Tracking performance and forming study groups for prep courses using probabilistic graphical models

Yoram Bachrach; Yoad Lewenberg; Jeffrey S. Rosenschein; Yair Zick

Tracking performance and forming study groups for prep courses using probabilistic graphical models

Yoram Bachrach, Yoad Lewenberg, Jeffrey S. Rosenschein, Yair Zick

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	1359-1360
Number of pages	2
ISBN (Electronic)	9781450342391
State	Published - 2016
Event	15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore Duration: 9 May 2016 → 13 May 2016

Publication series

Name	Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)	1548-8403
ISSN (Electronic)	1558-2914

Conference

Conference	15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
Country/Territory	Singapore
City	Singapore
Period	9/05/16 → 13/05/16

Bibliographical note

Publisher Copyright:
Copyright © 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Keywords

Bayesian PCA
Education
Probabilistic graphical models

Cite this

Bachrach, Y., Lewenberg, Y., Rosenschein, J. S., & Zick, Y. (2016). Tracking performance and forming study groups for prep courses using probabilistic graphical models. In AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems (pp. 1359-1360). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Bachrach, Yoram ; Lewenberg, Yoad ; Rosenschein, Jeffrey S. et al. / Tracking performance and forming study groups for prep courses using probabilistic graphical models. AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016. pp. 1359-1360 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

@inproceedings{529d01f5998f410baf6d63261afbcca8,

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 = "אנגלית",

series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

pages = "1359--1360",

booktitle = "AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems",

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Bachrach, Y, Lewenberg, Y, Rosenschein, JS & Zick, Y 2016, Tracking performance and forming study groups for prep courses using probabilistic graphical models. in AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1359-1360, 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016, Singapore, Singapore, 9/05/16.

Tracking performance and forming study groups for prep courses using probabilistic graphical models. / Bachrach, Yoram; Lewenberg, Yoad; Rosenschein, Jeffrey S. et al.
AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016. p. 1359-1360 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Tracking performance and forming study groups for prep courses using probabilistic graphical models

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AU - Rosenschein, Jeffrey S.

AU - Zick, Yair

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AB - 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.

KW - Bayesian PCA

KW - Education

KW - Probabilistic graphical models

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PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

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Y2 - 9 May 2016 through 13 May 2016

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Bachrach Y, Lewenberg Y, Rosenschein JS, Zick Y. Tracking performance and forming study groups for prep courses using probabilistic graphical models. In AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2016. p. 1359-1360. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Tracking performance and forming study groups for prep courses using probabilistic graphical models

Abstract

Publication series

Conference

Bibliographical note

Keywords

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