4.1. Descriptive Analysis
First, participants were asked to what extent they were aware of certain basic constructs linked to the Sustainable Development Goals (gender equality, human rights, social justice, diversity, global citizenship, climate change, Agenda 2030, sustainable development, and SDGs). The values for the responses ranged from 1 (the lowest value) to 5 (the highest value). Descriptive data for the control and experimental groups from the pretest and post-test (
Table 2) show a trend towards improved knowledge and understanding of the basic constructs linked to the Sustainable Development Goals.
Although the differences are small, this post-intervention improvement is evident in the CG. The most notable improvements are observed in the concepts of climate change, sustainable development, and sustainable development goals, where the post-intervention means are clearly higher than pre-intervention means. Similarly, the descriptive data for the experimental group show a positive trend in knowledge and understanding of the constructs analyzed. Although some improvements are small, there is a clear upward trend across all the concepts assessed in this case. The most notable improvements are observed, in this case, in diversity, global citizenship, Agenda 2030, sustainable development, and Sustainable Development Goals. These results suggest that the intervention effectively improved knowledge about the SDGs in several key areas.
In the statistical analysis for testing similar baseline knowledge, the hypothesis that both groups (CG and EG) do not differ in subject knowledge is tested. This hypothesis is confirmed as no statistical significance exists in any of the items. Therefore, there are initial equivalences.
With regard to the contrast between the pretest and post-test in the control group, which was not provided with experimental training, the results do not differ in terms of their assessments or knowledge after the end of this study. Therefore, the level of knowledge does not differ significantly between the pretest and post-test in the control group.
The comparison of equivalent medians in this non-parametric test indicates that items with sig. values below 0.05 indicate that there are significant differences in the ratings of those items depending on the pretest or post-test time. If we look at the results, we can see that there are significant differences between the pretest and post-test (higher scores in the post-test) in the experimental group.
It is also evident that there are significant differences in the assessment of the item between the experimental group and the control group. There are, therefore, significant differences between the two groups (higher scores in the control group) at the post-test moment.
This is why the treatment or experimental design may suggest that it has been relevant since the improvements occurred in the experimental group. In contrast, in the control group, there is no significant relevance in the students’ pretest–post-test evolution (
Table 3).
The effect size helps us interpret the quality of the fit between items. It is the most powerful or highly significant statistical significance—in absolute value—(>0.4 is already considered a high effect size).
The statistical analysis suggests that the educational intervention in the experimental group effectively improved knowledge and understanding of the concepts linked to the SDGs. The results show no significant changes in the control group, underlining the effectiveness of the treatment implemented in the EG.
The comparison of equivalent medians for the total sample (
Table 4) indicates that there are no significant differences in the ratings of these items according to the control or experimental group, with the exception of the item climate change. There are differences in the comparison between the CG and EG groups, but in this case, it is not attributable to the intervention received by the experimental group.
The statistical analysis suggests that the educational intervention in the experimental group effectively improved knowledge and understanding of certain concepts linked to the SDGs. The results show significant improvements in several items in the experimental group after the intervention, while the control group showed no significant changes. This indicates that the intervention positively impacted the knowledge of the experimental group.
The comparison of equivalent medians for the total sample (
Table 5 and
Table 6) indicates, again, that items with sig. values below 0.05 indicate that there are significant differences in the ratings of those items as a function of pretest–post-test time. Therefore, there are significant differences between the passage of time and learning (higher scores on the post-test). Specifically, in relation to comparing the results according to the pretest and post-test time (
Table 5), the post-test time had a positive and significant impact on knowledge about global citizenship. The improvement in the mean from 3.60 to 3.86 and a significant
p-value (0.008) indicates that participants improved their knowledge on this topic over time. Similarly, it positively and significantly impacted participants’ knowledge of Agenda 2030, sustainable development, and the Sustainable Development Goals. The increases in means and significant
p-values suggest that the intervention effectively improved knowledge in these areas.
Statistical analysis suggests that the educational intervention in the experimental group effectively improved knowledge and understanding of several concepts linked to the SDGs. The results show significant improvements in several items for the experimental group after the intervention, while the control group showed no significant changes. This indicates that the intervention positively impacted the knowledge of the experimental group.
Overall, participants understand the concepts analyzed, especially in areas such as gender equality, human rights, social justice, and diversity (
Table 6). However, there is variability in the knowledge of some concepts, such as global citizenship, Agenda 2030, and sustainable development, with some respondents reporting very low levels of understanding. The high variability in certain concepts suggests a need for more education or intervention in these specific areas.
Most variables showed no significant differences between the control and experimental groups or in the pre–post comparisons within groups (
Table 6). However, social justice was a notable exception, where significant differences were found both pre–post in the experimental group and post-test between the groups. This suggests that the intervention had a specific impact on social justice but not on the other areas measured.
Statistical analysis suggests that the educational intervention in the experimental group effectively improved knowledge and understanding of several concepts linked to the SDGs. The results show significant improvements in several items for the experimental group after the intervention, while the control group showed no significant changes. This indicates that the intervention positively impacted the knowledge of the experimental group.
4.2. Comparative Analysis
The data collected from the descriptive analysis were compared with some variables, such as gender and the degree studied by the participants. In relation to the gender variable, the comparison of equivalent medians using this non-parametric test indicates that there are no significant differences in any of the items according to gender. Therefore, these ratings do not vary according to gender.
Both men and women have good knowledge of the concepts analyzed, with slight differences between them. In most cases, women tend to have a slightly higher knowledge of the issues assessed. However, men also show a high level of understanding in specific areas such as human rights, social justice, and climate change. The variability in responses suggests that there are specific areas where education and intervention might be well distributed between the two genders.
