We report the results of a systematic review of learners' experiences and perspectives in
massive open online courses (MOOCs). This systematic review includes 51 articles …

This systematic review on massive open online courses (MOOCs) in higher education
examined the research on the assessment of learning outcomes based on 65 peer-reviewed …

In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on
log data recorded by digital learning environments have attracted increasing attention …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

Predicting student performance is a major tool in learning analytics. This study aims to
identify how different measures of massive open online course (MOOC) data can be used to …

Abstract Massive Open Online Courses (MOOCs) provide learners with high-quality and
flexible online courses with no limitations regarding time and location. Detecting users' …

The recent focus on learning analytics (LA) to analyze temporal dimensions of learning
holds the promise of providing insights into latent constructs, such as learning strategy, self …

This research revealed the antecedes of two learner-centered outcome measures of
success in massive open online courses (MOOCs): learner satisfaction and learner intention …

One of the main challenges for online learners is knowing how to effectively manage their
time. Highly autonomous settings, such as Massive Open Online Courses (MOOCs), put …

Purpose Educational data mining (EDM) and learning analytics, which are highly related
subjects but have different definitions and focuses, have enabled instructors to obtain a …