E-learning enhancement through educational data mining with Covid-19 outbreak period in backdrop: A review
E-learning is fast becoming an integral part of the teaching-learning process, particularly
after the outbreak of Covid-19 pandemic. Educational institutions across the globe are …
after the outbreak of Covid-19 pandemic. Educational institutions across the globe are …
Exploring the benefits and challenges of learning analytics in higher education institutions: A systematic literature review
Purpose The potential capabilities and benefits that learning analytics can provide are not
fully utilized. A current stream of research suggests that learning analytics has more to offer …
fully utilized. A current stream of research suggests that learning analytics has more to offer …
Using process mining to analyze students' quiz-taking behavior patterns in a learning management system
The aim of this paper is to explore students' behavior and interaction patterns in different
types of online quiz-based activities within learning management systems (LMS). Analyzing …
types of online quiz-based activities within learning management systems (LMS). Analyzing …
Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile
Data mining is employed to extract useful information and to detect patterns from often large
data sets, closely related to knowledge discovery in databases and data science. In this …
data sets, closely related to knowledge discovery in databases and data science. In this …
Predicting student final performance using artificial neural networks in online learning environments
Ş Aydoğdu - Education and Information Technologies, 2020 - Springer
Prediction of student performance is one of the most important subjects of educational data
mining. Artificial neural networks are seen to be an effective tool in predicting student …
mining. Artificial neural networks are seen to be an effective tool in predicting student …
Multi-attention fusion modeling for sentiment analysis of educational big data
G Zhai, Y Yang, H Wang, S Du - Big Data Mining and Analytics, 2020 - ieeexplore.ieee.org
As an important branch of natural language processing, sentiment analysis has received
increasing attention. In teaching evaluation, sentiment analysis can help educators discover …
increasing attention. In teaching evaluation, sentiment analysis can help educators discover …
Implementing AutoML in educational data mining for prediction tasks
Educational Data Mining (EDM) has emerged over the last two decades, concerning with the
development and implementation of data mining methods in order to facilitate the analysis of …
development and implementation of data mining methods in order to facilitate the analysis of …
Effects of learner interaction with learning dashboards on academic performance in an e-learning environment
This study aims to investigate learners' interaction with the learning dashboards as a
predictor outcome of an online learning experience and, to what extent this interaction data …
predictor outcome of an online learning experience and, to what extent this interaction data …
Big opportunities and big concerns of big data in education
Y Wang - TechTrends, 2016 - Springer
Against the backdrop of the ever-increasing influx of big data, this article examines the
opportunities and concerns over big data in education. Specifically, this article first …
opportunities and concerns over big data in education. Specifically, this article first …
Educational dashboards for smart learning: Review of case studies
Y Yoo, H Lee, IH Jo, Y Park - Emerging issues in smart learning, 2015 - Springer
An educational dashboard is a display which visualizes the results of educational data
mining in a useful way. Educational data mining and visualization techniques allow teachers …
mining in a useful way. Educational data mining and visualization techniques allow teachers …