BulDML at Institute of Mathematics and Informatics >
International Journal ITK >
2008 >
Volume 2 Number 5 >

Please use this identifier to cite or link to this item:

Title: Automating Exersises Validation in e-Learning Environments
Authors: Ortega, Antonio
Alvarez, Ruben
Keywords: E-Learning
Computer Science
Data Structure and Algorithms
Abstract Data Type
Test Case Generator
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: E-learning is supposing an innovation in teaching, raising from the development of new technologies. It is based in a set of educational resources, including, among others, multimedia or interactive contents accessible through Internet or Intranet networks. A whole spectrum of tools and services support e-learning, some of them include auto-evaluation and automated correction of test-like exercises, however, this sort of exercises are very constrained because of its nature: fixed contents and correct answers suppose a limit in the way teachers may evaluation students. In this paper we propose a new engine that allows validating complex exercises in the area of Data Structures and Algorithms. Correct solutions to exercises do not rely only in how good the execution of the code is, or if the results are same as expected. A set of criteria on algorithm complexity or correctness in the use of the data structures are required. The engine presented in this work covers a wide set of exercises with these characteristics allowing teachers to establish the set of requirements for a solution, and students to obtain a measure on the quality of their solution in the same terms that are later required for exams.
ISSN: 1313-048X
Appears in Collections:Volume 2 Number 5

Files in This Item:

File Description SizeFormat
ijitk02-5-p04.pdf156.48 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License