The abstractness of program concepts and the lack of students’ interest are the two main reasons for the high failure rate in introductory programming courses and the high dropout rate of students in colleges. To help and motivate students, researchers are constantly proposing various tools. One of many such methods is visualization of algorithms, which improves the quality of lectures and facilitates learning of algorithms. The reason is that the human brain processes visual images more easily than long pieces of source code, making it easier for a person to understand the process of implementing algorithms. The aim of this diploma thesis is to find different approaches and to lower the level of the abstraction of algorithms to the beginners, so the focus is on a group of students who are interested in the field of computer science and informatics and do not have prior knowledge of sorting algorithms or they just learn them.The application created in this diploma theses involves step-by-step learning (this is one of the most effective ways to understand abstract concepts), learning by iteration, and visualization on large datasets.
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