This study analyzes the effects of COVID-19 confinement on the autonomous learning
performance of students in higher education. Using a field experiment with 458 students …

The availability of educational data obtained by technology-assisted learning platforms can
potentially be used to mine student behavior in order to address their problems and …

Collaboration is a construct comprising diverse definitions and frameworks. Additionally,
being a latent variable and because of its complexity and interactive nature, collaboration is …

This study investigates whether self-regulated learning of pre-service early-childhood
teachers is a viable pedagogy to improve the quality of their wiki-based projects. A total of 76 …

Online collaborative learning is implemented extensively in higher education. Nevertheless,
it remains challenging to help learners achieve high-level group performance, knowledge …

Predicting student performance automatically is of utmost importance, due to the substantial
volume of data within educational databases. Educational data mining (EDM) devises …

Purpose COVID-19 is moving the world towards a significant number of structural changes,
and this pandemic is influencing each individual, society and industry at large. The present …

This study aims to investigate whether for preservice early childhood teachers, integrating
assessment for learning (AfL) is a viable pedagogy to improve the quality of their wiki-based …

In recent years, the focus on higher education learning has shifted from knowledge to skills,
with interpersonal skills likely being the most difficult to assess and work with. Wikis ease …

This study provides the profiles and success predictions of students considering data before,
during, and after the COVID-19 pandemic. Using a field experiment of 396 students and …