Learning strategies and multimedia techniques for scaffolding size and scale cognition

Size and scale cognition is a critical aptitude associated with reasoning with concepts and systems in science, technology, engineering, and mathematics (STEM). However, the teaching and learning of concepts related to size and scale present major challenges because objects at certain scales are unable to be perceived by humans with the naked eye. A potential way to overcome this challenge could be by means of learning strategies coupled with multimedia learning. In this study we propose learning strategies, instantiated by multimedia are for learning tools that may result in improved learning of size and scale cognition based on the FS2C framework. This framework consists of five levels to characterize size and scale cognition and the cognitive processes supporting them. Participants of this quasi-experimental design included 224 undergraduate students who experienced one of three different multimedia for learning tools, and then were assessed through five tasks whose design was based on the FS2C framework. Results suggest that learning strategies prompting students to compare objects of different sizes, may increase their abilities in ordering and classifying objects. Having students to interact with a logarithmic scale may also have increased participant posttest performance scores in the numerical proportional and absolute measurement tasks. Finally, we propose that the use of multimedia for learning affordances like 3D interaction, zoom in and zoom out, and direct interaction with a scale metaphor may help students make explicit connections and become familiar with objects of different sizes and scales. Students increased their performance in most of the tasks associated with the FS2C framework.Significant increases in all groups occurred for the classifying and numerical proportional tasks.Significant increases occurred for the NS group in the ordering and measurement tasks.Significant increases occurred for the US group in the logical proportional and measurement tasks.Comparisons of objects seem to be beneficial when assisted by interactive features and visual aids.

[1]  Alfred Bork,et al.  Multimedia in Learning , 2001 .

[2]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[3]  D. Gentner,et al.  Structure mapping in analogy and similarity. , 1997 .

[4]  Sean Brophy,et al.  An Integrated Knowledge Framework to Characterize and Scaffold Size and Scale Cognition (FS2C) , 2012 .

[5]  Helen R. Quinn A Framework for K-12 Science Education , 2012 .

[6]  Sean Brophy,et al.  Comparing Novice and Expert Perceptions of Interactive Multimedia Tools for Conveying Conceptions of Size and Scale , 2012 .

[7]  Mark F. Horstemeyer,et al.  Multiscale Modeling: A Review , 2009 .

[8]  E. Rosch Cognitive Representations of Semantic Categories. , 1975 .

[9]  Mireille Betrancourt,et al.  The Cambridge Handbook of Multimedia Learning: The Animation and Interactivity Principles in Multimedia Learning , 2005 .

[10]  K. Holyoak,et al.  Children's development of analogical reasoning: insights from scene analogy problems. , 2006, Journal of experimental child psychology.

[11]  Lucia Mason,et al.  Fostering Understanding by Structural Alignment as a Route to Analogical Learning , 2004 .

[12]  Richard E. Mayer,et al.  The Cambridge Handbook of Multimedia Learning: Introduction to Multimedia Learning , 2005 .

[13]  Timothy J. Newby,et al.  Learning abstract concepts: The use of analogies as a mediational strategy , 1987 .

[14]  Eleanor Rosch,et al.  Principles of Categorization , 1978 .

[15]  Mariana G. Hewson,et al.  The role of conceptual conflict in conceptual change and the design of science instruction , 1984 .

[16]  Lyn D. English Promoting the Development of Young Children's Mathematical and Analogical , 2004 .

[17]  M. Linn,et al.  Learning and Instruction: An Examination of Four Research Perspectives in Science Education , 1988 .

[18]  Richard E. Mayer,et al.  Introduction to Multimedia Learning , 2020, Multimedia Learning.

[19]  U. Goswami,et al.  Does half a pizza equal half a box of chocolates?: Proportional matching in an analogy task , 2001 .

[20]  Dedre Gentner,et al.  Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..

[21]  D. Gentner,et al.  The analogical mind : perspectives from cognitive science , 2001 .

[22]  Richard E. Mayer,et al.  The Cambridge Handbook of Multimedia Learning: Principles for Reducing Extraneous Processing in Multimedia Learning : Coherence, Signaling, Redundancy, Spatial Contiguity, and Temporal Contiguity Principles , 2005 .

[23]  Logan Fiorella,et al.  Principles for Reducing Extraneous Processing in Multimedia Learning: Coherence, Signaling, Redundancy, Spatial Contiguity and Temporal Contiguity Principles. , 2014 .

[24]  Richard E. Mayer,et al.  A Cognitive Theory of Multimedia Learning: Implications for Design Principles , 2001 .

[25]  Jamie I. D. Campbell Handbook of mathematical cognition , 2004 .

[26]  Lyn D. English Analogies, Metaphors, and Images: Vehicles for Mathematical Reasoning , 2013 .

[27]  U. Goswami Analogical reasoning in children , 1993 .

[28]  Susan J. Lamon,et al.  The Development of Unitizing: Its Role in Children's Partitioning Strategies. , 1996 .

[29]  Helen R. Quinn,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2013 .

[30]  Ruth M. Beard,et al.  The Growth of Logical Thinking , 1972 .

[31]  Sean Brophy,et al.  Scaffolding Student’s Conceptions Of Proportional Size And Scale Cognition With Analogies And Metaphors , 2008 .

[32]  Steven M. Crooks,et al.  Multimedia in a Science Learning Environment , 2005 .

[33]  R. Hainer,et al.  American Association for the Advancement of Science , 1879, Nature.

[34]  M. G. Jones,et al.  Conceptual Boundaries and Distances: Students' and Experts' Concepts of the Scale of Scientific Phenomena , 2006 .

[35]  H. Klausmeier Concept Learning and Concept Teaching , 1992 .

[36]  R. Mayer,et al.  A Split-Attention Effect in Multimedia Learning: Evidence for Dual Processing Systems in Working Memory , 1998 .