Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Informal online communities and networks as a source of teacher professional development: A review

M Macià, I García - Teaching and teacher education, 2016 - Elsevier
Informal online communities and networks offer teachers the possibility of voluntarily
engaging in shared learning, reflecting about teaching practice and receiving emotional …

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

KF Hew, X Hu, C Qiao, Y Tang - Computers & Education, 2020 - Elsevier
This study defines MOOC success as the extent of student satisfaction with the course.
Having more satisfied MOOC students can extend the reach of an institution to more people …

A review on predicting student's performance using data mining techniques

AM Shahiri, W Husain - Procedia Computer Science, 2015 - Elsevier
Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …

Engagement in HCI: conception, theory and measurement

K Doherty, G Doherty - ACM computing surveys (CSUR), 2018 - dl.acm.org
Engaging users is a priority for designers of products and services of every kind. The need to
understand users' experiences has motivated a focus on user engagement across computer …

A systematic review of research methods and topics of the empirical MOOC literature (2014–2016)

M Zhu, A Sari, MM Lee - The Internet and Higher Education, 2018 - Elsevier
This study explores the research paradigms and topics of MOOCs to gain a deeper
understanding of the MOOC phenomenon by reviewing 146 empirical studies of MOOCs …

Educational data mining and learning analytics

RS Baker, T Martin, LM Rossi - The Wiley handbook of …, 2016 - Wiley Online Library
In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

Promoting engagement in online courses: What strategies can we learn from three highly rated MOOCS

KF Hew - British Journal of Educational Technology, 2016 - Wiley Online Library
Although past research has sought to identify the factors of student engagement in
traditional online courses, two questions remained largely unanswered with regard to M …

Examining learning engagement in MOOCs: A self-determination theoretical perspective using mixed method

M Lan, KF Hew - International Journal of Educational Technology in …, 2020 - Springer
MOOCs as a learning approach are gaining popularity, and helping learners and instructors
understand how learning engagement is constructed in a MOOC context is of increasing …

How do we model learning at scale? A systematic review of research on MOOCs

S Joksimović, O Poquet, V Kovanović… - Review of …, 2018 - journals.sagepub.com
Despite a surge of empirical work on student participation in online learning environments,
the causal links between the learning-related factors and processes with the desired …