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Two methods for fostering collaborative behavior are compared: a feedback-mechanism to scaffold collaborative behavior, and use of distributed learning resources. Based on recent research on what constitutes effective collaboration behavior, we developed a coding scheme to categorize learner-learner interaction as collaboration. In a collaboration environment for learner dyads specifically implemented to test our hypotheses, a human observer identified, in parallel with students' interactions, instances of real collaboration, and gave online feedback. In the same two-factorial design, we varied the resources available to the partners. The influence of these interventions on outcomes related to knowledge acquisition, problem-solving, group climate and collaborative behavior was tested. Results suggest there are benefits in providing a feedback approach in fostering collaboration and enhancing problem-solving quality.

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In this paper we discuss how group processes can be influenced by designing specific tools in computer supported collaborative leaning. We present the design of a shared workspace application for co-constructive tasks that is enriched by certain functions that are able to track, analyze and feed back parameters of collaboration to group members. Thereby our interdisciplinary approach is mainly based on an integrative methodology for analyzing collaboration behavior and patterns in an implicit manner combined with explicit surveyed data of group members' attitudes and its immediate feedback to the groups. In an exploratory study we examined the influence of this feedback function. Although we could only analyze ad-hoc groups in this study, we detected some benefits of our methodology which might enrich real life Learning Communities' collaboration processes. The data analysis in our study showed advantages of this feedback on processes of a group's well-being as well as parameters of participation. These results provide a basis for further empirical work on problem solving groups that are supported by means of parallel interaction analysis as well as its re-use as information resource.