"AN INVESTMENT IN KNOWLEDGE ALWAYS PAYS THE BEST INTEREST" BENJAMIN FRANKLIN
In this chapter, we provide information on how much information of both participants of curriculum can be analyzed to provide readers with insights into the field of big education data and various stakeholders, and thus to promote data driven actions to improve the quality of teaching techniques. We introduce the readers to the field of the methods used in international practice have been researched, but we would like to create a platform in which the aspirations of both parties in education-teachers and students-coincide, and this is the main goal of our work. In this method, the existing deep learning and data mining mechanisms are applied, their opinions are compared, commonalities (trends) are found, and the result is applied to the teaching process as a suggestion. The concept of quality improvement in education is presented in relation to two factors: (a) the impact of academic processes on the development of the teaching/learning process and (b) the implementation of curriculum and education plans presented as a result of practical application.
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