Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
R Pelánek - User modeling and user-adapted interaction, 2017 - Springer
Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …
provides a wide range of modeling approaches, but it does not provide guidance for …
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 …
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 …
DAS3H: modeling student learning and forgetting for optimally scheduling distributed practice of skills
Spaced repetition is among the most studied learning strategies in the cognitive science
literature. It consists in temporally distributing exposure to an information so as to improve …
literature. It consists in temporally distributing exposure to an information so as to improve …
Enhancing learning outcomes through self-regulated learning support with an open learner model
Abstract Open Learner Models (OLMs) have great potential to support students' Self-
Regulated Learning (SRL) in Intelligent Tutoring Systems (ITSs). Yet few classroom …
Regulated Learning (SRL) in Intelligent Tutoring Systems (ITSs). Yet few classroom …
IRT-based adaptive hints to scaffold learning in programming
M Ueno, Y Miyazawa - IEEE Transactions on Learning …, 2017 - ieeexplore.ieee.org
Over the past few decades, many studies conducted in the field of learning science have
described that scaffolding plays an important role in human learning. To scaffold a learner …
described that scaffolding plays an important role in human learning. To scaffold a learner …
Automated search improves logistic knowledge tracing, surpassing deep learning in accuracy and explainability
PI Pavlik Jr, LG Eglington - Journal of …, 2023 - jedm.educationaldatamining.org
This paper describes how to discover simple logistic regression models that outperform
more complex approaches such as Deep Knowledge Tracing (DKT) and Self-Attentive …
more complex approaches such as Deep Knowledge Tracing (DKT) and Self-Attentive …
Logistic knowledge tracing: A constrained framework for learner modeling
PI Pavlik, LG Eglington… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Adaptive learning technology solutions often use a learner model to trace learning and
make pedagogical decisions. The present research introduces a formalized methodology for …
make pedagogical decisions. The present research introduces a formalized methodology for …
[HTML][HTML] Control knowledge tracing: Modeling students' learning dynamics from a control-theory perspective
CN Loong, CC Chang - Computers and Education: Artificial Intelligence, 2024 - Elsevier
A student's learning system is a system that guides the student's knowledge acquisition
process using available learning resources to produce certain learning outcomes that can …
process using available learning resources to produce certain learning outcomes that can …