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Table 1 Bivariate analysis of differences in e-learning adoption with the learner and IT aspects

From: Predictors for adoption of e-learning among health professional students during the COVID-19 lockdown in a private university in Uganda

 

Total

E-learning adoption

p-value

Overall

n = 109

No (34.9%)

n = (38)

Yes (65.1%)

n = (71)

Sex

 Female

65 (59.6)

21 (32.3)

44 (67.7)

0.496

 Male

44 (40.4)

17 (38.6)

27 (61.4)

 

Age

 20–29 years

69 (63.3)

26 (37.7)

43 (62.3)

1.868

 30–39 years

33 (30.3)

9 (27.3)

24 (72.7)

 

 40 and above

7 (6.4)

3 (42.9)

4 (57.1)

 

Year of study

 One

63 (57.8)

14 (22.2)

49 (77.8)

0.002

 Two

46 (42.2)

24 (52.2)

22 (47.8)

 

Marital status

 In union

41 (37.6)

10 (24.4)

31 (75.6)

0.054

 Not in union

68 (62.4)

28 (41.2)

39 (58.8)

 

In COVID 19 management frontline

 No

52 (47.7)

19 (36.5)

33 (63.5)

0.807

 Yes

57 (52.3)

19 (33.3)

38 (66.7)

 

I manage time well

 No

37 (29.4)

18 (48.6)

19 (51.4)

0.030

 Yes

72 (70.6)

20 (27.8)

52 (72.2)

 

High expectations in e-learning

 No

9 (8.3)

8 (89.0)

1 (11.0)

0.001

 Yes

100 (91.7)

30 (30.0)

70 (70.0)

 

I feel confident using IT devices

 No

32 (29.4)

19 (59.4)

12 (40.6)

< 0.001

 Yes

77 (70.6)

19 (24.4)

59 (75.6)

 

Prior experience in e-learning

 No

30 (27.5)

18 (60.0)

12 (40.0)

0.001

 Yes

79 (72.5)

20 (25.3)

59 (74.7)

 

I consider e-learning to be flexible

 No

31 (28.4)

17 (54.8)

14 (45.2)

0.006

 Yes

78 (71.6)

21 (26.9)

57 (73.1)

 

Affordable internet

 No

73 (67.0)

32 (43.8)

41 (56.2)

0.005

 Yes

36 (33.0)

6 (16.7)

30 (83.3)