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ERIC Number: EJ1101637
Record Type: Journal
Publication Date: 2016
Pages: 19
Abstractor: As Provided
ISSN: ISSN-1743-9884
Integrating Data across Digital Activities
DiCerbo, Kristen
Learning, Media and Technology, v41 n2 p233-251 2016
The volume of data that can be captured and stored from students' everyday interactions with digital environments allows for the creation of models of student knowledge, skills, and attributes unobtrusively. However, models and techniques for transforming these data into information that is useful for educators have not been established. This paper explores the use of learning progressions and Bayesian networks (BayesNets) as tools for aggregating evidence across digital learning environments. It includes a worked example demonstrating both the technical creation of a BayesNet and potential classroom application to monitor students' proficiency as they interact with a range of digital media environments.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Grade 7; Junior High Schools; Middle Schools; Elementary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A