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Table 2 Feature overview

From: The performance of some machine learning approaches and a rich context model in student answer prediction

N Feature type Name Description
F1 Categorical Time of the day Morning, lunch, afternoon, evening, night
F2 Numerical Time since last doing quiz Represents the time duration (in seconds) since last time the student was doing a quiz
F3 Numerical Tslr Represents the time duration (in seconds) since last time the student was reading a chapter
F4 Numerical Reading time Total reading time of learning material (chapter)
F5 Numerical Correct per chapter Number of questions answered correctly per chapter in current quiz session
F6 Numerical Correct per attempt Number of questions answered correctly per attempt
F7 Numerical Correct per session Number of questions answered correctly per session
F8 Numerical Incorrect per chapter Number of questions answered incorrectly per chapter
F9 Numerical Incorrect per attempt Number of questions answered incorrectly per attempt
F10 Numerical Incorrect per session Number of questions answered incorrectly per session
F11 Numerical Attempt number Number of times a question was answered by the student
F12 Numerical Reading sessions Number of times a student read the learning material (chapter)
F13 Numerical Question facility index Represents the question difficulty and in range between 0 and 1 (where 0 is very difficult and 1 is very easy)
F14 Numerical Question counter Question number in the quiz session
F15 Numerical Correct total Total number of questions answered correctly for a specific chapter