Towards Networked Learning Analytics – A concept and a tool(10)

Networked learning is much more ambitious than previous approaches of ICT-support in education. It is therefore more difficult to evaluate the effectiveness and efficiency of the networked learning activities. Evaluation of learners ’ interactions in netw

This algorithm has been used for finding association rules among students in correlation with the activities they have performed. In this way, we can identify clusters of students who have strong learning preferences, e.g. giving priority in reading theory than examples, etc. With this algorithm one can find out that a learner does not belong to a cluster that contains a number of performed activities. On the other hand, one can easily see that a cluster, which contains some of the overall activities, consists of a number of learners, meaning that these learners did not in turn performed these activities in some paths or sessions.

Finally, our approach accords to the philosophy of the quantitative analysis techniques of asynchronous learners’ interaction in discussion fora. More specifically, analysing data from the use of a discussion forum, means that apart from producing descriptive statistics, such number of postings per learner, number of replies, etc., the lecturer can annotate the messages using her preferable schema (e.g. such as proposal, contra-proposal, question, comment, clarification, and agreement (Barros & Verdejo, 1999; Mühlenbrock, 2004) and then getting descriptive statistical results from the analysis of the interactions based on that schema. Distinguishing when groups are talking about the concepts to be learned (conceptual) from when they are talking about procedures for completing the task (non-conceptual) provides a picture of how groups approach the tasks, be it collaboratively (conceptual) or cooperatively (non-conceptual).

Moreover, with the aid of the tool, we can export data in the appropriate format so that it can be used as input to other tools such as NetDrawTM for social network analysis.

Figure 1. A screenshot of CosyLMSAnalytics tool

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