Intelligent mathematics assessment in eMax

Anna György, István Vajda

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

4 Citations (Scopus)

Abstract

The emergence of the knowledge based society evoked a rapid expansion of student numbers enrolled in higher education. With increasing student numbers, however, the time necessary to assess the acquired knowledge in examinations approaches - or, with large student numbers, even exceeds - the time needed to deliver the lectures of a course. At the same time, distance learning systems have an urgent need to provide an integrated knowledge assessment component. These are the main reasons for the appearance of Knowledge Assessment Systems (KAS's) in the 1970's as well as their steadily increasing importance. As shown in our paper, published KAS's do not support the evaluation of either freely formulated short answers or partially solved mathematical problems. However, the eMax KAS, developed at the Intelligent Knowledge Management Innovation Center of IBM Hungary and the John von Neumann Faculty of Informatics at Budapest Tech was conceived to fill this void. The short description of eMax and the method of quasi-automatic assessment of short texts can be found in a companion paper of the present conference [1] In this article we will demonstrate how eMax is capable of quasi-automatic assessment when answers are only partially correct, using questions of higher mathematics.

Original languageEnglish
Title of host publicationIEEE AFRICON 2007
DOIs
Publication statusPublished - Dec 1 2007
EventIEEE AFRICON 2007 - Windhoek, South Africa
Duration: Sep 26 2007Sep 28 2007

Publication series

NameIEEE AFRICON Conference

Other

OtherIEEE AFRICON 2007
CountrySouth Africa
CityWindhoek
Period9/26/079/28/07

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Keywords

  • Answer space
  • Electronic evaluation
  • Intelligent assessment systems
  • Knowledge assessment systems
  • Math problem solving

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

György, A., & Vajda, I. (2007). Intelligent mathematics assessment in eMax. In IEEE AFRICON 2007 [4401512] (IEEE AFRICON Conference). https://doi.org/10.1109/AFRCON.2007.4401512