Reinforcement learning for education: Opportunities and challenges
This survey article has grown out of the RL4ED workshop organized by the authors at the
Educational Data Mining (EDM) 2021 conference. We organized this workshop as part of a …
Educational Data Mining (EDM) 2021 conference. We organized this workshop as part of a …
A survey on recent approaches to question difficulty estimation from text
Question Difficulty Estimation from Text (QDET) is the application of Natural Language
Processing techniques to the estimation of a value, either numerical or categorical, which …
Processing techniques to the estimation of a value, either numerical or categorical, which …
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 …
Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations
Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …
performance by observing their historical learning processes. Due to the powerful …
Assessing student's dynamic knowledge state by exploring the question difficulty effect
Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …
practicing on various questions, is a fundamental research task for offering intelligent …
pyKT: a python library to benchmark deep learning based knowledge tracing models
Abstract Knowledge tracing (KT) is the task of using students' historical learning interaction
data to model their knowledge mastery over time so as to make predictions on their future …
data to model their knowledge mastery over time so as to make predictions on their future …
A bounded ability estimation for computerized adaptive testing
Computerized adaptive testing (CAT), as a tool that can efficiently measure student's ability,
has been widely used in various standardized tests (eg, GMAT and GRE). The adaptivity of …
has been widely used in various standardized tests (eg, GMAT and GRE). The adaptivity of …
Enhancing deep knowledge tracing with auxiliary tasks
Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recent studies have applied …
their historical interactions with intelligent tutoring systems. Recent studies have applied …
Progressive knowledge tracing: Modeling learning process from abstract to concrete
Artificial intelligence has the potential to revolutionize education by providing personalized
learning experiences that support the dream of “teaching students according to their …
learning experiences that support the dream of “teaching students according to their …
Fully adaptive framework: Neural computerized adaptive testing for online education
Abstract Computerized Adaptive Testing (CAT) refers to an efficient and personalized test
mode in online education, aiming to accurately measure student proficiency level on the …
mode in online education, aiming to accurately measure student proficiency level on the …