Easychair as a pedagogical tool engaging graduate students in the reviewing process

Kartik Talamadupula, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the more important aims of graduate artificial intelligence courses is to prepare graduate students to critically evaluate the current literature. The established approaches for this include either asking a student to present a paper in class, or to have the entire class read and discuss a paper. However, neither of these approaches presents incentives for student participation beyond the posting of a single summary or review. In this paper, we describe a class project that uses the popular Easychair conference management system as a pedagogical tool to enable engagement in the peer re-view process. We report on the deployment of this project in a medium- sized graduate AI class, and present the results of this deployment. We hope that the success of this project in engaging students in the peer review process can be used better train and bolster the future corps of AI reviewers.

Original languageEnglish (US)
Title of host publicationProceedings of the National Conference on Artificial Intelligence
PublisherAI Access Foundation
Pages3052-3053
Number of pages2
ISBN (Electronic)9781577356806
StatePublished - Jan 1 2014
Event28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 - Quebec City, Canada
Duration: Jul 27 2014Jul 31 2014

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume4

Other

Other28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014
CountryCanada
CityQuebec City
Period7/27/147/31/14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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  • Cite this

    Talamadupula, K., & Kambhampati, S. (2014). Easychair as a pedagogical tool engaging graduate students in the reviewing process. In Proceedings of the National Conference on Artificial Intelligence (pp. 3052-3053). (Proceedings of the National Conference on Artificial Intelligence; Vol. 4). AI Access Foundation.