
Evaluation of Individual Contribution in Blended Collaborative Learning
Author(s) -
Shurui Gao,
Jiaqi Liu,
Hongbo Zheng,
Fati Wu
Publication year - 2021
Publication title -
journal of educational technology development and exchange
Language(s) - English
Resource type - Journals
eISSN - 1941-8035
pISSN - 1941-8027
DOI - 10.18785/jetde.1402.05
Subject(s) - collaborative learning , computer science , blended learning , process (computing) , value (mathematics) , cooperative learning , knowledge management , educational technology , mathematics education , teaching method , psychology , machine learning , operating system
With the deepening of classroom teaching reform, blended collaborative learning has become a common collaborative learning method, and its significance and value has been verified by many parties. However, there is still a lack of quantitative analysis and detailed insight into the internal interaction dynamics of the group at the individual level. There are limitations in the evaluation dimensions and methods of individual contribution in collaborative learning in previous studies, so it is difficult to obtain a comprehensive evaluation of individual contribution. The purpose of this study is to build an effective evaluation model of individual contribution in blended collaborative learning. Discussion recordings and text data in collaboration were collected in a non-invasive way to validate the model. Based on evaluation model, the characteristics and rules behind the data deeply were explored, the collaborative process of the blended collaborative learning was analyzed and mined, and the characteristics of learners' contribution were summarized to support the development of blended collaborative learning.