Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques

Table 1

Multiagent’s features with data description.

Table/agent name	Column name	Data description
Student’s info	Code module	The courses’ names which students are allowed to register
	Code presentation	The name of the semester that students register for the course
	Id students	Unique numbers assigned to each student that is not repeated for another student
	Gender of students	Each student’s gender (male or female)
	Region	The place where students live during studying the course
	Highest education	The latest level that students have before registering for the course
	IMD band	More specific places where students live during studying the course
	Age band	The interval of student’s age
	Num of prev attempts	The number that students register for the course before
	Studied credits	The total credit hours of the courses for each student
	Disability	Disability for each student
Course	Code module	The name of each course
	Code presentation	The semester that each student registers for the course
Student’s VLE	Code module	The name of the courses
	Code presentation	The semester name for each course that is assigned to students
	Id student	The number assigned to each student, and it must be unique
	Id site	The number that should be uniquely assigned to each material
VLE	Id site	The number assigned to each VLE material in the course
	Code module	The name of the course
	Code presentation	The semester that students studied the courses
	Activity types	The learning style of the courses that students studied in each semester