The impact of interaction analysis graphs on groups during online collaboration through blogs according to the "learning by design" scenario (original) (raw)

2011

Abstract

This paper presents empirical research results about the impact of Interaction Analysis (IA) graphs to groups of students collaborating through online blogging according to a “learning by design” scenario. The IA graphs used are of two categories, the first category summarizes quantitatively the activity of the users for each blog permitting the comparison of students’ activity level in a group while the second category permits the comparison among different groups. The statistical analysis of the students’ interactions shows significant impact of the graphs presence to the number of posts and comments produced by the groups. Furthermore the graphs of the first category (intra-group IA) have stronger consequences than the graphs of the second (intergroup IA). The results support the general claim that interaction analysis is an important component for self regulation in computer supported collaborative learning environments.

Georgios Fesakis hasn't uploaded this paper.

Let Georgios know you want this paper to be uploaded.

Ask for this paper to be uploaded.