EMT: Ensemble Meta-Based Tree Model for Predicting Student Performance

Table 3

The main features used in predicting the performance of students.

Information type	Attribute name	Values
Part A; Student information	(i) Gender	{Male, Female}
Part B; Education information	(i) Stage_ID; (ii) Semester; (iii) Topic	{LowerSchool, MiddleSchool, HighSchool}; {First, Second}; {IT, Math, Arabic, Science, Quran, English, Spanish, French, Biology, Chemistry, Geology, History}
Part C; Students’ behaviors	(i) Student_Absence_Days; (ii) Raised_Hands; (iii) Visited_Resources; (iv) Announcements; (v) Discussion	{Under-7, Above-7}; The values are equal or greater than 0; The values are equal or greater than 0; The values are equal or greater than 0; The values are equal or greater than 0
Part D; Family behaviors	(i) Relation; (ii) Parent_Answering_Survey; (iii) Parent_School_Satisfaction	{Father, Mother}; {Yes, No}; {Good, Bad}
Part E; Students’ status	(i) Class	{L, M, H}