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Chi-Square Automatic Interaction Detection Modelling of the effects of Social Media Networks on Students’ Academic Performance

A.A. Onoja, O.L. Babasola, V. Ojiambo

Several researches have shown that social media usage influence students’ academic performance. This study focus on some social media platform such as Facebook, Whatsapp, Skype, Twitter, 2go, Instagram, Badoo, to mention few that students frequently utilize in order to ascertain their influence on students’ academic performance in core subjects. The Chi-squared Automatic Interaction Detection (CHAID) decision tree technique was used to establish this relationship between explanatory and response variable; the technique is based upon adjusted significance testing and used for detection of interaction between the dependent variable (student academic performance) and the predictors. This study explores the adverse effects of such networks sites on students’ academic performance in secondary schools. The factors considered were; time spent reading, time spent on the social media site, guardian monitor of the internet, number of assignment given, purpose of internet and the kind of social media site frequently access by the students. These factors were used to ascertain academic performance of students in English language and Mathematics subjects. The results of the analysis showed that students that tends to frequent social media sites like Facebook, Whatsapp, and Instagram tends to performed on an average in the two subjects while those that frequent Skype, Twitter and 2go networks tends to perform better in the two subjects.