A Survey on Approaches to Modeling Collaborative Practices in E-Learning Platforms

Evaluating collaborative practices for peers/groups of learners in collaborative e-learning is a crucial issue in distance learning platforms. It is a complex task that requires the development of advanced methods and tools to ensure continuous and real-time evaluation of collaboration. The aim of our work is to propose and implement an algorithm, method, and tool for evaluating collaborative learning. We seek to identify and extract collaborative fragments by applying operators to modeledtraces in order to pinpoint sequential episodes of collaboration. Additionally, we aim to design and compute collaboration indicators. The objective of this work is to simplify the process of evaluating a group of learners on a collaborative distance-learning platform, enabling non-computer scientists to design their own collaboration indicators and automate their calculation