Student progress assessment with the help of an intelligent pupil analysis system-Reference-Cited by-同舟云学术

Student progress assessment with the help of an intelligent pupil analysis system

Published:2013-01 Issue:1 Volume:26 Page:35-50
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Kaklauskas Arturas,Vlasenko Andrej,Raudonis Vidas,Zavadskas Edmundas Kazimieras,Gudauskas Renaldas,Seniut Mark,Juozapaitis Algirdas,Jackute Ieva,Kanapeckiene Loreta,Rimkuviene Silva,Kaklauskas Gabrielius

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference49 articles.

1. Using eye movement activity as a correlate of cognitive workload;Ahlstrom;Int. J. Ind. Ergon.,2006

2. The role of some selected psychological and personality traits of the rater in the accuracy of self- and peer-assessment;AlFallay;System,2004

3. Psychophysiology—human behavior and physiological response;Andreassi,2007

4. Pupillary response and behavior. In Psychophysiology: Human behavior and physiological response;Andreassi,2006

5. Eye movement and pupillary response indices of mental workload during visual search of symbolic displays;Backs;Appl. Ergon.,1992

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