Nowadays, Machine Learning (ML) is one of the most promising application areas in a field of Information Technology where its application scope is almost unlimited. The application of machine learning in an education area is currently very interesting to researchers and scientists, and it is the main focus of our study. The aim of this paper is to evaluate the possibilities of applying and using machine learning in the education area. This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of education, to determine the current trends of using machine learning in education, and to determine its current and future applications.

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The house dust mites are considered to be an allergen source and a main cause of allergic rhinitis and allergic asthma. House dust mites, their feces and other allergens which they produce are usually major constituents of house dust. Any stir in the air causes settled dust, and therefore allergen source found in it, to become airborne and thus easier to be inhaled by people, possibly causing different kinds of allergic reactions (sneezing, for example). In this paper, the correlation between common home activities (walking around, bed making, vacuuming etc.) and airborne dust concentration is examined. In order to do so, a novel Internet of things architecture is proposed that is capable of establishing that correlation. This proposed system not only collects dust concentration but it also visualizes it in an easy to understand and interpret way.

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