TY  - JOUR
T1  - Data Mining in Mathematics Education: Implications for Curriculum Innovation
AU - Ene, Catherine Uzo AU - Igbokwe, Uche Lebechi AU - Ogbonna, Chimaobi Samuel AU - Nnadi, Ekwutosi Monica 
JO  - Asian Journal of Information Technology
VL  - 18
IS  - 3
SP  - 77
EP  - 88
PY  - 2019
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2019.77.88
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2019.77.88
KW  - Data mining
KW  -educational data mining
KW  -mathematics education
KW  -curriculum
KW  -innovation
KW  -EDM
AB  - 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.
ER  -