SCIDAR - A Digital Archive of the University of Kragujevac

Analysis of photogrammetry application possibilities for reverse engineering of components in the auto industry

Reverse engineering is a technique that has recently been used in all areas of industry. The application of reverse engineering in the auto industry occupies a very important place. 3D scanners are often used to digitize parts with fine details or large sheet metal, and they can be very expensive. In this paper, the possibility of using photogrammetry for reverse engineering of components in the auto industry will be analyzed. Digitization of the automotive component will be done in two...

Influencer Marketing, Cultural Sensitivity, and Artificial Intelligence as Determinants of Green-Food Product Purchase: the Moderating Role of Legal Norm Compliance

Sustainable consumption and the transition toward green products, particularly in the agri-food sector, represent important challenges for contemporary agricultural economics. This study examines the influence of influencer marketing, cultural sensitivity, and artificial intelligence on consumers’ purchase intentions toward green products, with compliance with legal norms as a moderating factor. The research was conducted in the Republic of Serbia using a survey-based methodology on a sample ...

Business Digitization in Western Balkan Countries: Trends, Gaps and Convergence with the EU

Digitization is one of the essential factor for economy prosperity in modern world. Increasingly rapid changes in technology contribute to the fact that digitization is becoming a condition for achieving better position on market for both companies and national economies. Digitization consists of the application of various technologies in everyday business. This is especially challenging for developing countries, including the countries of the Western Balkans. Paper analyses the level of busi...

Pre-2020 Trends of AI Adoption and Comparative Advantage in European Countries

Rapid advances in technology, especially AI applications, have contributed to economic transformation at both the microeconomic and macroeconomic levels. Given its substantial potential, AI adoption can become an important source of a country’s comparative advantage. This study examines whether European countries achieved a comparative advantage derived from AI applications during the period 2014–2019. Comparative advantage is assessed using the RSCA index, where positive values indicate its ...

Машина за намотевање различитих пластичних филамената који се користе у 3Д штампи, базирана на принципу "отвореног кода"

Gender, Difficulty and Domain: Analyzing Student Performance in the Mathematical Kangaroo Competition

One of the main aims of mathematics education has long been to make mathematics more accessible to students, present it as engaging and intriguing, and challenge the misconception that it consists solely of rules to be memorized. The Mathematical Kangaroo Competition directly serves this purpose: as the largest mathematics competition worldwide, it fosters a deep appreciation for mathematics among students, teachers, and the wider community, while encouraging logical thinking from an early ag...

What Do Students in the Republic of Serbia Think About the Use of Generative AI Tools in Mathematics Teaching and Learning?

Generative Artificial Intelligence (GenAI) tools and their pedagogical applications in mathematics have become the focal point of extensive contemporary research. In the Republic of Serbia, students are increasingly using these technologies to support their learning processes, including problem-solving, exam preparation, and homework assistance. Consequently, this study aimed to investigate students’ perceptions regarding the use of GenAI tools in mathematics instruction and learning. To ana...

From image to decision: developing a mobile AI application as a model of interdisciplinary learning

This paper presents a model of interdisciplinary learning based on the development of a mobile AI application for image classification. The proposed approach connects several interdependent layers of an AI system, including image classification as an introduction to the basic concepts of computer vision, the use of both a pre-trained and a custom model, a Python backend as an intermediary communication layer, and a mobile application developed in the MIT App Inventor environment. Particular ...

Application of logistic regression in predicting students’ choice of STEM and non-STEM tracks

This paper examines the possibility of predicting students’ choice of STEM and non-STEM tracks in grammar school by applying logistic regression to data collected through a questionnaire-based survey. The analysis was conducted on a dataset comprising 1044 students from four grammar schools in Kragujevac and Novi Sad. The target variable was defined as a binary classification of students into STEM and non-STEM track groups, while the input features included socio-demographic data, data on aca...