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This study uses the machine learning algorithm of decision tree classification to determine the features most useful for predicting overall productivity of an ice hockey player in an NHL (National Hockey League) season. While most existing studies use detailed data on a small number of players, this analysis is performed using a publicly accessible...
The article provides an overview of adaptive e-learning models. For each model, the structure and the representation methods of educational content are described. An analysis of the strong and week features of the presented e-learning models is discussed. The main lack is the absence of predefined didactic structure of the learning objects. This es...
The new model is based on the possibility of verifying the student’s learning outcomes to the requirements for graduates of a definite direction of preparation of bachelors or masters. This correspondence is realized through a logical connection of the competencies that a graduate must possess and the content of education received in the learning process.