Cognitive load theory, attentional processes and optimized learning outcomes in a digital environment

Author(s):  
Renae Low ◽  
Putai Jin ◽  
John Sweller
2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Intan Safiah ◽  
Muhammad Yunus

Video Presentation is a learning medium that is very supportive of the e-learning-based learning process. Learning videos can help reduce the cognitive load of learners. Cognitive load is a theoretical concept with a very central role in the educational research literature. The basic idea of cognitive load theory is that cognitive capacity in working memory is limited, so that if the learning task requires too much capacity, learning will be hampered. This study aims to review the results of research that explores the use of video presentations to overcome cognitive load in blended learning. Through a review of research on learning using a published video presentation model. The aim of this study is to identify strategies used by researchers in overcoming cognitive load in learning activities, and also to synthesize current literature on the impact of using video presentations on learning outcomes. This study uses a research library research method. The results of the study found that one way to optimize the use of working memory capacity and avoid cognitive overload is to design an instructional system, one of which is a video presentation. Cognitive load theory has been researched and proven to be overcome by using video presentations. This study openly explores the limitations of video presentations in blended learning to overcome cognitive load and improve learning outcomes by identifying a number of related conceptual, methodological and application problems.


Author(s):  
Alexander Skulmowski ◽  
Kate Man Xu

AbstractCognitive load theory has been a major influence for the field of educational psychology. One of the main guidelines of the theory is that extraneous cognitive load should be reduced to leave sufficient cognitive resources for the actual learning to take place. In recent years, research regarding various design factors, in particular from the field of digital and online learning, have challenged this assumption. Interactive learning media, immersion, disfluency, realism, and redundant elements constitute five major challenges, since these design factors have been shown to induce task-irrelevant cognitive load, i.e., extraneous load, while still promoting motivation and learning. However, currently there is no unified approach to integrate such effects into cognitive load theory. By including aspects of constructive alignment, an approach aimed at fostering deep forms of learning in order to achieve specific learning outcomes, we devise a strategy to balance cognitive load in digital learning. Most importantly, we suggest considering both the positive and negative effects on cognitive load that certain design factors of digital learning can cause. In addition, a number of research results highlight that some types of positive effects of digital learning can only be detected using a suitable assessment method. This strategy of aligning cognitive load with desired learning outcomes will be useful for formulating theory-guided and empirically testable hypotheses, but can be particularly helpful for practitioners to embrace emerging technologies while minimizing potential extraneous drawbacks.


Author(s):  
Roland Brünken ◽  
Susan Steinbacher ◽  
Jan L. Plass ◽  
Detlev Leutner

Abstract. In two pilot experiments, a new approach for the direct assessment of cognitive load during multimedia learning was tested that uses dual-task methodology. Using this approach, we obtained the same pattern of cognitive load as predicted by cognitive load theory when applied to multimedia learning: The audiovisual presentation of text-based and picture-based learning materials induced less cognitive load than the visual-only presentation of the same material. The findings confirm the utility of dual-task methodology as a promising approach for the assessment of cognitive load induced by complex multimedia learning systems.


2013 ◽  
Author(s):  
Lori B. Stone ◽  
Abigail Lundquist ◽  
Stefan Ganchev ◽  
Nora Ladjahasan

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