Mathematical Modeling in Multilevel Educational Programs

DOI

10.2991/hssnpp-19.2019.79How to use a DOI?

Keywords

innovation modeling, hereditary models, fractional calculus, errors in variables, least-squares method

Abstract

The quality of education depends to a large extent on the quality of educational programs. Educational institutions develop educational programs to improve the quality of education. This involves not only monitoring changes that occur in society but also taking forecast-based steps to make educational programs predictive. The major tool for improving educational programs is student assessment. It, in turn, involves testing-the only truly practicable tool to evaluate knowledge, helping teachers assess and manage the effectiveness of instruction. For a test to assess a student's knowledge adequately, it should have the necessary characteristics. The most important of those are reliability and validity. Variables in educational tests, especially multilevel ones, often show nonlinear associations. Because of this, the use of correlation measures of association may lead to inaccurate-and sometimes incorrect-results. This paper proposes using correlation ratios to assess the validity and reliability of tests.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - D.V. Ivanov
AU  - L.P. Merkulova
AU  - E.G. Nelyubina
AU  - L.V. Panfilova
AU  - E.Yu. Bobkova
PY  - 2019/07
DA  - 2019/07
TI  - Mathematical Modeling in Multilevel Educational Programs
BT  - Proceedings of the Internation Conference on "Humanities and Social Sciences: Novations, Problems, Prospects" (HSSNPP 2019)
PB  - Atlantis Press
SP  - 423
EP  - 427
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssnpp-19.2019.79
DO  - 10.2991/hssnpp-19.2019.79
ID  - Ivanov2019/07
ER  -