Biometric and intelligent student progress assessment system

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

doi:10.1007/978-3-642-34300-1_6

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/145377

Biometric and intelligent student progress assessment system

Details

Publication Type (CRIS)

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Publication Type (eLABa)

Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)

Author(s)

Author	Affiliation
Kaklauskas, Artūras	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Zavadskas, Edmundas Kazimieras	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Seniut, Mark	Tvariosios statybos institutas / Institute of Sustainable Construction (0266)
Vlasenko, Andrej	Tvariosios statybos institutas / Institute of Sustainable Construction (0266)
Kaklauskas, Gintaris	Metalinių ir kompozitinių konstrukcijų katedra / Department of Steel and Composite Structures (0259)	Vilniaus universitetas
Juozapaitis, Algirdas	Metalinių ir kompozitinių konstrukcijų katedra / Department of Steel and Composite Structures (0259)
Kuzminskė, Agnė	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Kaklauskas, Gabrielius	Vilniaus universitetas
Pečiūrė, Lina	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Ubartė, Ieva	Metalinių ir kompozitinių konstrukcijų katedra / Department of Steel and Composite Structures (0259)
Naimavičienė, Jurga	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Čerkauskas, Justas	Tvariosios statybos institutas / Institute of Sustainable Construction (0266)

Title

Biometric and intelligent student progress assessment system

[en]

Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Mark Seniut, [et al.]

Is part of

Advanced methods for computational collective intelligence. 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012), Ho Chi Min City, Vietnam, November 28-30, 2012

Published In

Year	Start Page	End Page
2013	59	69

Publisher

Berlin Heidelberg : Springer, 2013

Publisher (trusted)

Springer

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

SCOPUS

MathSciNet

Zentralblatt MATH (zbMATH)

SpringerLink

Extent

p. 59-69

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/145377
Straipsnis	Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access)

DOI

10.1007/978-3-642-34300-1_6

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Statybos inžinerija / Civil engineering (T002)

Keywords (en)

Abstract (en)

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.