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1.
Advanced tools for education : ChatGPT-based learning preparations
Dejan Zemljak, 2023, original scientific article

Abstract: Artificial intelligence (AI) is increasingly permeating our daily lives, and the field of education is no exception. Technology already plays a significant role in education, and AI is rapidly advancing. Chatbots, for instance, have been used as a valuable tool in schools for decades. With the emergence of tools like ChatGPT, their usage has expanded even further. The presence of such tools can be highly beneficial for teachers in the educational setting. The study focused on the fact that ChatGPT can serve as an excellent support for teachers in lesson planning. The usefulness of the tool and the challenges that teachers may encounter when using it to create lesson plans were explored. The results of the study, based on the analysis of 58 lesson plans created using ChatGPT, revealed certain limitations. Therefore, it is crucial to empower teachers to make prudent use of this tool.
Keywords: artificial intelligence, learning preparation, technology and engineering, natural science
Published in DKUM: 10.12.2024; Views: 0; Downloads: 2
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2.
Cross-sectional personal network analysis of adult smoking in rural areas
Bianca-Elena Mihǎilǎ, Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, Iulian Oană, Marius Geanta, José Luis Molina González, Cosmina Cioroboiu, 2024, original scientific article

Abstract: Research on smoking behaviour has primarily focused on adolescents, with less attention given to middle-aged and older adults in rural settings. This study examines the influence of personal networks and sociodemographic factors on smoking behaviour in a rural Romanian community. We analysed data from 76 participants, collected through face-to-face interviews, including smoking status (non-smokers, current and former smokers), social ties and demographic details. Multilevel regression models were used to predict smoking status. The results indicate that social networks are essential in shaping smoking habits. Current smokers were more likely to have smoking family members, reinforcing smoking within familial networks, while non-smokers were typically embedded in non-smoking environments. Gender and age patterns show that women were less likely to smoke, and older adults were more likely to have quit smoking. These findings suggest that targeted interventions should focus not only on individuals but also on their social networks. In rural areas, family-based approaches may be particularly effective due to the strong influence of familial ties. Additionally, encouraging connections with non-smokers and former smokers could help disrupt smoking clusters, supporting smoking cessation efforts.
Keywords: network science, human behaviour, data science, smoking, social physics
Published in DKUM: 03.12.2024; Views: 0; Downloads: 0
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3.
The role of teacher education in the science literacy development
Eva Klemenčič, Mateja Ploj Virtič, Janja Majer Kovačič, 2023, original scientific article

Abstract: One of the aims of education is to produce wise and responsible citizens who are aware of their impact on the environment and can address and solve daily life problems. From this point of view, science education leading to science literacy is helpful for all students, regardless of their future careers. In this paper, we first review the definitions of science literacy in the literature and present the strategies for its development. In Slovenia, we refer to the ongoing national project NA-MA POTI. Most of the strategies studied focus on primary and secondary schools. However, for the development of science literacy in primary and secondary education, teachers themselves must achieve a sufficient level of science literacy. The research was conducted with a small group of prospective teachers, focusing on three components of science literacy: asking research questions, making hypotheses, and designing an experiment. In addition, we analysed the curricula of the science didactics courses in the teacher education program. The findings show a great need for a systematic change in the curricula. Finally, proposals and ideas for improving the curricula for the didactics of science and the syllabus of the Subject teacher study program are presented.
Keywords: science literacy, teacher education, didactics of science, didactics of technics & technology, curricula
Published in DKUM: 02.12.2024; Views: 0; Downloads: 1
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4.
The role of computerized laboratory exercises in development of key competences
Andrej Šorgo, Vida Lang, 2023, published scientific conference contribution

Abstract: Over the past 20 years, the first author and numerous collaborators have attempted to introduce computer-based laboratory exercises in science, particularly in biology classes. While working with secondary and post-secondary students, it was realised that it was possible to simultaneously develop cross-cutting competencies that bridged several key competences of the European framework of eight key competences for lifelong learning. These were (a) Collecting, analysing, and organising information; (b) Communication of ideas; (c) Planning and organising activities; (d) Working with others in teams; (e) The use of mathematical ideas and techniques; (f) Problem solving; and (g) The use of technology. When inquiry and problem-solving strategies are used, student achievement is much higher compared to explanatory and expository labs.
Keywords: biology education, computer based laboratory, key competences, laboratory work, science education
Published in DKUM: 25.09.2024; Views: 0; Downloads: 1
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5.
Abstracts of the 10th Student Computing Research Symposium (SCORES’24)
2024, proceedings

Abstract: The 2024 Student Computing Research Symposium (SCORES 2024), organized by the Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI) in collaboration with the University of Ljubljana and the University of Primorska, showcases innovative student research in computer science. This year’s symposium highlights advancements in fields such as artificial intelligence, data science, machine learning algorithms, computational problem-solving, and healthcare data analysis. The primary goal of SCORES 2024 is to provide a platform for students to present their research, fostering early engagement in academic inquiry. Beyond research presentations, the symposium seeks to create an environment where students from different institutions can meet, exchange ideas, and build lasting connections. It aims to cultivate friendships and future research collaborations among emerging scholars. Additionally, the conference offers an opportunity for students to interact with senior researchers from institutions beyond their own, promoting mentorship and broader academic networking.
Keywords: student conference, computer and information science, artificial intelligence, data science, data mining
Published in DKUM: 18.09.2024; Views: 0; Downloads: 22
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7.
International Exhibition by Artists – University Teachers, Maribor, Slovenia, October 4th-14th, 2024
2024

Abstract: In the framework of the INTERNATIONAL SCIENTIFIC AND ART CONFERENCE: Rethinking childhood III - Teaching for an inclusive, technologically competent and sustainable society (2024) a catalog of the exhibition was published. The catalog features reproductions of artworks by artists employed at various higher education institutions in Slovenia and abroad. The accompanying text titled ART AND SCIENCE: PARALLEL LINES, PROPAGATION, INTERWEAVING (For the exhibition "Play of Perspectives, Strategies, and Decisions") was prepared by Mojca Puncer, PhD.
Keywords: art and science, visual art, exhibition catalog, artworks, higher education teachers and collaborators
Published in DKUM: 13.09.2024; Views: 27; Downloads: 3
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8.
Digital twins in sport : concepts, taxonomies, challenges and practical potentials
Tilen Hliš, Iztok Fister, Iztok Fister, 2024, review article

Abstract: Digital twins belong to ten of the strategic technology trends according to the Gartner list from 2019, and have encountered a big expansion, especially with the introduction of Industry 4.0. Sport, on the other hand, has become a constant companion of the modern human suffering a lack of a healthy way of life. The application of digital twins in sport has brought dramatic changes not only in the domain of sport training, but also in managing athletes during competitions, searching for strategical solutions before and tactical solutions during the games by coaches. In this paper, the domain of digital twins in sport is reviewed based on papers which have emerged in this area. At first, the concept of a digital twin is discussed in general. Then, taxonomies of digital twins are appointed. According to these taxonomies, the collection of relevant papers is analyzed, and some real examples of digital twins are exposed. The review finishes with a discussion about how the digital twins affect changes in the modern sport disciplines, and what challenges and opportunities await the digital twins in the future.
Keywords: artificial intelligence, digital twin, machine learning, optimization, sports, sport science
Published in DKUM: 04.09.2024; Views: 53; Downloads: 9
.pdf Full text (4,08 MB)

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