PittsburghV1, France, Analysis, bibRecord, 000664

Leveraging Researcher Multivocality for Insights on Collaborative Learning - White Paper

Identifieur interne : 000664 ( France/Analysis ); précédent : 000663; suivant : 000665

Leveraging Researcher Multivocality for Insights on Collaborative Learning - White Paper

Auteurs : Carolyn P. Rosé [États-Unis] ; Gregory Dyke [États-Unis] ; Nancy Law [République populaire de Chine] ; Kris Lund [France] ; Dan Suthers [États-Unis] ; Christopher Teplovs [Danemark] ; Ulrike Cress [Allemagne]

Source :

RBID : Hal:hal-00692027

Abstract

This workshop targets researchers in the Learning Sciences, Computer Supported Collaborative Learning (CSCL) and Technology Enhanced Learning (TEL) communities who are interested in how human interaction leads to learning. Such researchers come from many different disciplines (psychology, linguistics, cognitive science, computer science, didactics, etc.) and thus employ diverse methods in pursuing their specific research goals as well as hold diverse theoretical assumptions in relation to these goals. Many of us are interested in the richness that an interdisciplinary approach to studying learning in human interaction can provide, but in order to profit from this, we must find a systematic way of leveraging our diversity to further our understanding in spite of potential incommensurable differences that may occur across traditions. Recognizing this diversity as a necessary multivocality has led our group to reflect upon ways in which such multivocality can be productive for the communities involved. In particular our objective is to make progress towards better understanding the role of human interaction in learning, an understanding that should transcend disciplinary boundaries. This workshop proposes a systematic method for promoting fresh dialogue between the relevant research traditions with the objective of making new claims about learning.

Url:

https://hal.archives-ouvertes.fr/hal-00692027

Affiliations:

Allemagne, Danemark, France, République populaire de Chine, États-Unis

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000361
to stream Hal, to step Curation: 000361
to stream Hal, to step Checkpoint: 000432
to stream Main, to step Merge: 00AA88
to stream Main, to step Curation: 00A338
to stream Main, to step Exploration: 00A338
to stream France, to step Extraction: 000664

Links to Exploration step

Hal:hal-00692027

Le document en format XML

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<front><div type="abstract" xml:lang="en">This workshop targets researchers in the Learning Sciences, Computer Supported Collaborative Learning (CSCL) and Technology Enhanced Learning (TEL) communities who are interested in how human interaction leads to learning. Such researchers come from many different disciplines (psychology, linguistics, cognitive science, computer science, didactics, etc.) and thus employ diverse methods in pursuing their specific research goals as well as hold diverse theoretical assumptions in relation to these goals. Many of us are interested in the richness that an interdisciplinary approach to studying learning in human interaction can provide, but in order to profit from this, we must find a systematic way of leveraging our diversity to further our understanding in spite of potential incommensurable differences that may occur across traditions. Recognizing this diversity as a necessary multivocality has led our group to reflect upon ways in which such multivocality can be productive for the communities involved. In particular our objective is to make progress towards better understanding the role of human interaction in learning, an understanding that should transcend disciplinary boundaries. This workshop proposes a systematic method for promoting fresh dialogue between the relevant research traditions with the objective of making new claims about learning.</div>
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	Serveur d'exploration sur Pittsburgh
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Serveur d'exploration sur Pittsburgh

Leveraging Researcher Multivocality for Insights on Collaborative Learning - White Paper

Leveraging Researcher Multivocality for Insights on Collaborative Learning - White Paper

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