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1.
In the search for the ideal mentor by applying the "Mentoring for effective teaching practice instrument"
Mateja Ploj Virtič, Andre Du Plessis, Andrej Šorgo, 2023, original scientific article

Abstract: The study aims to explore and analyse the perceived experiences of Slovenian pre-service teachers with their mentors during their teaching practicum, by using the "Mentoring for effective teaching practice instrument (METPI)". Conclusions were based on 105 responses using paper and pencil, collected from Slovenian preservice teachers in their 4th year of study. The initial set of 62 items was shortened to 36 items for inclusion in the models. From two concurrent SEM models, it was concluded that students found their experiences related to Hudson's five-factor model, consisting of personal attributes of their mentor, modelling, pedagogical knowledge, system requirements and feedback, to be satisfactory, while their experience pertaining to Information and Communication Technology as a new, additional factor with reference to their mentor, was unsatisfactory. Several recommendations are made related to the dimensions, especially pertaining to Information and Communication Technology (ICT) tools.
Keywords: ICT, mentoring pre-service teachers, METPI, teacher professional knowledge, teaching practicum
Published in DKUM: 15.04.2024; Views: 87; Downloads: 2
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2.
Understanding, trusting, and applying scientific insights to improve your health : a latent profile analysis approach
Nejc Plohl, Bojan Musil, 2022, original scientific article

Abstract: Various leading causes of death can be prevented or delayed through informed decision-making and lifestyle changes. Previous work has, to some extent, linked such health-promoting behavior (HPB) with variables capturing individuals’ understanding of science, trust in science, and capacity to apply evidence-based information in the health context. However, empirical research on the relationship between scientific knowledge, trust in science, health literacy, and HPB is scarce. Additionally, no study has investigated whether these characteristics interact to form homogeneous, high-risk subgroups of the population. The present online study (N = 705) revealed that trust in science and health literacy were positively related to a wide array of HPBs (e. g., healthy nutrition, physical activity, stress management), while scientific knowledge was only positively associated with COVID-19 vaccination intention. Furthermore, the results of latent profile analyses yielded four subgroups (i. e., low, moderate, and high levels of all three variables and a varied profile exhibiting very low trust in science, low health literacy, and moderate scientific knowledge). The identified subgroups differ significantly in HPB and variables determining profile membership (e. g., political conservatism). Hence, the present study offers some guidance on which groups may be targeted with public health campaigns and how they may be designed.
Keywords: scientific knowledge, trust in science, health literacy, health behaviour, COVID-19
Published in DKUM: 12.04.2024; Views: 72; Downloads: 6
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3.
43rd International Conference on Organizational Science Development: Green and Digital Transition – Challenge or Opportunity : Conference Proceedings
2024, proceedings of peer-reviewed scientific conference contributions (international and foreign conferences)

Abstract: The 43rd International Scientific Conference on the Development of Organisational Science was held in Portorož from the 20th to the 22nd of March 2024. The main aim of the conference was to promote the importance of knowledge in the context of green and digital transtition of organizations, through academic and scientific debates and professional developments from the economic and non-economic worlds. The conference, which was held under the umbrella title " Green and Digital Transition - Challenge or Opportunity", aimed to highlight the importance of the green and digital transition for the successful achievement of organisational objectives and the appropriate overcoming of societal challenges. The objectives pursued in this context are related to the natural dimensions on the one hand, and to stimulating the economy through green technology, sustainable development and pollution reduction on the other. The green and digital transition is also an opportunity for organisations to make changes towards overarching environmental challenges. It is undoubtedly more important than ever to take decisions that generate synergies between innovation, different sciences, and applied approaches, and to promote changes in business models that will lead to a sustainable and socially responsible development environment. In Portorož, we have reconnected opinions, views, and scientific and professional debates that will stimulate all of us to act in the future, both in organizations and in society at large.
Keywords: organization, knowledge, interdisciplinarity, science, economy
Published in DKUM: 22.03.2024; Views: 178; Downloads: 23
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4.
CNN-Based Vessel Meeting Knowledge Discovery From AIS Vessel Trajectories
Peng Chen, Shuang Liu, Niko Lukač, 2023, original scientific article

