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Table 2 Description of features used in prediction models

From: Developing an early-warning system for spotting at-risk students by using eBook interaction logs

Features

Description

totalevent

Total number of events

content

Number of different contents studied by the student

session

Number of reading sessions by the student

time

Total time spend on eBook system in minutes

week

Number of different weeks that student use the system

day

Number of different days that student use the system

completionrate

Average completion rate of all books

longevent

Number of events longer than 3 s

shortevent

Number of events less than or equal to 3 s

next

Number of Next events

previous

Number of Previous events

jump

Number of Jump events

redmarker

Number of red markers added by the student

yellowmarker

Number of yellow markers added by the student

memo

Number of memos added by the student

bookmark

Number of bookmarks added by the student

score

Academic performance of students at the end of the semester