430
Views
12
CrossRef citations to date
0
Altmetric
Articles

Frames for learning science: analyzing learner positioning in a technology-enhanced science project

&
Pages 396-415 | Received 01 Feb 2015, Accepted 07 Sep 2015, Published online: 27 Oct 2015
 

Abstract

In this article, we examine the relationship between how students are positioned in social encounters and how this influences learning in a technology-supported science project. We pursue this topic by focusing on the participation trajectory of one particular learner. The analysis shows that the student cannot be interpreted as one type of student having only one type of identity as a learner. His position as a learner shifts multiple times during the instructional trajectory. We discuss the different consequences that this has on the student's participation and learning of science.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Kenneth Silseth is a postdoctoral fellow at the Department of Education, University of Oslo. Among his research interests are student's identity work and learning trajectories in and across settings, and the use of different types of technologies in these processes. Silseth has published journal articles on such topics as game-based learning, simulations, social media, and digital storytelling.

Associate Professor Hans Christian Arnseth is an expert in the field of Computer-supported Collaborative Learning, the use of interaction analysis to study learning and identity construction in and across formal and informal learning contexts, and the use of games and simulations in learning.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,143.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.