Search results for author:"Bruce Sherin"
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A Computational Study of Commonsense Science: An Exploration in the Automated Analysis of Clinical Interview Data
Bruce Sherin
Journal of the Learning Sciences Vol. 22, No. 4 (2013) pp. 600–638
A large body of research in the learning sciences has focused on students' commonsense science knowledge--the everyday knowledge of the natural world that is gained outside of formal instruction. Although researchers studying commonsense...
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Learning Analytics and Computational Techniques for Detecting and Evaluating Patterns in Learning: An Introduction to the Special Issue
Taylor Martin; Bruce Sherin
Journal of the Learning Sciences Vol. 22, No. 4 (2013) pp. 511–520
The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences,...
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Scaffolding Analysis: Extending the Scaffolding Metaphor to Learning Artifacts
Bruce Sherin; Brian J. Reiser; Daniel Edelson
Journal of the Learning Sciences Vol. 13, No. 3 (2004) pp. 387–421
The scaffolding metaphor was originally developed to describe the support given by a more expert individual in a one-on-one interaction. Since then, the notion of scaffolding has been applied more broadly, and it has been transformed and generalized....
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Automated Scoring of Teachers' Open-Ended Responses to Video Prompts: Bringing the Classroom-Video-Analysis Assessment to Scale
Nicole B. Kersting; Bruce L. Sherin; James W. Stigler
Educational and Psychological Measurement Vol. 74, No. 6 (December 2014) pp. 950–974
In this study, we explored the potential for machine scoring of short written responses to the Classroom-Video-Analysis (CVA) assessment, which is designed to measure teachers' usable mathematics teaching knowledge. We created naïve Bayes...
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Learning linkages: Integrating data streams of multiple modalities and timescales
Ran Liu; John Stamper; Jodi Davenport; Scott Crossley; Danielle McNamara; Kalonji Nzinga; Bruce Sherin
Journal of Computer Assisted Learning Vol. 35, No. 1 (February 2019) pp. 99–109
Increasingly, student work is being conducted on computers and online, producing vast amounts of learning‐related data. The educational analytics fields have produced many insights about learning based solely on tutoring systems' automatically...