Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students

Table 1

Features of student dataset and their categories.

Attribute	Description	Category of features
Sex	Gender	Demographical features
Age	Age of the student
Address	Address of student
Health	Health of the student
Living area	Urban and rural area
Romantic status	Interest in romance
Medu	Mother education	Participation of parents on the whole learning process
Fedu	Father education
Mother_job	Mother job
Father_job	Father job
Study time	Study time	Academic background features
Desire_higher_edu	Desire to receive higher education
Final grade	Final grade of student (good, poor, fair)
Period1_score	Subject 1 score
Period1_score	Subject 2 score
Final-score	Final score of student on the basis of subject
Freetime	Free time spend by student
Absences	Absences of the students
Failures	Failures of student
Technology	Technology used by student	Technological features
DSM	Daily-social-media-usage
WSM	Weekly-social-media-usage