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Biometric and intelligent student progress assessment system

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Date
2013
Author
Kaklauskas, Artūras
Zavadskas, Edmundas Kazimieras
Seniut, Mark
Vlasenko, Andrej
Kaklauskas, Gintaris
Juozapaitis, Algirdas
Kuzminskė, Agnė
Kaklauskas, Gabrielius
Pečiūrė, Lina
Ubartė, Ieva
Naimavičienė, Jurga
Čerkauskas, Justas
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Abstract
A number of methodologies (Big Five Factors and Five Factor Model, intelligence quotient tests, self-assessment) and strategies for web-based formative assessment are used in an effort to predict a student's academic motivation, achievements and performance. These methodologies, biometric voice analysis technologies and 13 years of authors' experience in distance learning were used in development of the Biometric and Intelligent Student Progress Assessment System for psychological assessment of student progress. Also the BISPA system was developed in consideration of worldwide research results involving the interrelation between a person's knowledge, self-assessment and voice stress along with instances of available decision support, recommender and intelligent tutoring systems.
Issue date (year)
2013
URI
https://etalpykla.vilniustech.lt/handle/123456789/145377
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