Title :
Voice Stress Analyser System for E-testing
Author :
Arturas Kaklauskas;Andrej Vlasenko;Mark Seniut;Mindaugas Krutinis
Author_Institution :
Inst. of Internet & Intell. Technol., Vilnius Gediminas Tech. Univ., Vilnius, Lithuania
Abstract :
Three e-learning Master degree studies were introduced at Vilnius Gediminas Technical University in 1999. In order to increase the efficiency and quality of e-learning studies, Voice Stress Analyser Intelligent System for e-Testing (VSA-IST VSA-IST) was also developed. The aim of this paper is to report on the contribution of new integrated technologies (Voice Stress analysis and decision support systems) to e-Testing Systems. The article briefly describes the use of these integrated newest technologies in e-Testing. The authors of the article have developed a voice stress database, which contains students’ answers that are given during an Testing, and a specific algorithm, which is the core of the VSA-IST and which can evaluate a student’s knowledge by giving a precise mark after a psychological test, which is performed prior to the Testing. In order to demonstrate the validity, efficiency and usefulness of the developed VSA-IST, the article also presents a case study.
Keywords :
"Stress","Speech analysis","Testing","Electronic learning","Intelligent systems","Decision support systems","Human factors","Databases","Psychology","Performance evaluation"
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
DOI :
10.1109/ICALT.2009.124