SYSTEM OF ADAPTIVE TASKS SELECTION IN THE TESTING PROCESS
DOI:
https://doi.org/10.18372/1990-5548.55.12750Keywords:
Automated testing system, computer knowledge assessment, adaptive tests, knowledge testing algorithm, fuzzy logicAbstract
In this article, an automated knowledge testing system with adaptive parameters, which assumes the individualization of the training courses and test tasks content designed to control the knowledge of each learner is considered. Existing systems of automated testing of knowledge are considered. The analysis of existing approaches to the organization of adaptive testing is carried out. A system that has the ability to adapt to the level of knowledge of the learner and has the ability to select suitable topics for training is proposed. An algorithm for testing knowledge with the adaptation of the choice of topics depending on the level of knowledge of learner was developed and presented. The influence of the level of complexity of tasks on the criterion of knowledge of students is considered. The results of experimental use of the adaptive testing system and its impact on the level of knowledge control of learner are presented. An adaptive testing model using the apparatus of fuzzy mathematics is considered. The description of fuzzy characteristics of test tasks and functions of determining the level of learner training is proposed.
References
Andrew Fluck, Darren Pullen and Colleen Harper, “Case study of a computer based examination system,” Australasian Journal of Educational Technology, no. 25(4), pp. 509–523, 2009.
Elena C. Papanastasiou, Computer Adaptive testing in science education / [Electronic source] http://cblis.utc.sk/cblisdold/2003/3.PartB/Papers/ScienceEd /TestingAssessment/Papanastasiou.pdf
“TestMaker” testing system [Electronic source] http://www.pushtotest.com/products.
“Indigo” testing system [Electronic source] https://indigotech.ru
L. N. Radvanskaya, and Yu. V. Chepurnaya, “Algorithm for constructing a computerized adaptive knowledge testing system for trainees,” System information boxes, Issue 5(72), pp. 182–185, 2008. (in Russian)
S. V. Duplik, “Model of adaptive testing on fuzzy mathematics,” Kazan State Technical University them. AN Tupolev, 2016. (in Russian)
K. A. Goncharova, V. S. Dobryak, and M. S. Mazorchuk, “ Knowledge control system based on adapted testing technology,” Problems and prospects of IT industry development in Ukraine: International science-practice Conf., 18-19 November 2009. : Collection of abstracts. Kharkiv: KhNUE Publishing House, 2009, pp. 266–268. (in Ukrainian)
Downloads
Issue
Section
License
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 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 (See The Effect of Open Access).
