Authors : Uche Lebechi Igbokwe, Chimaobi Samuel Ogbonna, Catherine Uzo Ene and Ekwutosi Monica Nnadi
Abstract: On a daily basis, a huge quantity of data is generated in different areas of man’s end eavour. The rate of data generation has become unprecedented with the current advancements in information communication technology. It has been found that these huge data deposits are rich mines of information, thus, the quest to mine and harvest this information from large data sets. This opened up a very relevant research field known as data mining. It is concerned with intelligently seeking patterns and subtle trends in large data sets. When the data set mined comes from the educational sector, this is specially referred to as Educational Data Mining (EDM). In this research, we tried to explore the various applications of data mining technology in education and particularly mathematics education in the bid to underscore its relevance in mathematics education and its possible implication for innovation of mathematics education curriculum. This we did by first looking at data mining generally and then its evolution in the education sector as Educational Data Mining (EDM). Then specifically, we sought to provide evidence of the relevance of EDM to mathematics education by showing how EDM techniques can be applied to solve common problems associated with mathematics education and the implication of EDM techniques for effective curriculum innovation. It is then recommended that EDM be adopted and used more widely in different fields of education, especially, mathematics education as it has all it takes to move the system to the next level, especially, in taking managerial decisions, academic decisions and curriculum development decisions.
Uche Lebechi Igbokwe, Chimaobi Samuel Ogbonna, Catherine Uzo Ene and Ekwutosi Monica Nnadi, 2019. Data Mining in Mathematics Education: Implications for Curriculum Innovation. Asian Journal of Information Technology, 18: 77-88.