Learning analytics (LA) offers new opportunities to enrich feedback practices in higher
education, but little is understood about the ways different LA can enhance feedback …

Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

During the past years scholars have shown an increasing interest in supporting students'
self-regulated learning (SRL). Learning analytics (LA) can be applied in various ways to …

In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

Sentiment analysis (SA) is widespread across all fields and has become one of the most
active topics in education research, and there is a growing body of papers published. So far …

Abstract Resumen Background: Early prediction of students' learning performance using
data mining techniques is an important topic these days. The purpose of this literature …

Students' feedback is crucial for academic institutions in order to evaluate faculty
performance. Handling the qualitative opinions of students efficiently while automatic report …

Students' on‐task engagement during adaptive learning activities has a significant effect on
their performance, and at the same time, how these activities influence students' behavior is …

Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …