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Pifarre, Manoli; Kleine Staarman, Judith – International Journal of Computer-Supported Collaborative Learning, 2011
This paper explores how wikis may be used to support primary education students' collaborative interaction and how such an interaction process can be characterised. The overall aim of this study is to analyse the collaborative processes of students working together in a wiki environment, in order to see how primary students can actively create a…
Descriptors: Science Projects, Interaction, Teaching Methods, Cooperative Learning
Dohn, Nina Bonderup – International Journal of Computer-Supported Collaborative Learning, 2009
This article takes a renewed look at the concept of "affordance." It points out that the concept is being used within the CSCL community in ways which signify an underlying disagreement concerning the exact ontological nature and epistemological status of an "affordance." Such disagreement, it is argued, is a problem for both design and empirical…
Descriptors: Definitions, Educational Philosophy, Educational Research, Epistemology
Schwarz, Baruch B.; Schur, Yaron; Pensso, Haim; Tayer, Naama – International Journal of Computer-Supported Collaborative Learning, 2011
Changing practices in schools is a very complex endeavor. This paper is about new practices we prompted to foster collaboration and critical reasoning in science classrooms: the presentation of pictures representing different perspectives, small group synchronous argumentation, and moderation of synchronous argumentation. A CSCL tool helped in…
Descriptors: Persuasive Discourse, Perspective Taking, Concept Formation, Grade 8
Scheuer, Oliver; Loll, Frank; Pinkwart, Niels; McLaren, Bruce M. – International Journal of Computer-Supported Collaborative Learning, 2010
Argumentation is an important skill to learn. It is valuable not only in many professional contexts, such as the law, science, politics, and business, but also in everyday life. However, not many people are good arguers. In response to this, researchers and practitioners over the past 15-20 years have developed software tools both to support and…
Descriptors: Feedback (Response), Persuasive Discourse, Literature Reviews, Cooperative Learning
Tchounikine, Pierre – International Journal of Computer-Supported Collaborative Learning, 2008
This paper presents a conceptual analysis of the technological dimensions related to the operationalization of CSCL macro-scripts. CSCL scripts are activity models that aim at enhancing the probability that knowledge generative interactions such as conflict resolution, explanation or mutual regulation occur during the collaboration process. We…
Descriptors: Cooperation, Models, Educational Technology, Computer Uses in Education
Dillenbourg, Pierre; Hong, Fabrice – International Journal of Computer-Supported Collaborative Learning, 2008
Macro scripts structure collaborative learning and foster the emergence of knowledge-productive interactions such as argumentation, explanations and mutual regulation. We propose a pedagogical model for the designing of scripts and illustrate this model using three scripts. In brief, a script disturbs the natural convergence of a team and in doing…
Descriptors: Educational Technology, Computer Uses in Education, Computer Mediated Communication, Computer System Design
Gressick, Julia; Derry, Sharon J. – International Journal of Computer-Supported Collaborative Learning, 2010
We conducted research within a program serving future mathematics and science teachers. Groups of teachers worked primarily online in an asynchronous discussion environment on a 6-week task in which they applied learning-science ideas acquired from an educational psychology course to design interdisciplinary instructional units. We employed an…
Descriptors: Educational Psychology, Mathematics Education, Science Education, Leadership
Kobbe, Lars; Weinberger, Armin; Dillenbourg, Pierre; Harrer, Andreas; Hamalainen, Raija; Hakkinen, Paivi; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2007
Collaboration scripts facilitate social and cognitive processes of collaborative learning by shaping the way learners interact with each other. Computer-supported collaboration scripts generally suffer from the problem of being restrained to a specific learning platform. A standardization of collaboration scripts first requires a specification of…
Descriptors: Cognitive Processes, Educational Technology, Computer Assisted Instruction, Instructional Design
Schoonenboom, Judith – International Journal of Computer-Supported Collaborative Learning, 2008
This study focuses on how to support students who have to work together in small groups, and who do not know each other, in performing grounding discussion. It compares two different implementations of a script, one using a structured interface, one using a textual instruction, on students' discussion behavior. The experiment involved two…
Descriptors: Comparative Analysis, Instructional Effectiveness, Educational Technology, Computer Uses in Education
Herrmann, Thomas; Kienle, Andrea – International Journal of Computer-Supported Collaborative Learning, 2008
Computer-supported discursive learning (CSDL) systems for the support of asynchronous discursive learning need to fulfill specific socio-technical conditions. To understand these conditions, we employed design experiments combining aspects of communication theory, empirical findings, and continuous improvement of the investigated prototypes. Our…
Descriptors: Design Requirements, Documentation, Experiments, Guidelines
Buder, Jurgen; Bodemer, Daniel – International Journal of Computer-Supported Collaborative Learning, 2008
This paper describes the development of augmented group awareness tools that take mutual user ratings of their online discussion contributions as input, aggregate these data, and visually feed these data back to the members in real time, thereby informing participants about how the group as a whole perceives their contributions. A specific group…
Descriptors: Controversial Issues (Course Content), Feedback (Response), Vignettes, Physics
Nett, Bernhard – International Journal of Computer-Supported Collaborative Learning, 2008
Educators who are prepared to make use of CSCL can find themselves restricted in their space for maneuvering regarding educational innovation. As a supportive context can be very important for them, the study presented here describes and analyzes a related case of a Community of Practice (CoP) among tutors contributing to the development and…
Descriptors: Seminars, Student Participation, Educational Innovation, College Faculty
Suthers, Daniel D. – International Journal of Computer-Supported Collaborative Learning, 2006
Now well into its second decade, the field of Computer-Supported Collaborative Learning (CSCL) appears healthy, encompassing a diversity of topics of study, methodologies, and representatives of various research communities. It is an appropriate time to ask: what central questions can integrate our work into a coherent field? This paper proposes…
Descriptors: Educational Research, Research Needs, Epistemology, Interdisciplinary Approach
Ares, Nancy – International Journal of Computer-Supported Collaborative Learning, 2008
This paper presents results of a case study conducted in secondary mathematics classrooms using a new generation of networked classroom technology (Participatory Simulations). Potential for drawing on youths' cultural practices in networked learning environments is explored in terms of opportunities for traditionally underserved students to…
Descriptors: Educational Technology, Mathematics Instruction, Computer Networks, Case Studies
Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving
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