Abstract: How to extract a collection of trajectories for different vessels from the raw AIS data to discover vessel meeting knowledge is a heavily studied focus. Here, the AIS database is created based on the raw AIS data after parsing, noise reduction and dynamic Ramer-Douglas-Peucker compression. Potential encountering trajectory pairs will be recorded based on the candidate meeting vessel searching algorithm. To ensure consistent features extracted from the trajectories in the same time period, time alignment is also adopted. With statistical analysis of vessel trajectories, sailing segment labels will be added to the input feature. All motion features and sailing segment labels are combined as input to one trajectory similarity matching method based on convolutional neural network to recognize crossing, overtaking or head-on situations for each potential encountering vessel pair, which may lead to collision if false actions are adopted. Experiments on AIS data show that our method is effective in classifying vessel encounter situations to provide decision support for collision avoidance.
Keywords: AIS Data, CNN, Dynamic Rammer-Douglas-Peucker, knowledge discovery, maneuvering pattern, traffic pattern, trajectory
Published in DKUM: 19.03.2024; Views: 102; Downloads: 3
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5.
Assessment of environmental sustainability integration into higher education for future experts and leaders
Matevž Obrecht, Zane Feodorova, Maja Rosi, 2022, original scientific article

Abstract: The environmental and climate crisis is gaining priority among critical human concerns; therefore, environmental knowledge and sustainable solutions play a significant role and gaining global popularity as an academic discipline. Additionally, United Nations Sustainable Development Goal no. 4 acknowledges education's role in promoting sustainable development, sustainable lifestyles, human rights, social responsibility, circular economy, and greening our economy and society. In this paper new conceptual framework that focuses on systematically analyzing environmental sustainability integration in study programs and subjects is developed. The main aim is to reflect the conceptual basis of education related to environmental sustainability topics such as sustainable development, social responsibility, circular economy, ecology, environmental protection, and greening to boost future environmental management practices in industry and services. Defining the level of integration of environmental and sustainability-related topics is divided by research field classification and study cycles (BSc, MSc, PhD). The specific added value of the developed conceptual framework is reflected by defining cross-sections and inter-and trans-disciplinary of sustainability topics integrated within specific programs and subjects. The conceptual framework was tested by assessing 1051 programs in progress in Slovenia. It was revealed that the highest share of study programs has an intermediate level of environmental sustainability with 2–3 subjects (392 study programs). These are represented mainly by integrating environmental protection, ecology, and “greening” but less with circular economy and social responsibility. Significant differences among specific study programs and study fields reflect that young intellectuals will not be equally educated and qualified for future managerial challenges. Master students gain the best insight into core sustainability and environmental topics needed for future environmental managers.
Keywords: higher education institution, environmental sustainability, educating environmental expert, managing knowledge supply, environmental competence
Published in DKUM: 19.02.2024; Views: 114; Downloads: 12
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6.
Knowledge Graph Completion with Triple Structure and Text Representation
Shuang Liu, Yufeng Qin, Man Xu, Simon Kolmanič, 2023, original scientific article

Abstract: Knowledge Graphs (KGs) describe objective facts in the form of RDF triples, each triple contains sufficient semantic information and triple structure information. Knowledge Graph Completion (KGC) is to acquire new knowledge by predicting hidden relationships between entities and adding the new knowledge to the KG. At present, the mainstream KGC approaches only applied the triple structure information or only utilized the semantic information of the text. This paper proposes an approach (TSTR) using BERT and deep neural networks to fully extract the semantic information of knowledge, and designs an aggregated re-ranking scheme that incorporates existing graph embedding approach to learn the structural information of triples. In experiments, the approach achieves state-of-the-art performance on three benchmark datasets, and outperforms recent KGC approaches on sparsely connected datasets.
Keywords: knowledge graph completion, BERT, deep convolutional architecture, re-ranking
Published in DKUM: 19.02.2024; Views: 99; Downloads: 8
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7.
How much sustainable knowledge will soon-to-be experts in Slovenia have? : findings of higher education study programs’ analysis
Matevž Obrecht, Lazar Pavić, 2023, published scientific conference contribution

