Testing as a Tool for Measuring Knowledge Assimilation and Personalization of Learning

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Abstract

The article describes the increase in students' knowledge, assimilation of the material covered using the example of studying the discipline "Data Analysis", as well as issues related to the quality of the obtained data sets. The main objective of the study is to assess the level of change in students' knowledge within the academic course, based on the entrance and exit testing. To achieve this goal, the following tasks are solved: development and selection of tests to assess the initial and final level of knowledge, development of tests on topics covered in the course; collection, transformation and preparation of data for the study; selection of statistical methods and tools for conducting the study and presenting the results. The process of student learning is described and conclusions are made about its effectiveness based on the statistical tests conducted. The article discusses the use of educational web services, tools for preliminary data preparation for subsequent analysis. Conclusions are made about the possible dissemination of the described methods across higher education institutions.

General Information

Keywords: testing, statistics, learning analytics, data quality

Publication rubric: Modeling and Data Analysis for Digital Education

Article type: theses

For citation: Oskin D.A. Testing as a Tool for Measuring Knowledge Assimilation and Personalization of Learning. Digital Humanities and Technology in Education (DHTE 2024): Collection of Articles of the V International Scientific and Practical Conference. November 14-15, 2024 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2024., pp. 543–553.

Information About the Authors

Dzmitry A. Oskin, Senior Lecturer, National Institute for Higher Education, Minsk, Belarus, ORCID: https://orcid.org/0000-0002-9783-9042, e-mail: d_oskin@mail.ru

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