The Pedagogy of English Teaching-Learning at Primary Level in Rural Government Schools: A Data Mining View

2. Background And Related Work

Educational data mining has emerged as an independent research area in recent years, culminating in 2008 with the establishment of the annual International Conference on Educational Data Mining, and the Journal of Educational Data Mining. Romero and Ventura (2007) provides a comprehensive study of EDM from 1995 to 2005. It describes the need for analyzing the student data which can be used by students, educators and administrators.

Z.N. Khan (2005) found Girls with high socio-economic status were relatively higher achievers in science stream and boys with low socio-economic status were relatively higher achievers in general.

Madhyastha and Tanimoto (2009) investigated the relationship between consistency and student performance with the aim to provide guidelines for scaffolding instruction.

Beck and Mostow (2008) and Pechenizkiy et al. (2008) discovered which types of pedagogical support are most effective, either overall or for different groups of students or in different situations. McQuiggan et al. (2008),found whether students are experiencing poor self-efficiency. Baker (2007) identified students who are off-task. D'Mello et al. (2008) studied on students who are bored or frustrated. Dekker et al. (2009), Romero et al. (2008) and Superby et al. (2006) found short comings that predict student shortcoming or non-retention in college courses.