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M. Gick, K. Holyoak (1983)
Schema induction and analogical transferCognitive Psychology, 15
D. Bock, J. Deprez, W. Dooren, M. Roelens, L. Verschaffel (2011)
Abstract or concrete examples in learning mathematics? A replication and elaboration of Kaminski, Sloutsky, and Heckler’s studyJournal for Research in Mathematics Education, 42
Emily Fyfe, Nicole McNeil, Ji Son, Robert Goldstone (2014)
Concreteness Fading in Mathematics and Science Instruction: a Systematic ReviewEducational Psychology Review, 26
A. Borges, J. Gilbert (1999)
Mental models of electricityInternational Journal of Science Education, 21
(2015)
Learning versus performance: An integrative review
David Braithwaite, Robert Goldstone (2013)
Integrating Formal and Grounded Representations in Combinatorics LearningJournal of Educational Psychology, 105
L. Hedges (1981)
Distribution Theory for Glass's Estimator of Effect size and Related EstimatorsJournal of Educational Statistics, 6
W Schnotz (2005)
Cambridge handbook of multimedia learning
Emily Fyfe, Nicole McNeil, S. Borjas (2015)
Benefits of "concreteness fading" for children's mathematics understanding *Learning and Instruction, 35
A translated and compacted example of a worksheet in the fading condition (FC)
A. Demetriou, G. Spanoudis, Antigoni Mouyi (2011)
Educating the Developing Mind: Towards an Overarching ParadigmEducational Psychology Review, 23
K. Kurtz, Chun-Hui Miao, Lawrence Birnbaum, A. Markman, Bjorn Levidow (2008)
You have printed the following article : Learning by Analogical Bootstrapping
(1996)
Situated learning and education
B. Cox (1997)
The rediscovery of the active learner in adaptive contexts: A developmental-historical analysis..Educational Psychologist, 32
Tomi Jaakkola, Koen Veermans (2015)
Effects of abstract and concrete simulation elements on science learningJ. Comput. Assist. Learn., 31
S. Carey, D. Zaitchik, Igor Bascandziev (2015)
Theories of development: In dialog with Jean PiagetDevelopmental Review, 38
Tomi Jaakkola, Sami Nurmi, Koen Veermans (2011)
A comparison of students' conceptual understanding of electric circuits in simulation only and simulation‐laboratory contextsJournal of Research in Science Teaching, 48
Nicole McNeil, Emily Fyfe (2012)
“Concreteness fading” promotes transfer of mathematical knowledgeLearning and Instruction, 22
G. Salomon, D. Perkins (1989)
Rocky Roads to Transfer: Rethinking Mechanism of a Neglected PhenomenonEducational Psychologist, 24
Hermina Tabachneck-Schijf, A. Leonardo, H. Simon (1997)
CaMeRa: A Computational Model of Multiple RepresentationsCogn. Sci., 21
(2010)
Conceptual change in learning electricity: Using virtual and concrete external representations simultaneously
N. Finkelstein, W. Adams, C. Keller, P. Kohl, K. Perkins, Noah Podolefsky, S. Reid, R. LeMaster (2005)
When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipmentPhysical Review Special Topics-physics Education Research, 1
D. Gentner, Jeffrey Loewenstein, Leigh Thompson (2003)
Learning and Transfer: A General Role for Analogical EncodingJournal of Educational Psychology, 95
Robert Goldstone, Ji Son (2005)
The Transfer of Scientific Principles Using Concrete and Idealized SimulationsJournal of the Learning Sciences, 14
Thomas Shiland (2002)
Probing for Understanding.The Science Teacher, 69
M. Reiner, J. Slotta, M. Chi, L. Resnick (2000)
Naive Physics Reasoning: A Commitment to Substance-Based ConceptionsCognition and Instruction, 18
LC McDermott, PS Shaffer (1992)
Research as a guide for curriculum development: An example from introductory electricity. Part I: Investigation of student understandingAmerican Journal of Physics, 60
RT White, RF Gunstone (1992)
Probing understanding
Stephanie Siler, D. Klahr (2016)
Effects of terminological concreteness on middle-school students’ learning of experimental designJournal of Educational Psychology, 108
Robert Goldstone, Yasuaki Sakamoto (2003)
The transfer of abstract principles governing complex adaptive systemsCognitive Psychology, 46
A. Johnson, Kirsten Butcher, Gamze Ozogul, M. Reisslein (2013)
Learning from abstract and contextualized representations: The effect of verbal guidanceComput. Hum. Behav., 29
Tomi Jaakkola, Sami Nurmi (2008)
Fostering elementary school students' understanding of simple electricity by combining simulation and laboratory activitiesJ. Comput. Assist. Learn., 24
R. Moreno, Gamze Ozogul, M. Reisslein (2011)
Teaching with Concrete and Abstract Visual Representations: Effects on Students' Problem Solving, Problem Representations, and Learning Perceptions.Journal of Educational Psychology, 103
KJ Kurtz, C-H Miao, D Gentner (2001)
Learning by analogical bootstrappingThe Journal of the Learning Sciences, 10
Stephen Pape, M. Tchoshanov (2001)
The Role of Representation(s) in Developing Mathematical UnderstandingTheory Into Practice, 40
S. Ainsworth (1999)
The functions of multiple representationsComput. Educ., 33
(2008)
The Advantage of Abstract Examples in Learning MathScience, 320
M. Chi, P. Feltovich, R. Glaser (1981)
Categorization and Representation of Physics Problems by Experts and NovicesCogn. Sci., 5
J. Larkin, H. Simon (1987)
Why a Diagram is (Sometimes) Worth Ten Thousand WordsCogn. Sci., 11
R. Mayer (2005)
The Cambridge handbook of multimedia learning, 1st Edition
T Jaakkola, S Nurmi, E Lehtinen (2010)
Use of representations in reasoning and problem solving. Analysis and improvement
S. Ainsworth (2006)
DeFT: A Conceptual Framework for Considering Learning with Multiple Representations.Learning and Instruction, 16
P. Schaffer, L. McDermott (1992)
Research as a guide for curriculum development: An example from introductory electricity
The present study investigates the effects that concreteness fading has on learning and transfer across three grade levels (4–6) in elementary school science education in comparison to learning with constantly concrete representations. 127 9- to 12-years-old elementary school students studied electric circuits in a computer-based simulation environment, where circuits remained concrete (bulbs) throughout the learning or faded from concrete to abstract (bulbs to resistors). The most important finding was that the outcomes seemed to be influenced by a developmental factor: the study found a significant interaction between condition and grade level in relation to learning outcomes, suggesting that the outcomes generally improved as a function of grade level, but that there were notable differences between the conditions regarding the improvement of outcomes across the three grades. According the results, learning with constantly concrete representations either took less time or resulted in better learning compared to concreteness fading. Because transfer is one of the central arguments for concreteness fading, a somewhat surprising finding was that the concrete condition succeeded at least as well as the fading condition on transfer tasks. The study also discusses why the results and issues related to the conceptualisation and operationalisation of central concepts in the study call for caution towards generalization and for more research with young learners across different grades.
Instructional Science – Springer Journals
Published: Oct 12, 2017
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