Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques

R Pelánek - User modeling and user-adapted interaction, 2017 - Springer
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 …

Applying a framework for student modeling in exploratory learning environments: Comparing data representation granularity to handle environment complexity

L Fratamico, C Conati, S Kardan, I Roll - International Journal of Artificial …, 2017 - Springer
Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory
Learning Environments, students may not always learn effectively in these unstructured …

[PDF][PDF] Limits to accuracy: how well can we do at student modeling?

J Beck, X Xiong - Educational Data Mining 2013, 2013 - educationaldatamining.org
There has been a large body of work in the field of EDM involving predicting whether the
student's next attempt will be correct. Many promising ideas have resulted in negligible …

Comparing and combining eye gaze and interface actions for determining user learning with an interactive simulation

S Kardan, C Conati - User Modeling, Adaptation, and Personalization: 21th …, 2013 - Springer
This paper presents an experimental evaluation of eye gaze data as a source for modeling
user's learning in Interactive Simulations (IS). We compare the performance of classifier user …

Class vs. student in a bayesian network student model

Y Wang, J Beck - Artificial Intelligence in Education: 16th International …, 2013 - Springer
For decades, intelligent tutoring systems researchers have been developing various
methods of student modeling. Most of the models, including two of the most popular …

Cluster-based prediction of mathematical learning patterns

T Käser, AG Busetto, B Solenthaler, J Kohn… - Artificial Intelligence in …, 2013 - Springer
This paper introduces a method to predict and analyse students' mathematical performance
by detecting distinguishable subgroups of children who share similar learning patterns. We …

The usefulness of log based clustering in a complex simulation environment

S Kardan, I Roll, C Conati - … Conference, ITS 2014, Honolulu, HI, USA …, 2014 - Springer
Data mining techniques have been successfully employed on user interaction data in
exploratory learning environments. In this paper we investigate using data mining …

[PDF][PDF] The role of feedback in intelligent tutoring system

J Dāboliņš, J Grundspeņķis - Applied Computer Systems, 2013 - sciendo.com
Improvement of IT technologies, expansion of internet and popularization of web
technologies have enabled technology enhanced learning introduction in adaption of …

[PDF][PDF] Student modeling in intelligent tutoring systems

Y Gong - 2014 - digital.wpi.edu
After decades of development, Intelligent Tutoring Systems (ITSs) have become a common
learning environment for learners of various domains and academic levels. ITSs are …