Mining big data in education: Affordances and challenges
The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …
to support informed decision making and efforts to improve educational effectiveness. Digital …
Educational Data Mining: A review of evaluation process in the e-learning
Due to the growing interest in e-learning as an important process of teaching and learning,
new mechanisms to evaluate its pedagogical effectiveness are necessaries. This review …
new mechanisms to evaluate its pedagogical effectiveness are necessaries. This review …
Profiling students' learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach
Abstract In the Massive Online Open Course (MOOC) forum, learning engagement
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …
Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement
In the MOOC forum discussions, emotional and cognitive engagement are two prominent
aspects of learning engagement. Moreover, emotional and cognitive engagement have an …
aspects of learning engagement. Moreover, emotional and cognitive engagement have an …
[HTML][HTML] Do learners share the same perceived learning outcomes in MOOCs? Identifying the role of motivation, perceived learning support, learning engagement, and …
The aim of this study was to examine how motivation, perceived learning support, learning
engagement, and self-regulated learning strategies relate to learners' perceived learning …
engagement, and self-regulated learning strategies relate to learners' perceived learning …
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 …
Natural language generation using deep learning to support MOOC learners
Among all the learning resources within MOOCs such as video lectures and homework, the
discussion forum stood out as a valuable platform for students' learning through knowledge …
discussion forum stood out as a valuable platform for students' learning through knowledge …
How do we model learning at scale? A systematic review of research on MOOCs
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 …
the causal links between the learning-related factors and processes with the desired …
[HTML][HTML] Measuring social presence in online-based learning: An exploratory path analysis using log data and social network analysis
LM Norz, V Dornauer, WO Hackl… - The internet and higher …, 2023 - Elsevier
Social presence is a key element in collaborative/cooperative learning. In online learning
environments, it is challenging to measure the current state of social presence. This work …
environments, it is challenging to measure the current state of social presence. This work …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …