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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