Commentary on 'Distributed Revisiting: An Analytic for Retention of Coherent Science Learning'

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Bibliographic Details
Title: Commentary on 'Distributed Revisiting: An Analytic for Retention of Coherent Science Learning'
Language: English
Authors: Hewitt, Jim
Source: Journal of Learning Analytics. 2015 2(2):102-106.
Availability: Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Peer Reviewed: Y
Page Count: 5
Publication Date: 2015
Document Type: Journal Articles
Opinion Papers
Reports - Descriptive
Descriptors: Retention (Psychology), Science Education, Educational Research, Data Collection, Data Analysis, Learning Theories, Pretests Posttests, Electronic Learning, Online Courses, Educational Environment
ISSN: 1929-7750
Abstract: The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several problems: (1) differences between the context of the research and the context of the studies that yielded the underlying theory; and (2) the challenge of constructing metrics that make accurate inferences about psychological or group processes. These problems are discussed in relation to Svihla, Wester, and Linn's paper. [For "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning," see EJ1126952.]
Abstractor: As Provided
Number of References: 4
Entry Date: 2017
Accession Number: EJ1126978
Database: ERIC
Description
Abstract:The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several problems: (1) differences between the context of the research and the context of the studies that yielded the underlying theory; and (2) the challenge of constructing metrics that make accurate inferences about psychological or group processes. These problems are discussed in relation to Svihla, Wester, and Linn's paper. [For "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning," see EJ1126952.]
ISSN:1929-7750