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[HTML][HTML] Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal
Abstract Massive Open Online Courses (MOOCs) are a type of Learning Management
Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal …
Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal …
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 …
[HTML][HTML] An introduction to Bayesian knowledge tracing with pyBKT
This study aims to introduce Bayesian Knowledge Tracing (BKT), a probabilistic model used
in educational data mining to estimate learners' knowledge states over time. It also provides …
in educational data mining to estimate learners' knowledge states over time. It also provides …
GraphCA: Learning from graph counterfactual augmentation for knowledge tracing
With the popularity of online learning in educational settings, knowledge tracing (KT) plays
an increasingly significant role. The task of KT is to help students learn more effectively by …
an increasingly significant role. The task of KT is to help students learn more effectively by …
Ability boosted knowledge tracing
Abstract Knowledge tracing (KT) has become an increasingly relevant problem in intelligent
education services, which estimates and traces the degree of learner's mastery of concepts …
education services, which estimates and traces the degree of learner's mastery of concepts …
Dynamic measurement: A theoretical–psychometric paradigm for modern educational psychology
Scholars have lamented that current methods of assessing student performance do not align
with contemporary views of learning as situated within students, contexts, and time. Here, we …
with contemporary views of learning as situated within students, contexts, and time. Here, we …
Computational psychometrics approach to holistic learning and assessment systems
Learning and assessment systems have grown and taken shape to incorporate concepts
from both models for assessment and models for learning. In this paper we argue that a third …
from both models for assessment and models for learning. In this paper we argue that a third …
Interpretable variational autoencoders for cognitive models
One of the most used methodologies in the field of education assessment is Item Response
Theory (IRT). In this work, we propose the use of a novel Variational Autoencoder (VAE) …
Theory (IRT). In this work, we propose the use of a novel Variational Autoencoder (VAE) …
[HTML][HTML] Control knowledge tracing: Modeling students' learning dynamics from a control-theory perspective
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 …
Adaptive assessment and content recommendation in online programming courses: On the use of Elo-rating
Online learning systems should support students preparedness for professional practice by
equip** them with the necessary skills while kee** them engaged and active. In that …
equip** them with the necessary skills while kee** them engaged and active. In that …