Iskanje po katalogu digitalne knjižnice

Opis: The article presents the findings of a study aimed at determining whether teachers’ personal interests and other factors influence the implementation of teaching and learning outside the classroom in early social studies within primary education. A convergent mixed-method research design was employed. The results indicate that, in practice, teaching and learning outside the classroom in early social studies is implemented less frequently than would be expected based on the didactic guidelines for early social studies instruction. Most teachers conduct such lessons only once a month or less. Teachers’ personal interests emerged as a significant factor influencing the frequency of teaching and learning outside the classroom.
Ključne besede: primary education, social studies, experiential learning, teaching and Learning outside the classroom, convergent mixed methods approach
Objavljeno v DKUM: 17.11.2025; Ogledov: 0; Prenosov: 0
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Opis: A school for the 21st century requires innovative approaches to learning and teaching. The presented research investigates the current state of innovative teaching methods, particularly problem-based learning (PBL), among teachers of the subject Technology and Engineering (TE) in Slovenian lower secondary schools. The main aim of the research was to determine the attitude towards such innovative teaching approaches, how often innovative teaching methods are used, how teachers perceive their importance, and finally, according to the teachers, how they are qualified for this. In the research, an appropriate questionnaire for teachers is developed. Qualitative and quantitative research was conducted using an online survey and statistical data processing. The online survey results showed that teachers positively assess the importance of using PBL, which is perceived as a more challenging method than traditional teaching methods. Despite numerous challenges, teachers express high motivation to improve their teaching practices. Based on the data obtained, it is found that teachers' knowledge is assessed less positively than their competence assessment, which indicates the need for more accurate methods of evaluating knowledge and emphasizes the importance of continuous professional development. The research findings could be important for improving teaching practices and promoting innovations in the educational process. High motivation and readiness of teachers to accept innovative pedagogical approaches can contribute to a better learning environment and the development of a more competent teacher in the future.
Ključne besede: continuous professional development, innovative teaching methods, problem-based learning, student motivation, teacher competence, technology and engineering
Objavljeno v DKUM: 15.09.2025; Ogledov: 0; Prenosov: 4
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Opis: Purpose of the article–this article addresses the challenge of accurately assessing business value in today's dynamic environment, exploring the limitations of traditional valuation methods and the potential of modern, technology-driven approaches.Research methodology–the study uses qualitative research methods, including content analysis, deductive reasoning, and comparative analysis, to review various business valuation techniques.Findings –the research finds that traditional methods like Discounted Cash Flow and Relative Valuation are outdated, failing to capture all value factors. Modern approaches, such as simulation-based valuation, machine learning, and neural networks, combine traditional methods with advanced techniques. These methodologies utilize vast datasets and sophisticated algorithms, enhancing predictive accuracy and understanding of market dynamics. Neural networks excel in analysing complex patterns and adapting to market shifts. However, no single method can capture all nuances, necessitating diverse approaches and acknowledging the subjective nature of valuations
Ključne besede: business valuation, traditional and advanced valuation methods, machine learning, neural networks, artificial intelligence
Objavljeno v DKUM: 01.07.2025; Ogledov: 0; Prenosov: 9
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Opis: The author of the first paper explores how students perceive various types of active learning techniques. The second paper identifies the teaching methods that are accepted by Generation Y students. The author of the third paper addresses the characteristics of contemporary students and their implications for teaching strategies. The fourth paper explores the effects of interdisciplinary problem-based learning on the development of students' knowledge, skills, and competences. Gamification as a teaching strategy is discussed in the fifth paper. The sixth paper addresses the challenge of merging disciplines of entrepreneurship and finance in one study program. The approaches to increasing students’ focus in learning finance-related subjects are discussed in the seventh paper. In the eighth paper authors expose the value of practical higher education as a response to the perceived phenomena of financial illiteracy and financial exclusion. The role of research results transfer into university teaching of transport economics discusses the author of the ninth paper. The authors of tenth paper explore the relevance of mastering Spanish for students of economics and business disciplines. The last paper discusses the authors' experiences with e-learning in higher education from the perspective of its extent and importance.
Ključne besede: higher education, economics, business sciences, teaching methods, teaching strategies, active learning techniques, Generation Y, problem-based learning, practical higher education, e-learning
Objavljeno v DKUM: 02.06.2020; Ogledov: 1444; Prenosov: 51
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Opis: A central element in organization of financal means by a person, a company or societal group consists in the constitution, analysis and optimization of portfolios. This requests the time-depending modeling of processes. Likewise many processes in nature, technology and economy, financial processes suffer from stochastic fluctuations. Therefore, we consider stochastic differential equations (Kloeden, Platen and Schurz, 1994) since in reality, especially, in the financial sector, many processes are affected with noise. As a drawback, these equations are hard to represent by a computer and hard to resolve. In our paper, we express them in simplified manner of approximation by both a discretization and additive models based on splines. Our parameter estimation refers to the linearly involved spline coefficients as prepared in (Taylan and Weber, 2007) and the partially nonlinearly involved probabilistic parameters. We construct a penalized residual sum of square for this model and face occuring nonlinearities by Gauss-Newton's and Levenberg-Marquardt's method on determining the iteration step. We also investigate when the related minimization program can be written as a Tikhonov regularization problem (sometimes called ridge regression), and we treat it using continuous optimization techniques. In particular, we prepare access to the elegant framework of conic quadratic programming. These convex optimation problems are very well-structured, herewith resembling linear programs and, hence, permitting the use of interior point methods (Nesterov and Nemirovskii, 1993).
Ključne besede: stochastic differential equations, regression, statistical learning, parameter estimation, splines, Gauss-Newton method, Levenberg-Marquardt's method, smoothing, stability, penalty methods, Tikhonov regularization, continuous optimization, conic quadratic programming
Objavljeno v DKUM: 10.01.2018; Ogledov: 1436; Prenosov: 155
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