Mathematical Modeling in Multilevel Educational Programs
D.V. Ivanov, L.P. Merkulova, E.G. Nelyubina, L.V. Panfilova, E.Yu. Bobkova
Available Online July 2019.
- https://doi.org/10.2991/hssnpp-19.2019.79How to use a DOI?
- innovation modeling, hereditary models, fractional calculus, errors in variables, least-squares method
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/hssnpp-19.2019.79 ID - Ivanov2019/07 ER -