DocumentCode
2963178
Title
Opportunities and Challenges for Adaptive Collaborative Support in Distributed Learning Environments: Evaluating the GLUE! Suite of Tools
Author
Karakostas, Anastasios ; Prieto, Luis P. ; Dimitriadis, Yannis
Author_Institution
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear
2012
fDate
4-6 July 2012
Firstpage
446
Lastpage
450
Abstract
Adaptive Collaborative Scripting systems provide learning benefits by adapting leaner scaffolding to the students and their current context. However, their development is still in its infancy and they are not widespread in the Technology Enhanced Learning TEL practice, which often uses VLEs like Moodle and other Web 2.0 tools. In order to assess the feasibility of applying the ACS approach on a larger scale, this paper presents the initial results of a short-term evaluation of the GLUE! suite of tools. The main goal of this specific evaluation process was to identify possible opportunities and ideas on how to design and deploy adaptive Computer- Supported Collaborative Learning (CSCL) activities using widespread VLEs and Web 2.0 tools in order to maximise community acceptance and lower development efforts. The main findings of the evaluation provide incentive to further explore both the impact and the complexity of the design and the deployment of adaptive collaboration scripts.
Keywords
Internet; computer aided instruction; distance learning; ACS approach; CSCL activities; GLUE! tool suite evaluation; Moodle; TEL; VLE; Web 2.0 tools; adaptive collaborative scripting systems; adaptive computer-supported collaborative learning activities; distributed learning environments; group learning unified environment; leaner scaffolding; students; technology enhanced learning; virtual learning environment; Adaptation models; Adaptive systems; Collaboration; Collaborative work; Context; Educational institutions; CLUE!; Computer-supported; adaptive collaboration scripts; collaborative learning; flow patterns;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4673-1642-2
Type
conf
DOI
10.1109/ICALT.2012.58
Filename
6268145
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