Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

Table 2

	User n	User %	Non User n	Non User %	*Chi2 p*
Total	55	59%	38	41%
Learning styles
Active/Reflective					p = 0.53
Active	9	16%	9	24%
Intermediate Act/Ref	38	69%	22	58%
Reflective	8	15%	7	18%
Visual/Verbal					p = 0.66
Visual	24	44%	15	39%
Intermediate Vis/Ver	29	53%	20	53%
Verbal	2	4%	3	8%
Sensing/Intuitive					p = 0.96
Sensing	23	42%	15	39%
Intermediate Sen/Int	27	49%	19	50%
Intuitive	5	9%	4	11%
Sequential/Global
Sequential	10	18%	8	21%	p = 0.86
Intermediate Seq/Glo	31	56%	22	58%
Global	14	25%	8	21%
Prior experience to E-learning					p = 0.30
Yes	44	81%	26	72%
No	10	19%	10	28%
Future most interesting speciality					p = 0.17
Internal/Family med	12	34%	4	15%
Operating	16	46%	12	46%
Indecisive	7	20%	10	39%

Table 2 show the result compared the user and non user group divided into learning style. The user was defined as a student who logged on for at least 30 minutes to the system. P value for Chi² comparison between user and non-user according to the respective dimensions. The number of responses varies because not all respondents answered all questions.

ISSN: 1472-6920