Innovative Approach to Assessing University Students

Abstract

This article examines innovative methods of assessment, namely multi-stage adaptive measures to improve the efficiency of student assessment procedures and obtain immediate feedback, reliable and valid assessments. The main methods that were applied in this article are mathematical models and measurements based on IRT models. Multi-stage adaptive measurements, as one of the innovative approaches that increase the effectiveness of student assessment, allow for the principle of individualization, updating in education and receiving immediate feedback to improve the learning process and educational content. Multistage adaptive measurement can be applied to blended learning, massive open online courses, and e-learning. The article may be of interest to teaching staff and experts in developing effective methods for assessing learning outcomes. In this regard, an organizational structure and block diagram of a student assessment program based on the pyramidal method have been developed.