1. Factors influencing mathematics achievement of university students of social sciencesAlenka Brezavšček, Janja Jerebic, Gregor Rus, Anja Žnidaršič, 2020, original scientific article Abstract: The paper aims to investigate the main factors influencing the mathematics achievement of social sciences university students in Slovenia. A conceptual model was derived where three categories of variables were taken into account: attitude towards mathematics and math anxiety, engagement in learning activities, and attitude towards involving technology in learning mathematics. Data were collected for seven consecutive academic years and analysed using Structural Equation Modelling (SEM). The results showed a very high coefficient of determination for mathematics achievement (0.801), indicating that variables “Perceived Level of Math Anxiety”, “Self-Engagement in Mathematics Course at University”, and “Perceived Usefulness of Technology in Learning Mathematics”, together, explain 80.1% of the total variance. Based on our findings, we can conclude that teaching in secondary school is a crucial determinant for success in mathematics at university. It is essential to identify the best methods for secondary school math teachers which will help them give future students better entry-level knowledge for universities. These methods will, hopefully, also improve the level of mathematics self-confidence, as well as lower the level of math anxiety, which all considerably affect the performance of students in university mathematics.
Keywords: mathematical education, good practices in mathematics, mathematics achievement, education, influencing factors, university, social sciences, structural equation modelling (SEM)
Published in DKUM: 14.01.2025; Views: 0; Downloads: 5
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3. Has the COVID-19 pandemic affected mathematics achievement? : a case study of university students in social sciencesAnja Žnidaršič, Alenka Brezavšček, Gregor Rus, Janja Jerebic, 2022, original scientific article Abstract: This study examines the effects of COVID-19-related measures on the mathematics achievement of university students in social sciences in Slovenia. Our particular concern was to compare two student populations (pre-pandemic and pandemic) in terms of factors affecting student performance in mathematics courses. Data were collected over nine consecutive academic years (from 2013–2014 to 2020–2021) and analyzed using two-stage structural equation modelling (SEM). The analyses confirmed that the conceptual model developed before the pandemic was applicable during the pandemic period. For both populations (pre-pandemic and pandemic), mathematics confidence, perceived level of math anxiety, background knowledge from secondary school, and self-engagement in mathematics courses at university were confirmed as factors influencing mathematics achievement. Moreover, both populations perceived the effects of the factors in the same way, and the magnitude of the effects is comparable. The rather high values of determination coefficient for mathematics achievement (greater than 0.66 for both student populations) indicate that the variables “Perceived Level of Math Anxiety” and “Self-Engagement in Mathematics Course at University” together explain a significant proportion of the total variance before and during the pandemic. Consequently, the results of our case study indicated that pandemic measures did not have a significant impact on our students’ mathematics achievement. Although a more in-depth study of a broader sample of academic courses would be needed to confirm our findings, our experience indicates that mathematics courses at the tertiary level of education can be successfully delivered online.
Keywords: COVID-19, mathematics achievement, university students, social sciences, pre-pandemic population, pandemic population, comparison, multi-group structural equation modeling (MG-SEM)
Published in DKUM: 09.07.2024; Views: 112; Downloads: 11
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4. Do visual constructs in social science textbooks evince gender stereotypes and bias? : a case study from IndiaSuzana Košir, Radhika Lakshminarayanan, 2023, original scientific article Abstract: India presents a heterogeneous socio-economic ethos, rooted within structures of patriarchy and caste, rendering any transformation of traditional gender roles, increasingly challenging. Gender socialisation begins in childhood and is assimilated through schools. Students imbibe gender concepts through textbooks and classroom experiences, which either reinforce their social perceptions or influence them to critique inequalities and bias. Adopting a multi-pronged approach through feminist critical discourse analysis (FCDA) and content analysis, this research evaluates the images used in Indian school social science textbooks, for constructs of gender representation, structures, and stereotyping. The research reveals that gender structures depicted in textbooks foster patriarchy and gender bias. There is minimal effort to depict feminist activism and little scope to foster gender reflexivity and social debate, which only sustains stereotypical perceptions of gender roles within Indian society.
Keywords: gender stereotypes, gender socialisation, images in textbooks, gender bias, social sciences
Published in DKUM: 17.05.2024; Views: 123; Downloads: 34
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5. Teaching social sciences in ECE : exploring correlations with creativity and algorithmic thinkingMarta Licardo, 2023, independent scientific component part or a chapter in a monograph Abstract: Teaching social sciences in early childhood education context is demanding and little research has been done related to competences that support the high-quality teaching in social studies. The purpose of this study is to examine specific concepts to better understand possible implications of these concepts in teaching social sciences in early childhood education. Future teachers, students of preschool education (N=31), reported the highest mean values for teamwork, following social sciences teaching skills, creative self-assessment, and algorithmic thinking teaching skills. Students feel most competent in teaching life skills and slightly less competent in teaching social studies, presumably of its complexity. The analysis of correlations between all four concepts revealed that students who report higher creativity, report higher teamwork skills and higher algorithmic thinking teaching skills. The results are important for supporting the students in creativity during their undergraduate study and in learning how to teach social sciences in early childhood education.
Keywords: social sciences, early childhood education, algorithmic thinking, teamwork, creativity
Published in DKUM: 09.05.2024; Views: 194; Downloads: 5
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6. International Scientific Conference "Learning to Live and Work Together" : Book of Abstracts, June 10th, 2021, Slovenia2021, proceedings Abstract: University of Maribor Faculty of Health Sciences is organizing the Online International Scientific Conference »LEARNING to Live and Work Together«, held on June 29th 2021. E-proceedings of the conference include most recent findings of domestic and foreign researchers and students in higher education, social work, nursing and health sciences. The conference aims to explore the quality of life for migrant students, transformative action in higher education, advances in nursing research and education as well as advanced nursing practice experience in Slovenian and international arena. It provides an opportunity to promote the development, dissemination and use of knowledge in the field of social work, nursing and health sciences for educators and health practitioners, furthermore they exchange research evidence, models of best practice and innovative ideas.
Keywords: higher education, social work, nursing, health sciences, conference, research
Published in DKUM: 08.10.2021; Views: 1166; Downloads: 136
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