Student success prediction in MOOCs
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …
critical component of effective content personalization and adaptive interventions. In this …
The life between big data log events: Learners' strategies to overcome challenges in MOOCs
Big data from massive open online courses (MOOCs) have enabled researchers to examine
learning processes at almost infinite levels of granularity. Yet, such data sets do not track …
learning processes at almost infinite levels of granularity. Yet, such data sets do not track …
A survey on artificial intelligence and data mining for MOOCs
S Fauvel, H Yu - arXiv preprint arXiv:1601.06862, 2016 - arxiv.org
Massive Open Online Courses (MOOCs) have gained tremendous popularity in the last few
years. Thanks to MOOCs, millions of learners from all over the world have taken thousands …
years. Thanks to MOOCs, millions of learners from all over the world have taken thousands …
Exploring development of social capital in a CMOOC through language and discourse
Connectivist pedagogies are geared towards building a network of learners that actively
employ technologies to establish interpersonal connections in open online settings. In this …
employ technologies to establish interpersonal connections in open online settings. In this …
An overview of studies about students' performance analysis and learning analytics in MOOCs
In this paper, we aimed to guide about latest development and studies about students'
performance analysis and Learning Analytics in Massively Open Online Courses (MOOCs) …
performance analysis and Learning Analytics in Massively Open Online Courses (MOOCs) …
Computational thinking and assignment resubmission predict persistence in a computer science MOOC
Massive open online course (MOOC) studies have shown that precourse skills (such as
precomputational thinking) and course engagement measures (such as making multiple …
precomputational thinking) and course engagement measures (such as making multiple …
Linguistic characteristics of reflective states in video annotations under different instructional conditions
Video-based self-reflection and annotation is receiving increasing attention within the
education literature. The importance of such technologies in education relate, in part, to the …
education literature. The importance of such technologies in education relate, in part, to the …
Learners' Performance in a MOOC on Programming
In every course, there are learners who successfully pass assessments and complete the
course. However, there are also those who fail the course for various reasons. One of such …
course. However, there are also those who fail the course for various reasons. One of such …
Modeling micro-interactions in self-regulated learning: A data-driven methodology
We explore whether interactive navigational behaviours can be used as a reliable and
effective source to measure the progress, achievement, and engagement of a learning …
effective source to measure the progress, achievement, and engagement of a learning …
Algorithms for the development of deep learning models for classification and prediction of learner behaviour in moocs
JEM Fotso, B Batchakui, R Nkambou… - Artificial Intelligence for …, 2022 - Springer
Massive open online courses (MOOCs) are used by universities and institutions offer
valuable free courses to huge numbers of people around the world through MOOC …
valuable free courses to huge numbers of people around the world through MOOC …