A Data Mining view on Class Room Teaching Language

TL;DR

This paper investigates how the choice of language in classroom teaching affects student attendance, using data mining techniques like association rules to analyze the relationship between language, attendance, and engagement.

Contribution

It introduces a data mining approach to analyze the impact of teaching language on student attendance and engagement in classrooms.

Findings

Language choice influences student attendance

Association rules reveal patterns between language and attendance

Support and confidence levels indicate significant associations

Abstract

From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring knowledge but examination score is one scale which shows the performance indicator of students. So it is important that appropriate material is taught but it is vital that while teaching which language is chosen, class notes must be prepared and attendance. This study analyses the impact of language on the presence of students in class room. The main idea is to find out the support, confidence and interestingness level for appropriate language and attendance in the classroom. For this purpose association rule is used.