An Algorithm for Automatic Difficulty Level Estimation of Multimedia Mathematical Test Items

Author

Cheng, Irene ; Shen, Rui ; Basu, Anup

Author_Institution

Comput. & Inf. Sci., Univ. of Pennsylvania, Philadelphia, PA

fYear

2008

fDate

1-5 July 2008

Firstpage

175

Lastpage

179

Abstract

The use of multimedia in learning and testing has been gaining popularity over the last few years. In this paper, we describe a method for estimating difficulty level of a multimedia mathematical item type using Item Response Theory (IRT). Experimental results on determining the parameters of an IRT model through tests on a group of students are also presented. Linear regression equations are fitted based on test data collected on a group of students. Results show a high degree of correlation between observed difficulty levels and fitted values.

Keywords

computer aided instruction; mathematics computing; multimedia computing; regression analysis; automatic difficulty level estimation; item response theory; linear regression equation; multimedia mathematical test item; Automatic testing; Computer graphics; Convergence; Data structures; Equations; Information science; Linear regression; Mathematical model; Multimedia computing; System testing; Difficulty Level Estimation; IRT; Multimedia Math Item Type;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on

Conference_Location

Santander, Cantabria

Print_ISBN

978-0-7695-3167-0

Type

conf

DOI

10.1109/ICALT.2008.105

Filename

4561659