Knowledge tracing: A survey
Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …
human intelligence. A human teacher can track the knowledge of students to customize the …
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 …
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …
Knowledge Tracing (KT) approaches used for constructing adaptive educational …
Dynamic key-value memory networks for knowledge tracing
Knowledge Tracing (KT) is a task of tracing evolving knowledge state of students with
respect to one or more concepts as they engage in a sequence of learning activities. One …
respect to one or more concepts as they engage in a sequence of learning activities. One …
Ednet: A large-scale hierarchical dataset in education
Abstract Advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …
Educational data mining and learning analytics
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 …
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
Co-designing a real-time classroom orchestration tool to support teacher-AI complementarity.
Involving stakeholders throughout the creation of new educational technologies can help
ensure their usefulness and usability in real-world contexts. However, given the complexity …
ensure their usefulness and usability in real-world contexts. However, given the complexity …
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 …
Learning analytics and educational data mining: towards communication and collaboration
Growing interest in data and analytics in education, teaching, and learning raises the priority
for increased, high-quality research into the models, methods, technologies, and impact of …
for increased, high-quality research into the models, methods, technologies, and impact of …
An astonishing regularity in student learning rate
Leveraging a scientific infrastructure for exploring how students learn, we have developed
cognitive and statistical models of skill acquisition and used them to understand …
cognitive and statistical models of skill acquisition and used them to understand …