Abstract
Nowadays, education is a complex process that has many advantages. This is obviously proven, as there are high demands on skills in today's world. Therefore, it is a good approach to acquire this knowledge during the studies. Accordingly, there is a high requirement how to constantly improve and acquire new experiences. To meet as many of these parameters as possible, it is important that we have an appropriately structured environment for students. The teaching process can be interpreted in several ways. We focus on data analysis in the teaching process through e-learning systems. Obviously, these supporting systems have many advanced functionalities to make the entire learning process much easier to understand. In our work, we focus on methods and approaches by means of we can evaluate student behaviour and we can measure and evaluate the course settings. We used introductory programming courses for these measurement purposes. We explored various managerial settings inside a concrete course structure. Subsequently, we used statistical evaluation over the already cleaned and pre-processed data from the system. At the same time, based on these statistical confirmations, we can propose a set of methodological recommendations for the teacher, which will help us to improve the quality, feasibility of the entire teaching process.
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Obonya, J., & Kadlečík, M. (2020). Assessing the intensity of the usability of the course content within the virtual learning environment. International Journal of Emerging Technologies in Learning, 15(17), 165–180. https://doi.org/10.3991/ijet.v15i17.13715
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