
www.ijcrsee.com
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Tsankov, N. (2025). Multimodal Competence of Future Teachers – A Context of Understanding and Opportunities for
Development in University Education, International Journal of Cognitive Research in Science, Engineering and Education
(IJCRSEE), 13(2), 505-513.
0.027, which is also less than 0.05. This again suggests a statistically significant deviation from normality.
As a result, the null hypothesis (H
0
) is rejected, confirming that the data for master’s students (part-time
study) are also not normally distributed.
The Shapiro-Wilk test for each study group is statistically significant, i.e. p(Sig.)<0.05, which is a
reason to accept the alternative hypothesis that the data studied do not have a normal distribution and the
use of non-parametric methods of analysis is justified.
The established differences in the criteria “knowledge” and “skills” in the final study in the groups
after the application of the technological variant based on the constructivist and situational approach to
the development of multimodal competence of students in the conditions of constructivist educational
environment are presented in Table 2
.
The statistical interpretation of the data in terms of the degree of formation and development of
multimodal competence based on the transgressive synergetic model of competence development and
operationalized technological variant in the subject field of the academic disciplines “Pedagogy of con-
struction and technology activities” and “Productive activities in technical and technological training in
kindergarten and grades 1-4” is presented summarized and commented indicatively in view of the objec-
tives of the specific empirical study. In the context of the pilot study, the focus is on the degree of forma-
tion of skills as basic constructs of multimodal competence, as well as the possibility of their development
through the applied technological option.
When comparing the differences in the groups (B.Sc. and M.Sc.) in terms of K
x
, a certain difference
in favour of the M.Sc. students was found.
When comparing the results at the beginning and at the end of the study, Wilcoxon test (Wicoxon)
was again used to compare two correlated (related) samples (groups), and the decision was based on the
significance level (α), which corresponds to the empirical value of the criterion.
Table 2. Average coefficients - degree of development by criteria
Criterion
Average Coefficient –
Development Level (K
x
)
Average Coefficient –
Development Level (K
x
)
Bachelor’s Master’s
Initial Study
Final Study
Difference
(development level)
Initial Study
Final Study
Difference
(development level)
Knowledge of different communication modes
0,24 0,52 0,28 0,29 0,63 0,34
Selection, combination, adaptation, and develop-
ment of multimodal educational content
0,31 0,64 0,33 0,35 0,72 0,37
Integration of different communication channels 0,22 0,58 0,36 0,28 0,65 0,37
Technological combination of different modalities
in multimodal modes
0,30 0,52 0,22 0,45 0,85 0,40
Design of multimodal resources according to:
0,21 0,53 0,32 0,32 0,69 0,37
Subjects
0,20 0,45 0,25 0,22 0,52 0,30
Technological possibilities 0,18 0,40 0,22 0,42 0,86 0,44
Subject content 0,30 0,70 0,40 0,35 0,80 0,45
Expected results 0,25 0,75 0,50 0,40 0,85 0,45
Interdisciplinary specifics 0,12 0,35 0,23 0,20 0,42 0,22
Design of multimodal resources while adhering to
ethical principles and value focuses
0,36 0,66 0,30 0,42 0,80 0,38
Design of multimodal environments 0,18 0,68 0,50 0,22 0,86 0,64
The results of the application of the Wilcoxon test (Wicoxon) show the associated significance
level, given in the order Asymp. Sig. (2-tailed), with respect to the B.Sc. p=0.045<0.05 and with respect