@inproceedings{ff7ea63591ba44b18a9072bf29ee568e,
title = "Tracking performance and forming study groups for prep courses using probabilistic graphical models",
abstract = "Efficient tracking of class performance across topics is an important aspect of classroom teaching; this is especially true for psychometric general intelligence exams, which test a varied range of abilities. We develop a framework that uncovers a hidden thematic structure underlying student responses to a large pool of questions, using a probabilistic graphical model.",
keywords = "Bayesian PCA, Education, Probabilistic graphical models",
author = "Yoram Bachrach and Yoad Lewenberg and Rosenschein, {Jeffrey S.} and Yair Zick",
note = "Publisher Copyright: Copyright {\textcopyright} 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 ; Conference date: 09-05-2016 Through 13-05-2016",
year = "2016",
language = "الإنجليزيّة",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
pages = "1359--1360",
booktitle = "AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems",
}