COMPUTER TECHNOLOGIES OF VERIFICATION OF KNOWLEDGE BASED ON THE METHOD OF SEQUENTIAL ANALYSIS
DOI:
https://doi.org/10.15588/1607-3274-2017-3-14Keywords:
Sequential analysis, the assessment of knowledge, classification the educational process participants according to their trainability level, testing of hypotheses, criterion-referenced test.Abstract
Context. The actual task of increasing the effectiveness of decision support in the statistical control of knowledge has been solved.
Objective is а development of a computational procedure for solving the problem of classification the educational process participants into four groups, according to their trainability level that allows to control knowledge differently, minimizing the amount of tasks required to accomplished.
Method. The computer technology for classification the educational process participants into four groups, according to their trainability level: “initial”, “medium”, “sufficiently”, “high”, has been proposed, based on the use of sequential hypothesis testing procedure and allows to perform the controlling of the knowledge while accomplishing tasks, thus minimizing the time for testing and provides the automation of the process of verification the statistical hypotheses in a testing and learning systems with the purpose of differential assessment of knowledge the educational process participants. To solve the problem of definition the assessment standard the method based on creation the function of operational characteristics of sequential criteria is used. The function allows to establish a link between the expected probability of the hypothesis and random probability of the fact of presence in the sample with 1.2 ...n questions appropriate number of incorrect answers.
Results. The software implementing proposed computational procedure have been developed and used in computational experiments of knowledge testing.
Conclusions. The experiments confirmed the efficiency of the proposed procedure and software. The experiments also allow to recommend them for use in practice to solve the problems of automated assessment of knowledge.
References
Kuz’ma K.T. Іnformacіjnі tehnologії kontrolju ta ocіnki znan’, Trudi ІX Mіzhnarodnoї nauk.-prakt. konferencії studentіv ta molodih uchenih «Polіt». Kyiv, Vid-vo Nac. avіac. un-tu «NAUdruk », 2009. – S. 221.
Vasil’ev V. I., Tjagunova T. N. Osnovy kul’tury adaptivnogo testirovanija. Moscow: Izdatel’stvo IKAR, 2003, 584 p.
Galeev I., Ivanov V., Akhmadullin M. A Learning Model in MONAP, Human-Computer Interaction. The 6th International Conference, EWHCI’96. Moscow, 1996, pp. 320–323.
Chlenov A.N., Drovnikova I.G., Bucynskaja T.A., Orlov P.A. Avtomatizacija kontrolja obuchennosti v processe podgotovki specialistov dlja sistem bezopasnosti, Nauchnyj informacionnyj sbornik «Problemy bezopasnosti i chrezvychajnyh situacij». Moscow, Viniti, 2009. No. 4, pp. 107–116.
Pereverzev V. Ju. Kriterial’no-orientirovannye pedagogicheskie testy dlja itogovoj attestacii studentov. Moscow, NMC SPO Minobrazovanija RF, 1999, 152 p.
Val’d A. Posledovatel’nyj analiz. Moscow, Fizmatgiz, 1960, 328 p.
Levin B. R. Teoreticheskie osnovy statisticheskoj radiotehniki. V treh knigah. Kniga vtoraja. Moscow, Sov. radio, 1975, 392 p.
Ljusin D.V. Osnovy razrabotki i primenenija kriterial’noorientirovannyh pedagogicheskih testov. Moscow, Issledovatel’skij centr, 1993, 51 p.
Angoff W. H. Scales, norms, and equivalent scores. Princeton, NJ, ETS, 1984, P. 153. URL: http://www.ets.org/Media/Research/ pdf/Angoff.Scales.Norms.Equiv. Scores.pdf.
Kaftandjieva F. Methods for Setting Cut Scores in Criterionreferenced Achievement Tests. Cito, Arnhem: EALTA, 2010, P. 170. URL: http://www.ealta.eu.org/documents/resources/ FK_second_doctorate.pdf
Kuz’ma K. T., Bajbuz O. G. A. s. 39905 Ukraїni Komp’juterna programa pіdtrimki navchal’noї dіjal’nostі studentіv «ManageEdu» / № 40241; zajavl. 30.06.2011; opub. 01.09.2011.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2017 K. T. Kuzma
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
