Internet addiction and interest as predictors of mathematics academic achievement among secondary school students in Obio-Akpor local Government area of Rivers State Nigeria
Onukwufor Jonathan N, Amadioha Ambrose
This study investigated internet addiction and interest in mathematics as predictors of academic achievement in mathematics among secondary school students in Obio-Akpor Local Government Area (LGA) of Rivers State. The population of the study comprised all the senior secondary school class two (SSS 2) students. Sample for the study comprised 180 students drawn through purposive sampling technique from four secondary schools in the L.G.A. Research design adopted for the study is correlational research design. Two instruments were used for the study. They are Internet Addiction Test (IAT) developed by Young (1998) , which has 20 items. The other instrument used was the mathematics interest inventory developed by the researchers and it is made up of 12 items. Academic achievement in mathematics was measured with the students SSS 2 mathematics scores which were converted to T standard scores. The reliability co-efficient for both the IAT and MII were 0.78 and 0.81. Multiple and linear regression were used to answer the research questions, while ANOVA associated with multiple regression and T-test associated with linear regression were used to test the hypotheses. Two research questions and two hypotheses were answered and tested in the study respectively. The findings of the study were as follows: there was no significant joint prediction of internet addiction, interest in mathematics on students academic achievement in mathematics. There was significant independent prediction of interest in mathematics on students academic achievement in mathematics. There was no significant independent prediction of internet addiction on students academic achievement in mathematics. It was recommended among others that: teachers should help secondary school students to develop interest in mathematics since this significantly predicts students academic achievement in mathematics.