From: Designing and evaluating a big data analytics approach for predicting students’ success factors
Dataset features | Brief description | |
---|---|---|
1 | session_Id | Number based value for the session number |
2 | student_Id | Number based value for the student number |
3 | exercise | Number based value for the exercise number in a certain session |
4 | activity | Text based value for the abbreviation of activity categories |
5 | start_time | Date based value for the start date and time of an activity |
6 | end_time | Date based value for the end date and time of an activity |
7 | idle_time | Number based value for idle time during the activity |
8 | mouse_wheel | Number based value for count of the mouse wheel |
9 | mouse_wheel_click | Number based value for count of mouse wheel clicks |
10 | mouse_click_left | Number based value for count of mouse left clicks |
11 | mouse_click_right | Number based value for count of mouse right clicks |
12 | keystroke | Number based value for total count of keystrokes in a certain activity |
13 | mouse_movement | Number based value for the distance covered by the mouse movements |
14 | final_total | Number based value for the final marks of the student at the end of the semester |