Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques
Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …
amount of data in educational systems. In keeping with this, identifying the factors affecting …
A systematic review of deep learning approaches to educational data mining
Educational Data Mining (EDM) is a research field that focuses on the application of data
mining, machine learning, and statistical methods to detect patterns in large collections of …
mining, machine learning, and statistical methods to detect patterns in large collections of …
Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
Towards intelligent E-learning systems
M Liu, D Yu - Education and Information Technologies, 2023 - Springer
The prevalence of e-learning systems has made educational resources more accessible,
interactive and effective to learners without the geographic and temporal boundaries …
interactive and effective to learners without the geographic and temporal boundaries …
[PDF][PDF] C45 Algorithm for Motorcycle Sales Prediction On CV Mokas Rawajitu
D Alita, S Setiawansyah… - JURNAL …, 2021 - download.garuda.kemdikbud.go.id
ABSTRACT CV Mokas Rawajitu is a company that sells various types of used motorbikes
both in cash and on credit. In sales, the problem that occurs is the frequent occurrence of …
both in cash and on credit. In sales, the problem that occurs is the frequent occurrence of …
A survey of machine learning approaches for student dropout prediction in online courses
The recent diffusion of online education (both MOOCs and e-courses) has led to an
increased economic and scientific interest in e-learning environments. As widely …
increased economic and scientific interest in e-learning environments. As widely …
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 …