Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Data mining in education
Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with develo** methods for …
known as educational data mining (EDM). It is concerned with develo** methods for …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence
This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …
A systematic review on educational data mining
Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …
enrolment and attendance records, as well as their examination results. Mining such data …
Students' LMS interaction patterns and their relationship with achievement: A case study in higher education
Abstract The use of Learning Management Systems has grown exponentially in the last
several years and has come to have a strong effect on the teaching-learning process …
several years and has come to have a strong effect on the teaching-learning process …
Panorama of recommender systems to support learning
This chapter presents an analysis of recommender systems in Technology-Enhanced
Learning along their 15 years existence (2000–2014). All recommender systems considered …
Learning along their 15 years existence (2000–2014). All recommender systems considered …
Data mining for providing a personalized learning path in creativity: An application of decision trees
Customizing a learning environment to optimize personal learning has recently become a
popular trend in e-learning. Because creativity has become an essential skill in the current e …
popular trend in e-learning. Because creativity has become an essential skill in the current e …
Use of machine learning techniques for educational proposes: a decision support system for forecasting students' grades
SB Kotsiantis - Artificial Intelligence Review, 2012 - Springer
Use of machine learning techniques for educational proposes (or educational data mining)
is an emerging field aimed at develo** methods of exploring data from computational …
is an emerging field aimed at develo** methods of exploring data from computational …
Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning analytics: A …
This review aims to provide a concise overview of four distinct research fields: Artificial
Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL) …
Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL) …