WorldCIST'15 - 3rd World Conference on Information Systems and Technologies

Full Program »

New algorithms for smart assessment of math exercises

This paper deals with the field of mathematics education where the aim is to generate exercises with randomized data. The process of exercise generation involves, first, identification of common errors that may be performed when solving the exercise, then, modeling of these errors by appropriate functions and recognition and distinction of errors through algorithms.
Thus, although randomized, the exercise parameters must be chosen in such a way that it would be possible to understand the error the student committed and with it to guarantee a proper feedback on his answer. We call this process smart assessment.
In this paper we present two algorithms for exercise generation admitting smart assessment.

Author(s):

Isabel Araújo    
Universidade do Minho, centro de Matemática
Portugal

Irene Brito    
Universidade do Minho, centro de Matemática
Portugal

Gaspar Machado    
Universidade do Minho, centro de Matemática
Portugal

Rui Pereida    
Universidade do Minho, centro de Matemática
Portugal

J.João Almeida    
Universidade do Minho, dep Informática
Portugal

Gueorgui Smirnov    
Universidade do Minho, centro de Matemática
Portugal

 

Powered by OpenConf®
Copyright ©2002-2013 Zakon Group LLC