The design of personal mobile technologies for lifelong learning
Computers & Education - VIRTUALITY IN EDUCATION selected contributions from the CAL 99 symposium
A cognitive framework for cooperative problem solving with argument visualization
Visualizing argumentation
Computers & Education - Documenting collaborative interactions: Issues and approaches
CSCL in higher education?: a framework for designing multiple collaborative environments
What we know about CSCL and implementing it in higher education
Supporting learners: Increasing complexity?
Computers in Human Behavior
Looking for evidence of learning: Assessment and analysis methods for online discourse
Computers in Human Behavior
Cognition and learning in the digital age: Promising research and practice
Computers in Human Behavior
Computers in Human Behavior
Computers in Human Behavior
The integration of synchronous communication across dual interaction spaces
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
Computers in Human Behavior
External and mental referencing of multiple representations
Computers in Human Behavior
Computers in Human Behavior
Guiding students' online complex learning-task behavior through representational scripting
Computers in Human Behavior
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This study examined the effects of scripting learners' use of two types of representational tools (i.e., causal and simulation) on their online collaborative problem-solving. Scripting sequenced the phase-related part-task demands and made them explicit. This entailed (1) defining the problem and proposing multiple solutions (i.e., problem-solution) and (2) evaluating solutions and coming to a definitive solution (i.e., solution-evaluation). The causal tool was hypothesized to be best suited for problem solution and the simulation tool for solution evaluation. Teams of learners in four experimental conditions carried out the part-tasks in a predefined order, but differed in the tools they received. Teams in the causal-only and simulation-only conditions received either a causal or a simulation tool for both part-tasks. Teams in the causal-simulation and simulation-causal conditions received both tools in suited and unsuited order respectively. Results revealed that teams using the tool suited to each part-task constructed more task appropriate representations and were better able to share and negotiate knowledge. As a consequence, they performed better on the complex learning-task. Although all learners individually gained more domain knowledge, no differences were obtained between conditions.