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
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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
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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
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
Fuzzy Bayesian Knowledge Tracing
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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
CMKT: Concept Map Driven Knowledge Tracing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2022.3196355
Abstract: In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness… read more here.
Keywords: topology; knowledge tracing; concept; concept map ... See more keywords
Continuous Student Knowledge Tracing Using SVD and Concept Maps
Sign Up to like & getrecommendations! Published in 2021 at "Advances in Electrical and Computer Engineering"
DOI: 10.4316/aece.2021.01008
Abstract: One of the critical aspects of building intelligent tutoring systems regards proper monitoring of student's activity and academic performance. This paper presents a continuous student ... read more here.
Keywords: knowledge tracing; student; tracing using; student knowledge ... See more keywords