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1.
Breaking the silence : willingness to intervene in cases of intimate partner violence
Nika Hober, Vanja Erčulj, 2025, original scientific article

Abstract: Intimate partner violence (IPV) is frequently regarded as a private issue, with witnesses often responding accordingly. As a result, a lot of violence remains unreported, either by the victim or observers. Statistical analyses were conducted on data from an online survey of 600 respondents aged 18–65 in Slovenia. This research aimed to examine the influence of demographic factors and attitudes toward IPV on willingness to intervene or report IPV to the police. A theoretical model of intervention in IPV cases was developed and tested using structural equation modeling. The role of attitudes towards IPV as mediators between demographic variables and willingness to intervene in cases of IPV was investigated by comparing the difference in model fit between models that presumed partial and full mediation. The results supported a full mediating role of attitudes towards IPV. A full mediation model fitted the data well (SB χ2 = 765.8; df = 320; p < 0.001; SB χ2/df = 2.4; RMSEA = 0.048 (90% CI: 0.044–0.053); NFI = 0.93; NNFI = 0.95; CFI = 0.96; IFI = 0.96; SRMR = 0.08). With increasing age, and for men, the tolerance of psychological IPV increases. Men and those with lower education are more tolerant of physical IPV. Individuals with higher tolerance for physical or psychological IPV were less likely to intervene or contact the police, and more likely to remain passive. Perceptions of police effectiveness were not related to willingness to intervene. The findings emphasize the pivotal role of attitudes towards IPV, underscoring the importance of raising awareness of the phenomenon and encouraging individuals to “break the silence” by reporting it to the police.
Keywords: intimate partner violence, women, victims, attitudes towards intimate partner violence, willingness to report
Published in DKUM: 04.12.2025; Views: 0; Downloads: 0
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2.
Public attitudes towards artificial intelligence and its applications
Tomaž Gjergjek, 2025, master's thesis

Abstract: In this master’s thesis, we researched how people perceive artificial intelligence (AI) and the factors that shape their attitudes. Understanding public attitudes toward AI is crucial for ensuring its responsible development and deployment, aligning technological progress with societal expectations, and addressing ethical and social concerns. The primary goal of this study was to gain a comprehensive understanding of how the public forms attitudes toward AI and how these are influenced by perceived threats, societal benefits, and trust in institutions involved in AI development. The theoretical part reviewed the literature on the foundations of attitudes and on public perceptions of artificial intelligence, providing an essential framework for the empirical analysis. In the empirical part, a survey was conducted to explore public attitudes toward AI. Respondents were asked about their perceptions of AI as a potential threat, its societal benefits, their level of trust in institutions and companies responsible for AI, and their overall stance toward the technology. The results revealed that individuals who perceive AI as a threat to their jobs or privacy tend to hold significantly more negative attitudes. In contrast, perceived societal benefits and institutional trust did not show a statistically significant impact on overall attitudes toward AI. These findings highlight that personal concerns play a greater role than broader societal considerations or institutional trust. They also underline the importance of addressing individual fears and enhancing transparency in the development and deployment of AI technologies. Although the study faces limitations, such as a non-representative sample and reliance on self-reported survey data, it provides important insights into the complexity of public attitudes toward AI. Future research should include longitudinal and cross-cultural studies, as well as a combination of quantitative and qualitative methods, to capture the dynamic and multifaceted nature of public perceptions. The study contributes to a deeper understanding of how AI is perceived and emphasizes the need for a responsible, ethical, and socially sensitive approach to its integration into society.
Keywords: artificial intelligence (AI), public attitudes, perceived threats, societal benefits, trust in institutions, ethical considerations
Published in DKUM: 30.10.2025; Views: 0; Downloads: 11
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3.
Corporate social responsibility promotes organisation citizenship and pro-environmental behaviours : the employee’s perspective
Afshan Gull Khan, Muhammad Azeem Qureshi, Kanwal Hussain, Zuhair Abbas, Saima Munawar, 2023, original scientific article

