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Table 3 Descriptive statistics of features

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

Features

High Performers (n = 45)

Low Performers (n = 45)

t Test

mean

SD

mean

SD

t-value

contentcount

9.33

3.84

5.2

5.15

t = 4.31 (p < 0.001)

sessioncount

11.62

5.82

4.73

4.83

t = 6.11 (p < 0.001)

totaltime

320

288

93.44

109

t = 4.92 (p < 0.001)

totalevent

1068

1093

441

607

t = 3.36 (p < 0.01)

uniqueweek

6.24

2.47

2.58

2.58

t = 6.88 (p < 0.001)

uniqueday

7.44

3.30

3.02

2.97

t = 6.68 (p < 0.001)

completionrate

67.13

24.77

40.84

34.69

t = 4.13 (p < 0.001)

longevent

328

330

130

172

t = 3.57 (p < 0.001)

shortevent

739

789

311

456

t = 3.15 (p < 0.01)

next

719

694

307

425

t = 3.39 (p < 0.01)

prev

272

305

105

155

t = 3.26 (p < 0.01)

open

32.67

26.38

14.47

17.03

t = 3.88 (p < 0.001)

jump*

8.93

17.29

1.51

4.19

t = 2.79 (p < 0.01)

marker*

2.36

4.28

0.6

2.09

t = 2.47 (p < 0.05)

memo*

8.91

42.32

0.33

1.55

t = 1.36 (p < 0.5)

bookmark*

0.44

0.72

3.42

15.26

t = −1.3 (p < 0.5)

score

84.58

11.25

47.71

19.72

t = 10.8 (p < 0.001)

  1. *Features that were excluded from the dataset because of students' low participation