Where's the reward? a review of reinforcement learning for instructional sequencing
Since the 1960s, researchers have been trying to optimize the sequencing of instructional
activities using the tools of reinforcement learning (RL) and sequential decision making …
activities using the tools of reinforcement learning (RL) and sequential decision making …
A survey of knowledge tracing
High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …
to traditional face-to-face classroom education, online education enables us to record and …
SGKT: Session graph-based knowledge tracing for student performance prediction
Abstract Knowledge tracing is a modeling method of students' knowledge mastery. The deep
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
A hierarchical memory network for knowledge tracing
Abstract Knowledge Tracing (KT) is a task to acquire students' mastery level of skills based
on their performance in learning process. The existing KT models have gradually achieved …
on their performance in learning process. The existing KT models have gradually achieved …
Artificial intelligence and the student experience: An institutional perspective
K Khare, B Stewart, A Khare - 2018 - erepo.uef.fi
The paper outlines the potential for Artificial Intelligence (AI) to positively impact student
success. This will be approached from a student life-cycle perspective, taking an integrated …
success. This will be approached from a student life-cycle perspective, taking an integrated …
A survey of knowledge tracing: Models, variants, and applications
Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
pybkt: An accessible python library of bayesian knowledge tracing models
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a
hallmark of adaptive learning research and an integral component of deployed intelligent …
hallmark of adaptive learning research and an integral component of deployed intelligent …
Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions.
Y Mao - Journal of educational data mining, 2018 - par.nsf.gov
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling,
and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide …
and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide …
Fuzzy Bayesian knowledge tracing
Online education promotes the sharing of learning resources. Knowledge tracing (KT) is
aimed at tracking the cognition function of students according to their performance on …
aimed at tracking the cognition function of students according to their performance on …
Ensemble knowledge tracing: Modeling interactions in learning process
Abstract Knowledge Tracing (KT) aims to continuously estimate students' evolving
knowledge state during their learning process, which has attracted much research attention …
knowledge state during their learning process, which has attracted much research attention …