Abstract: Background: Organisations in the contemporary workplace lack meaningful work and life, resulting in psychological and physical pain for workers. Employees seek organisations that align their daily work activities with society. Partially limited research exists on the relationship between corporate social responsibility (CSR) and employee work-related attitudes, especially with the mediating mechanism of employee work meaningfulness (EWM) and organisation identification (OID) in developing country contexts such as Pakistan. This study has used Social Learning Theory (SLT) and Social Identification Theory (SIT). Methods: Data were collected through a sample of 154 employees in two waves from multiple sectors in Karachi, Pakistan, using non-probability, purposive sampling. The PLS-SEM, along with IBM-SPSS, was run for data analysis. Results: The results demonstrated that Corporate social responsibility (CSR) has a significant positive relationship with employee work-related attitudes. CSR affects organisational citizenship behaviour (OCB) and pro-environmental behaviours (PEB) through the mediation mechanism of employee work meaningfulness (EWM) and organisational identification (OID). Conclusion: This study contributes to the nascent literature by establishing that EWM and OID mediate the effect of CSR on OCB and PEB. Furthermore, this study utilizes two primary theoretical lenses and provides a novel contribution to the current literature. Finally, this study provides valuable insights to policymakers, businesses, and society.
Keywords: work-related attitudes, corporate social responsibility, employee work meaningfulness, organisational citizenship behaviour, pro-environmental behaviours
Published in DKUM: 08.10.2025; Views: 0; Downloads: 2
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4.
Improvisation as the foundation of flow in music education : connections to attitudes, gender and genre
Kaja Korošec, Blaženka Bačlija Sušić, Katarina Habe, 2022, original scientific article

Abstract: The aim of our study was to explore the connection between improvisation and flow. Data were collected from 252 tertiary music students from Slovenia and Croatia (121 male and 131 female musicians), who filled in The Questionnaire on Attitudes to Music Improvisation, The Inventory on Feelings associated with Music Improvisation, and the Work-related Flow Inventory. The results show that the female students have significantly more negative feelings and attitudes toward improvisation, and they experience less flow while improvising. Differences were even more pronounced when comparing students who only played classical music with those who played other genres, as well. Regression analysis showed that we can explain 71% of the variance in flow with attitudes toward improvisation.
Keywords: attitudes, flow, higher music education, improvisation, music students
Published in DKUM: 25.07.2025; Views: 0; Downloads: 6
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5.
The museum-school mentoring model and personalization of education
Tamara Kisovar-Ivanda, 2022, original scientific article

Abstract: Museums are certainly a potential source of excellent mentors for students at all levels of education. It is realistic to expect that a model of personalized learning with a complex system of mentoring, would yield positive results. The article deals with the attitudes of teachers, museum educators and curators on forms of mentoring in the process of personalizing education at the primary level in Croatian schools. Qualitative methodology (semistructured interviews) was used in the research. The results of the study indicate positive attitudes of teachers and museum educators/curators towards joint mentoring through networks across educational and cultural community institutions.
Keywords: personalization of education, joint museum-school mentoring of students, attitudes of teachers and museum experts
Published in DKUM: 24.07.2025; Views: 0; Downloads: 3
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6.
Perspectives and practices of early childhood educators on identifying mathematically talented children
Darja Antolin Drešar, 2025, independent scientific component part or a chapter in a monograph

Abstract: This study examines early childhood educators' perceptions and experiences in identifying mathematically gifted children, addressing a critical gap in early education research. Using a quantitative research design, data were collected through an online questionnaire completed by 47 educators. Findings reveal that educators generally believe mathematical talent can be identified in preschool and agree on the importance of differentiated teaching approaches. However, many reported limited confidence in their ability to identify such children. Educators with positive attitudes toward mathematics showed a stronger recognition of differentiated instruction and early numerical concept development as key indicators of giftedness. Additionally, more experienced educators rated early counting skills as a more significant indicator than their less experienced counterparts. Despite frequent observations of children's mathematical abilities, only 40.4% reported encountering mathematically gifted children. No significant differences were found in observation frequency or encounters based on teaching experience or attitudes toward mathematics.
Keywords: mathematical giftedness, early childhood education, early childhood educators, attitudes towards mathematics, work experiences
Published in DKUM: 02.07.2025; Views: 0; Downloads: 11
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7.
Public attitudes towards artificial intelligence : the impact of perceived threats, potential benefits vs. risks, and trust
Matjaž Iršič, Tomaž Gjergjek, 2024, original scientific article

