IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Addressing Contemporary Challenges in Cognitively-Complex Collaboration with CoPe_it!

Addressing Contemporary Challenges in Cognitively-Complex Collaboration with CoPe_it!
View Sample PDF
Author(s): Nikos Karacapilidis (University of Patras & Research Academic Computer Technology Institute, Greece), Manolis Tzagarakis (University of Patras & Research Academic Computer Technology Institute, Greece), Nikos Karousos (Hellenic Open University, Greece), George Gkotsis (University of Patras, Greece), Vassilis Kallistros (Research Academic Computer Technology Institute, Greece), Spyros Christodoulou (Research Academic Computer Technology Institute, Greece), Christos Mettouris (Research Academic Computer Technology Institute, Greece)and Dora Nousia (Research Academic Computer Technology Institute, Greece)
Copyright: 2011
Pages: 17
Source title: Dynamic Advancements in Teaching and Learning Based Technologies: New Concepts
Source Author(s)/Editor(s): Eugenia M. W. Ng (Hong Kong Institute of Education, China), Nikos Karacapilidis (University of Patras, Greece)and Mahesh Raisinghani (Texas Woman’s University, USA)
DOI: 10.4018/978-1-60960-153-9.ch011

Purchase

View Addressing Contemporary Challenges in Cognitively-Complex Collaboration with CoPe_it! on the publisher's website for pricing and purchasing information.

Abstract

In this article, we demonstrate how CoPe_it! – a web-based argumentative collaboration support tool – enables one to manage cognitively-complex collaboration settings, that is settings characterized by big volumes of interrelated data obtained from diverse sources and knowledge expressed by diverse participants. The CoPe_it! approach focuses on issues related to the representation of such settings and aims at making it easier for participants to follow the evolution of a collaboration, comprehend it in its entirety, and meaningfully aggregate data in order to resolve the issue under consideration.

Related Content

Sylvia Robertson. © 2023. 28 pages.
Dimitrios Stamovlasis, Charalampos Tsanidis. © 2023. 23 pages.
Ikram Chelliq, Lamya Anoir, Mohamed Erradi, Mohamed Khaldi. © 2023. 26 pages.
Vasiliki Ioakeimidou. © 2023. 27 pages.
Eleni Bonti. © 2023. 25 pages.
Lamya Anoir, Ikram Chelliq, Mohamed Erradi, Mohamed Khaldi. © 2023. 29 pages.
Shibu Puthalath, M. R. Mallaiah, Viswesh Sekhar. © 2023. 17 pages.
Body Bottom