2026-04-17T17:45:47.419Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:6300 2019-06-01T16:43:33Z 1

Potentials of using artificial intelligence and EEG data in electronic assessments 2018 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6300 https://www.etran.rs/common/Zbornik%20ETRAN%20IC%20ETRAN-18-final.pdf M. Antonijevic G. Shimic A. Jevremovic M. Veinović One of the important goals of electronic assessments is to achieve the smallest measurement error, with as simple and shorter tests as possible. Activities for achieving this goal are usually directed towards the iterative optimization of the pool of questions. An aspect that is not often considered is an analysis of the psychological state of the respondents during the answering of questions. In this paper, we present our current results in examining the potential of EEG data for the optimization of electronic ratings, as well as the technical platform for this purpose conferenceObject 1253 1255 Zbornik radova