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© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The paper presents a theoretical framework of four digital learning spaces: Individual space, Working group, Community of interest, and Open connections. The theoretical framework aims to highlight the unique potentials of digital technologies to expand learning activities. More specifically, the framework contributes with descriptions of specific learning activities that highlight the learning potentials of different social forms as well as learning potentials of digital technologies. The paper highlights learning potentials of digital technologies within each learning space; digital technologies as cognitive partners, collaboration tools, sharing tools, and as network relations and network effects. The framework is developed on the shoulders of existing educational frameworks, and contributes to learning technology research by combining conceptions of social forms, learning theory, and digital technology studies. Further, the framework is directed towards educational practice as a tool to develop learning activities, and to design digital learning spaces. The framework intends to function as a guiding framework that can help teachers and developers to focus on different levels of learning spaces and specific learning activities. Finally, the paper argues that digital technologies have the potential to expand opportunities for learning: specifically, to expand individual agency (within the individual space), collaborative knowledge building (within the working group), transparency (within a community of interest), and interaction with the outside world (through open connections).

Details

Title
A theoretical framework for digital learning spaces: learning in individual spaces, working groups, communities of interest, and open connections
Author
Dalsgaard, Christian; Ryberg, Thomas
Section
Original Research Articles
Publication year
2023
Publication date
2023
Publisher
Association for Learning Technology
ISSN
21567069
e-ISSN
21567077
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2870849873
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.