Overall, students in the different education programs understand the concepts related to the Sustainable Development Goals (SDGs) (
Table 7). However, there are variations in the understanding of specific concepts across different programs. This suggests that it would be beneficial to design tailored educational strategies to strengthen understanding of certain themes, such as social justice and global citizenship, especially for students with lower scores on these aspects. Furthermore, these results highlight the importance of integrating SDG education into all levels of formal education to ensure a sound understanding and effective action towards sustainable development.
The average ranks represent the relative position of each program in terms of understanding the constructs analyzed, whereas higher ranks indicate apparently better understanding. In this respect, differences are evident between the degree programs (
Table 8).
The non-parametric H-Kruskal-Wallis analysis allows us to compare medians of multiple groups: it determines whether there are significant differences between the medians of 3 or more independent groups. The adjusted sig. value is used using the Bonferroni correction for non-parametric ANOVA with multiple testing or comparisons.
For the concepts of “Gender equality”, “Human rights”, “Social justice”, and “Diversity”, the
p-values are greater than 0.05 (
Table 9). This indicates insufficient evidence to reject the null hypothesis that no significant differences exist between programs for these concepts. For the concepts of ‘Global Citizenship’, ‘Climate Change’, ‘Agenda 2030’, ‘Sustainable Development’, and ‘Sustainable Development Goals’, the
p-values are less than 0.05. This suggests that there are significant differences between the programs for these statements.
Following the significant differences found in
Table 9, posterior tests were carried out to determine which pairs of categories exhibit these differences. The results suggest that students with a Bachelor’s Degree in Social Education show significant differences in their understanding of global citizenship compared to students with a Bachelor’s Degree in Primary Education, Bachelor’s Degree in Pedagogy, and Master’s Degree in Secondary Education (
Table 10).
Master’s Degree students in Secondary Education show significant differences in their understanding of Climate Change compared to Bachelor’s Degree students in Pedagogy and Primary Education (
Table 11).
Students with a Bachelor’s Degree in Social Education show significant differences in their understanding of the 2030 Agenda compared to students with a Master’s Degree in Primary Education, a Master’s Degree in Teaching in Secondary Education, and a Bachelor’s Degree in Pedagogy (
Table 12).
Students with a Bachelor’s Degree in Social Education show significant differences in their understanding of the concept of Sustainable Development compared with the students of Primary Education Teacher, Bachelor’s Degree in Pedagogy, and Master’s Degree in Secondary Education Teaching (
Table 13).
Likewise, students with a Bachelor’s Degree in Social Education show significant differences in their understanding of Sustainable Development Goals compared to students with a Master’s Degree in Primary Education and a Master’s Degree in Secondary Education (
Table 14).
Finally, there is no association between the degree variable and the integration of competencies for sustainable development by the teaching staff. The evaluations given do not influence the degree taken. Regarding integrating competencies related to the SDGs and the 2030 Agenda, most respondents (50.8%) indicated that they have worked on competencies related to sustainable development in some subjects. A significant percentage (28.6%) claimed to have worked on them in most subjects. A smaller number of respondents (9.5%) indicated they had worked on these competencies in all subjects. Only a minority (8.7%) mentioned having worked on them in only one subject, while a small percentage (2.4%) stated that they had not worked on them in any subject. In summary, most respondents have worked on these competencies in at least some subjects, suggesting a varied distribution in acquiring these skills among respondents.
In the comparison by degree, among students with a Master’s Degree in Secondary Education, the majority indicated having worked on competencies for sustainable development in some subjects (55.2%). Students with a Bachelor’s Degree in Pedagogy showed a more uniform distribution of teaching these competencies by the teaching staff, with a similar proportion in all categories. Most students with a Bachelor’s Degree in Social Education indicated working on these competencies in some subjects (52.4%).
In summary, it appears that there are differences in the distribution of work on competencies for sustainable development among the teaching staff of the different degrees. A higher proportion of students with a Master’s Degree in Secondary Education indicate having worked on these competencies in some subjects compared to students with other degrees.
Finally, in the comparative analysis, the results indicate that there is no significant association between the degree program taken by the students and the acquisition of teacher competencies since all the significance values are greater than the level of significance typically used (0.05) (
Table 15).
On balance, students in the different educational programs understand concepts related to the SDGs. However, there are significant variations in understanding specific concepts, such as global citizenship and social justice. Students with a Bachelor’s Degree in Social Education show a significantly better understanding of concepts such as global citizenship, Climate Change, Agenda 2030, sustainable development, and SDGs compared to students in other programs. In contrast, students with a Master’s Degree in Secondary Education better understand Climate Change than those with a Bachelor’s Degree in Pedagogy and Primary Education.
Statistical analyses show significant differences in the understanding of some key concepts:
Global Citizenship: Social Education students stand out compared to Primary Education, Pedagogy, and Secondary Education students.
Climate Change: Students in the Master’s in Secondary Education better understand it than those in Pedagogy and Primary Education.
Agenda 2030 and Sustainable Development: Social Education students understand better than Primary Education, Pedagogy, and Secondary Education students.
SDGs: Similar to the above, Social Education students have a higher understanding than primary and Secondary Education students.
Therefore, it is advisable to design specific education strategies to improve understanding of issues such as social justice and global citizenship in the lowest-scoring programs. Integrating SDG education more effectively at all levels of education can help improve understanding and action towards sustainable development.
In summary, while students generally understand the SDGs well, notable differences between programs suggest that more personalized educational approaches are needed to address variations in understanding specific concepts.