Abstract: Understanding public attitudes toward artificial intelligence (AI) is crucial for shaping the responsible development and deployment of AI technologies, aligning them with public expectations, and addressing societal concerns and ethical considerations. The goal of this research was to gain a comprehensive understanding of how the public in general as well as customers in exchange process perceive AI and the factors that influence these perceptions. Our research problem based around researching the complex relationships between various aspects of AI, suchas perceived threats, societal benefits, trust in AI institutions, and overall attitudes toward AI. We laid the groundwork in the theoretical part by researching existing knowledge about theoretical foundations of attitudes, about AI, and the attitudes ofpublic towards AI. This theoretical background provided essential context for our research into public attitudes toward AI. In the empirical part, we conducted a detailed survey based on stratified sample of adult population of the Republic of Slovenia (n= 205-209) to gather data on how the public feels about AI. This involved asking participants about their views on AI as a potential threat, its societal benefits, the level of trust they have in institutions and companies responsible for AI, and their overall attitudes toward AI. In our study, we found that individuals who perceive AI as a potential threat to their jobs or privacy tend to hold more negative attitudes toward AI. Interestingly, our research revealed that whether people think AI is beneficial for society or poses risks does not have a strong impact on their overall views about AI. Equally surprising, our results suggest that trust in institutions and companies involved in AI development does not appear to be a major factor in shaping public attitudes toward AI. These findings offer a detailed perspective on how the public views AI. They carry significant implications for policymakers, businesses, and AI developers, highlighting the importance of responsible AI development. It is crucial to address personal concerns and work on building trust and confidence in AI technologies among the public.
Keywords: Digital Transformation, artificial intelligence, public attitudes, perceived threats, potential benefits vs. risks, trust
Published in DKUM: 02.07.2025; Views: 0; Downloads: 20
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8.
Exploring sustainable development perceptions among higher education students : an empirical study on knowledge, attitudes, and behaviours
Zlatko Nedelko, Susana Leal, João Nascimento, Andriani Piki, Adem Tekerek, Alper Güzel, Ana Loureiro, Catarina Gonçalves, Inês Messias, Joke Simons, Lorenz Teunen, Luís C. S. Barradas, Naomi Palmer, Tito Livio Mongelli, Sandra Oliveira, 2024, original scientific article

Abstract: Higher education institutions have a role to play in developing sustainability skills and changing students' attitudes and behaviour towards sustainability issues and the Sustainable Development Goals (SDGs). This article aims to explore the knowledge, attitudes and behaviours of higher education students towards sustainability and understand how these vary in line with gender, age, level of education, the field of study and familiarity with the SDGs. A questionnaire survey was carried out among higher education students. A sample of 716 students from different European countries and Türkiye was obtained. The results show that the relationship between students' knowledge of sustainability and their behaviour towards sustainability issues is partly mediated by their attitudes towards sustainability. The practical implications of this study are that it highlights the need to strengthen education on sustainable development and the SDGs in all areas and at all levels of higher education and to provide sound training in this field from the moment students enter higher education. Although knowledge and attitudes towards sustainability are well developed, higher education institutions must train students to change their behaviour.
Keywords: attitudes, behaviour, higher education, knowledge, students, sustainability, sustainable development goals (SDGs)
Published in DKUM: 27.06.2025; Views: 0; Downloads: 4
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9.
Elementary and middle school students' school attitudes and extracurricular activities
Hasan Şeker, 2020, original scientific article

Abstract: The study aims to determine elementary and middle school students' school attitudes. A school attitudes measurement tool was used in the study. The participants of the study comprised 410 students. The results of the current study show that willing participation in school activities affects school attitudes. The results also show that with increasing grade level, the rate of willing participation drops. It was also found that there is a significant correlation with participation in extracurricular activities. The school attitudes mean score of students willingly participating in extracurricular activities is significantly higher than that of students participating involuntarily.
Keywords: extracurricular activities, elementary school, middle school, school attitudes, student participation, willing participation
Published in DKUM: 26.06.2025; Views: 0; Downloads: 6
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10.
Students' attitudes towards didactic characteristics in graphic design classes
Martina Kač Nemanič, 2019, original scientific article

Abstract: Contemporary education enables the development of creative expression in students, while the role and significance of didactic approaches in secondary school have not yet been comprehensively studied. The article presents the results of research into students' attitudes towards didactic characteristics of Graphic Design classes in secondary school. We were interested in the attitude of 3rd-year students (17-18 years old) towards the characteristics of the subject Graphic Design, and their level of satisfaction with the use of teaching methods, learning techniques and didactic communication in Slovenian schools. The results show that little attention is paid to the concept of effective methodologies in practice. There is a need for a range of didactic approaches that would contribute to active, interesting, creative and dynamically based Graphic Design classes.
Keywords: graphic design, secondary school, didactic characteristics, students' attitudes, level of satisfaction
Published in DKUM: 18.06.2025; Views: 0; Downloads: 4
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