Abstract: Environmental topics are gaining more and more important both in the European Union and in Slovenia in the last decade. Climate changes (floods, droughts, and heat waves), pollution (soil, water, and air), management of invasive species, noise pollution, food self-sufficiency, sustainable development in the field of tourism, etc. are particularly present both in Slovenian Eastern and Western cohesion region. However, the level of knowledge about environmental challenges and competences of current experts and leaders to effectively manage and deal with them is perceived to be too low. The paper examines the inclusion of sustainable competences, knowledge, and skills in higher education programs in Slovenia to predict the level of sustainable knowledge. Slovenian soon-to-be professionals will be empowered by the Slovenian higher education system (Daneshjoo et al., 2020). Analysis included the content of 956 higher education study programs on the individual course level. In the next phase, a comprehensive comparative analysis of the situation in the areas of higher education and environmental education was performed. The factors based on which comparison was made are field of study, type of institution, level of study and number of subjects in the program that include some sustainable content. Non-parametric tests were used to determine statistically significant differences are the Mann-Whitney U test and the Kruskal-Wallis H test.
Keywords: sustainable development, sustainable knowledge, higher education, sustainable competences, higher education study programs
Published in DKUM: 12.01.2024; Views: 202; Downloads: 12
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8.
The impact of serious games in economic and business education: a case of ERP business simulation
Tina Beranič, Marjan Heričko, 2022, original scientific article

Abstract: Digitalisation nowadays impacts business environments significantly. Therefore, if higher education wants to educate students properly for a successful career path, the business and economics curriculum must be enriched with innovative teaching approaches covering actual topics, such as, for example, the implementation of the ERPsim business simulation, a representative of serious games. The ERPsim business simulation is based on SAP ERP, and is aimed at teaching ERP concepts. It covers different business processes, and allows students to learn using a hands-on approach, simulating real-life scenarios. The presented research focuses on using an ERPsim business simulation as the introduction to the course. The simulation was implemented to ease the introduction of ERP and IT concepts to the business and economic oriented students. Considering the positive effects of serious games and gamification, our research was formed and focused on knowledge acquisition and future student engagement. We researched whether participation in the introductory simulation results in significant knowledge gain and impacts students’ future course engagement. The data were gathered using a self-assessment questionnaire before and after an introductory simulation. The results were highly positive, confirming many positive aspects of business simulation, among others, significant knowledge increase in the domains of business process and ERP transactions, and in the domain of technical knowledge for SAP ERP. The results confirmed that the introductory simulation is appropriate for introducing ERP concepts to newcomers, and, nevertheless, confirmed the positive impact on their intent on future course engagement.
Keywords: business simulation, knowledge acquisition, course engagement, ERPsim, SAP, gamification
Published in DKUM: 17.08.2023; Views: 311; Downloads: 32
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9.
Quo vadis business simulation games in the 21st century?
Mirjana Pejić Bach, Tamara Ćurlin, Ana-Marija Stjepić, Maja Meško, 2023, review article

Abstract: Business simulation games have become popular in higher education and business environments. The paper aims to identify the primary research trends and topics of business simulation games research using a systematic and automated literature review with the motivation of research (learning driven and domain driven). Based on these findings, the future development of business simulation games research projected papers that research business simulation games were extracted from Scopus. Second, the research timeline, main publication venues and citation trends have been analysed. Third, the most frequent words, phrases, and topics were extracted using text mining. Results indicate that the research on business simulation games has stagnated, with the most cited papers published in the 2000s. There is a balance between learning-driven and domain driven-research, while technology-driven research is scarce, indicating that the technology used for business simulation games is mature. We project that the research on business simulation games needs to be directed in the area of new technologies that could improve communication with and among the users (virtual reality, augmented reality, simulation games) and technologies that could improve the reasoning and decision-making complexity in business simulation games (artificial intelligence).
Keywords: simulation games, digital education, knowledge management, business games
Published in DKUM: 02.08.2023; Views: 486; Downloads: 27
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10.
Proceedings of the 33rd International Conference on Information Modelling and Knowledge Bases EJC 2023
2023

Abstract: The proceedings of the thirty-third conference EJC 2023 combine the experience and knowledge of the experts working and different research fields of Information modelling, Conceptual modelling, Knowledge and information modelling and discovery, Linguistic modelling, Cross-cultural communication and social computing, Environmental modelling and engineering, and Multimedia data modelling and systems.
Keywords: conceptual modelling, knowledge modelling, information modelling, linguistic modelling, cross-cultural communication, social computing, environmental modelling, multimedia data modelling
Published in DKUM: 02.06.2023; Views: 869; Downloads: 20
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