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      Five Strategies for Optimizing Instructional Materials: Instructor- and Learner-Managed Cognitive Load

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          Abstract

          Researchers of cognitive load theory and the cognitive theory of multimedia learning have identified several strategies to optimize instructional materials. In this review article we focus on five of these strategies or solutions to problematic instructional designs in multimedia learning: (a) the multimedia principle (use visualizations and drawings to complement texts); (b) the split-attention effect or spatial contiguity principle (show texts contiguously or integrated with visualizations); (c) the redundancy effect, alike the coherence principle (remove nonessential learning information); (d) the signaling principle (cue or signal essential learning information); and (e) the transient information effect or segmenting principle (segment or control the pace of animations and videos). Usually, both cognitive theories have investigated solutions that instructors, teachers, and designers should pursue to optimize students’ learning. Here, in a novel approach, we show that these strategies can also be used by learners who want to self-manage their cognitive load and learning process. We provide several examples of both instructor- and learner-managed solutions aligned with these strategies. When assessing which agent, either the instructor or the learner, was most effective, we observed mixed results in the literature. However, the expertise reversal effect may help predict the direction of these effects: novice students may learn better under instructor-managed conditions, whereas more expert students may learn more under learner-managed conditions.

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          COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses

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            Working Memory: Theories, Models, and Controversies

            I present an account of the origins and development of the multicomponent approach to working memory, making a distinction between the overall theoretical framework, which has remained relatively stable, and the attempts to build more specific models within this framework. I follow this with a brief discussion of alternative models and their relationship to the framework. I conclude with speculations on further developments and a comment on the value of attempting to apply models and theories beyond the laboratory studies on which they are typically based.
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              The magical number 4 in short-term memory: A reconsideration of mental storage capacity

              Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. However, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit. Others have since suggested that there is a more precise capacity limit, but that it is only three to five chunks. The present target article brings together a wide variety of data on capacity limits suggesting that the smaller capacity limit is real. Capacity limits will be useful in analyses of information processing only if the boundary conditions for observing them can be carefully described. Four basic conditions in which chunks can be identified and capacity limits can accordingly be observed are: (1) when information overload limits chunks to individual stimulus items, (2) when other steps are taken specifically to block the recoding of stimulus items into larger chunks, (3) in performance discontinuities caused by the capacity limit, and (4) in various indirect effects of the capacity limit. Under these conditions, rehearsal and long-term memory cannot be used to combine stimulus items into chunks of an unknown size; nor can storage mechanisms that are not capacity-limited, such as sensory memory, allow the capacity-limited storage mechanism to be refilled during recall. A single, central capacity limit averaging about four chunks is implicated along with other, noncapacity-limited sources. The pure STM capacity limit expressed in chunks is distinguished from compound STM limits obtained when the number of separately held chunks is unclear. Reasons why pure capacity estimates fall within a narrow range are discussed and a capacity limit for the focus of attention is proposed.
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                Author and article information

                Contributors
                jccastro@ciae.uchile.cl
                b.b.dekoning@essb.eur.nl
                lfiorella@uga.edu
                paas@essb.eur.nl
                Journal
                Educ Psychol Rev
                Educ Psychol Rev
                Educational Psychology Review
                Springer US (New York )
                1040-726X
                1573-336X
                9 March 2021
                : 1-29
                Affiliations
                [1 ]GRID grid.443909.3, ISNI 0000 0004 0385 4466, Center for Advanced Research in Education, Institute of Education, , Universidad de Chile, ; Santiago, Chile
                [2 ]GRID grid.6906.9, ISNI 0000000092621349, Department of Psychology, Education, and Child Studies, , Erasmus University Rotterdam, ; Rotterdam, The Netherlands
                [3 ]GRID grid.213876.9, ISNI 0000 0004 1936 738X, Department of Educational Psychology, , University of Georgia, ; Athens, GA USA
                [4 ]GRID grid.1007.6, ISNI 0000 0004 0486 528X, School of Education/Early Start, , University of Wollongong, ; Wollongong, Australia
                Author information
                http://orcid.org/0000-0003-3186-3717
                Article
                9606
                10.1007/s10648-021-09606-9
                7940870
                33716467
                e870fe50-a6b0-4d86-859b-64d24b3c706e
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 14 February 2021
                Funding
                Funded by: Agencia Nacional de Investigación y Desarrollo
                Award ID: ANID/PIA/Basal Funds for Centers of Excellence FB0003
                Award ID: Fondecyt 11180255
                Award Recipient :
                Categories
                Review Article

                cognitive load theory,cognitive theory of multimedia learning,generative learning,self-management,self-regulated learning

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