Research Article
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 |
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