A survey of explainable knowledge tracing
Sign Up to like & getrecommendations! Published in 2024 at "Applied Intelligence"
DOI: 10.1007/s10489-024-05509-8
Abstract: With the long-term accumulation of high-quality educational data, artificial intelligence (AI) has shown excellent performance in knowledge tracing (KT). However, due to the lack of interpretability and transparency of some algorithms, this approach will result… read more here.
Keywords: knowledge; interpretable methods; survey explainable; explainable knowledge ... See more keywords
Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
Sign Up to like & getrecommendations! Published in 2017 at "User Modeling and User-Adapted Interaction"
DOI: 10.1007/s11257-017-9193-2
Abstract: 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 choosing a model suitable for a particular situation. We… read more here.
Keywords: tracing logistic; knowledge tracing; overview; bayesian knowledge ... See more keywords
Degree of error in Bayesian knowledge tracing estimates from differences in sample sizes
Sign Up to like & getrecommendations! Published in 2018 at "Behaviormetrika"
DOI: 10.1007/s41237-018-0072-x
Abstract: Bayesian knowledge tracing (BKT) is a knowledge inference model that underlies many modern adaptive learning systems. The primary goal of BKT is to predict the point at which a student has reached mastery of a… read more here.
Keywords: bkt; knowledge; knowledge tracing; degree error ... See more keywords
CS-BKT: introducing item relationship to the Bayesian knowledge tracing model
Sign Up to like & getrecommendations! Published in 2019 at "Interactive Learning Environments"
DOI: 10.1080/10494820.2019.1629600
Abstract: ABSTRACTBayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skil... read more here.
Keywords: knowledge; tracing model; bkt introducing; model ... See more keywords
SPAKT: A Self-Supervised Pre-TrAining Method for Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187987
Abstract: Knowledge tracing (KT) is the core task of computer-aided education systems, and it aims at predicting whether a student can answer the next exercise (i.e., question) correctly based on his/her historical answer records. In recent… read more here.
Keywords: self supervised; knowledge tracing; spakt self; pre training ... See more keywords
Dual-Channel Knowledge Tracing With Self-Supervised Contrastive and Directed Interaction Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3542870
Abstract: With the widespread adoption of the internet, intelligent tutoring systems have experienced rapid advancements in education. Knowledge tracing (KT) aims to predict students’ future performance by modeling their behavioral sequences. While existing models have made… read more here.
Keywords: self supervised; dual channel; channel; interaction ... See more keywords
xLSTMKT: xLSTM for Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3595176
Abstract: Knowledge Tracing focuses on modeling a student’s evolving knowledge state to accurately predict their responses to future questions across a set of knowledge concepts. In recent years, KT models based on Long Short-Term Memory (LSTM)… read more here.
Keywords: knowledge; tracing xlstmkt; xlstmkt xlstm; xlstm knowledge ... See more keywords
DPDG-GKT: A Dual-Path Dynamic Gated GNNs Model for Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3635900
Abstract: Knowledge tracing (KT) is a core technology in the field of intelligent education. Its primary goal is to accurately model changes in students’ knowledge states based on their historical answer data, predict their subsequent performance… read more here.
Keywords: dpdg gkt; gkt model; knowledge; model knowledge ... See more keywords
Continuous Estimation of Lower Limb Joint Angles From Multi-Stream Signals Based on Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3235683
Abstract: Multi-stream signals are increasingly being used in robot-assisted rehabilitation training, where the timely and accurate prediction of a patient's motor intentions is frequently required to provide simultaneous and proportional control strategies. However, existing methods for… read more here.
Keywords: stream signals; knowledge tracing; knowledge; multi stream ... See more keywords
Enhanced Knowledge Tracing With Learnable Filter
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3452130
Abstract: The primary objective of knowledge tracing (KT) is to evaluate students’ understanding and mastery of knowledge through their responses to exercises, which aids in predicting their future performance. Deep neural networks have been widely applied… read more here.
Keywords: knowledge; model; learnable filter; enhanced knowledge ... See more keywords
Fuzzy Bayesian Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3083177
Abstract: 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 various exercises at different times and has attracted considerable attention.… read more here.
Keywords: fuzzy bayesian; knowledge tracing; bayesian knowledge; performance ... See more keywords