Standard

Processing and Visualization of Test-Results Data. / Monakhov, V.V.; Kozhedub, A.V.; Khannanov, N.K.; Korolev, A.A.; Kurashova, S.A.

In: КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ, No. 5, 2018, p. 24-40.

Research output: Contribution to journal › Article › peer-review

Harvard

Monakhov, VV, Kozhedub, AV, Khannanov, NK, Korolev, AA & Kurashova, SA 2018, 'Processing and Visualization of Test-Results Data', КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ, no. 5, pp. 24-40.

APA

Monakhov, V. V., Kozhedub, A. V., Khannanov, N. K., Korolev, A. A., & Kurashova, S. A. (2018). Processing and Visualization of Test-Results Data. КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ, (5), 24-40.

Vancouver

Monakhov VV, Kozhedub AV, Khannanov NK, Korolev AA, Kurashova SA. Processing and Visualization of Test-Results Data. КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ. 2018;(5):24-40.

Author

Monakhov, V.V. ; Kozhedub, A.V. ; Khannanov, N.K. ; Korolev, A.A. ; Kurashova, S.A. / Processing and Visualization of Test-Results Data. In: КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ. 2018 ; No. 5. pp. 24-40.

BibTeX

@article{0de25f7ed82444d3890088a08a17869e,
title = "Processing and Visualization of Test-Results Data",
abstract = "A data processing method is proposed for estimating the measurement error of scaled test scores; this involves scaling half-test raw scores to effective full-test raw scores and converting them to scaled test scores. It is shown that the method allows to estimate the measurement error with high accuracy. The proposed approach to data visualization involves the removal of the part of the data corresponding to the rarest values. In the case of very noisy data, this method helps to eliminate the contribution of atypical values and provides a significant increase in the visibility of scatter plots.",
keywords = "data processing, data visualization, computer aided assessment",
author = "V.V. Monakhov and A.V. Kozhedub and N.K. Khannanov and A.A. Korolev and S.A. Kurashova",
year = "2018",
language = "English",
pages = "24--40",
journal = "КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ",
issn = "2071-2340",
publisher = "Издательство СПбГЭТУ {"}ЛЭТИ{"}",
number = "5",

}

RIS

TY - JOUR

T1 - Processing and Visualization of Test-Results Data

AU - Monakhov, V.V.

AU - Kozhedub, A.V.

AU - Khannanov, N.K.

AU - Korolev, A.A.

AU - Kurashova, S.A.

PY - 2018

Y1 - 2018

N2 - A data processing method is proposed for estimating the measurement error of scaled test scores; this involves scaling half-test raw scores to effective full-test raw scores and converting them to scaled test scores. It is shown that the method allows to estimate the measurement error with high accuracy. The proposed approach to data visualization involves the removal of the part of the data corresponding to the rarest values. In the case of very noisy data, this method helps to eliminate the contribution of atypical values and provides a significant increase in the visibility of scatter plots.

AB - A data processing method is proposed for estimating the measurement error of scaled test scores; this involves scaling half-test raw scores to effective full-test raw scores and converting them to scaled test scores. It is shown that the method allows to estimate the measurement error with high accuracy. The proposed approach to data visualization involves the removal of the part of the data corresponding to the rarest values. In the case of very noisy data, this method helps to eliminate the contribution of atypical values and provides a significant increase in the visibility of scatter plots.

KW - data processing, data visualization, computer aided assessment

UR - https://elibrary.ru/item.asp?id=37235061

M3 - Article

SP - 24

EP - 40

JO - КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ

JF - КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ

SN - 2071-2340

IS - 5

ER -

ID: 40901177