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Table 1 Background information of students

From: Precision education with statistical learning and deep learning: a case study in Taiwan

 

Total

Current students

Dropout students

 

Variable

Frequency (%)

Frequency (%)

Frequency (%)

p value

No. of students

3552 (100)

3140 (88.40)

412 (11.60)

 

Gender

 Female

2093 (58.92)

1896 (60.38)

197 (47.82)

< .001

 Male

1459 (41.08)

1244 (39.62)

215 (52.18)

Disadvantaged status

 No

2725 (76.72)

2409 (76.72)

316 (76.7)

.993

 Yes

827 (23.28)

731 (23.28)

96 (23.30)

High school

 Public

1964 (55.29)

1738 (55.35)

226 (54.85)

.849

 Private

1588 (44.71)

1402 (44.65)

186 (45.15)

Dynamic of class ranking percentage (Academic performance)

 Maintained/Improved

2048 (57.66)

1847 (58.82)

201 (48.79)

.001

 Deteriorated

1504 (42.34)

1293 (41.18)

211 (51.21)

Student loan application

 No

2457 (69.17)

2203 (70.16)

254 (61.65)

< .001

 Yes

1095 (30.83)

937 (29.84)

158 (38.35)

No. of absences from school

  < 40

2817 (79.31)

2605 (82.96)

212 (51.46)

< .001

  ≥ 40

735 (20.69)

535 (17.04)

200 (48.54)

No. of alerted subjects

  < 2

2997 (84.38)

2753 (87.68)

244 (59.22)

< .001

  ≥ 2

555 (15.63)

387 (12.32)

168 (40.78)

Served as a class cadre

 No

2645 (74.47)

2337 (74.43)

308 (74.76)

.885

 Yes

907 (25.53)

803 (25.57)

104 (25.24)

Part-time job experience

 No

3513 (98.9)

3104 (98.85)

409 (99.27)

.444

 Yes

39 (1.10)

36 (1.15)

3 (0.73)

  1. Note. The p value indicates the comparison between the background variable of the current and dropout students; a significant difference existed with p being less than .05