psychology Review, 2007
The interactions between levels of learner prior knowledge and effectiveness of different instructional techniques and procedures have been intensively investigated within a cognitive load framework since mid-90s. This line of research has become known as the expertise reversal effect. Apart from their cognitive load theory-based prediction and…
Descriptors: Prior Learning, Instructional Systems, Teaching Methods, Investigations
Verhoeven, Ludo; Schnotz, Wolfgang; Paas, Fred – Learning and Instruction, 2009
The focus of this special issue is on the cognitive load underlying processes of interactive knowledge construction in a wide range of instructional multimedia platforms. Multimedia comprehension involves the parallel processing of auditory-verbal and visual-pictorial channels within working memory. By means of integrating multimodal information,…
Descriptors: Prior Learning, Perspective Taking, Short Term Memory, Cognitive Processes
Stark, Robin; Puhl, Thomas; Krause, Ulrike-Marie – Evaluation & Research in Education, 2009
Starting from difficulties that students of education display when they interpret empirical findings and generate scientific arguments, a problem-based e-learning environment was developed. Based on first evaluation data, an elaboration tool was integrated into the learning environment. The tool consisted of a modelling and an explanation part. In…
Descriptors: Electronic Learning, Persuasive Discourse, Seminars, Computer Assisted Instruction
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