The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Social learning analytics (SLA) is a promising approach for identifying students' social
learning processes in computer-supported collaborative learning (CSCL) environments. To …

The proliferation of AI in many aspects of human life—from personal leisure, to collaborative
professional work, to global policy decisions—poses a sharp question about how to prepare …

Learning Analytics Explained draws extensively from case studies and interviews with
experts in order to discuss emerging applications of the new field of learning analytics …

Despite the explosion of interest in big data in higher education and the ensuing rush for
catch-all predictive algorithms, there has been relatively little focus on the pedagogical and …

This study enriched the research horizon of the social sciences and contents of MOOCs by
providing stakeholders with authentic data-driven recommendations to better conceptualize …

In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …

The broadening adoption of technology enhanced learning environments has substantially
altered the manner in which educational communication takes place, with most people …

This chapter describes three characteristics of Learning Analytics work that distinguish it
from prior educational research to give readers a concise overview of what makes learning …

Understanding ideas in a discourse is challenging, especially in textual discourse analysis.
We propose using temporal analytics with unsupervised machine learning techniques to …