Periodica Polytechnica (Budapest University of Technology and Economics)
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Erasmus projektek a Nemzeti Szakképzési és Felnőttképzési Hivatalban
No full text2015 óta a Nemzeti Szakképzési és Felnőttképzési Hivatal nemzeti koordinációs feladatokat lát elszakképzés-fejlesztés, a pályaorientációs tanácsadás, és felnőttkori tanulás terén, illetve 2005 ótahozzájárul a hazai szakképesítések külföldi elismertetéséhez. A feladatok az Erasmus+ európai oktatásés képzés támogatására irányuló uniós programjainak keretében valósulnak meg. A 2021–2027-esprogramozási időszak nagy hangsúlyt fektet a társadalmi befogadásra, a zöld és digitális átállásra,valamint a fiatalok támogatására
Influences on teacher trainers’ lifelong learning competencies
No full textThe purpose of this paper was to explore teacher trainers’ perceptions of lifelong learning competences as well as the impacts of new learning communities and learning strategies on their competences. Semistructured interviews were conducted with 12 teacher trainers in education degree colleges in Myanmar selected by purposive sampling. According to the findings, they perceived lifelong learning as a learning to keep update with the contemporary things. They generally reported high confidence in their competences related to learning to learn, literacy, multilingualism, and digitalism; they reported less competences with science and math as well as entrepreneurialism and multilingualism. The teacher trainers reported both positive and negative effects of new learning communities on their lifelong learning competencies, particularly in the areas of digital and multilingualism competences. In response, most participants used self-regulated learning strategies to gain teaching competences, which then influenced their lifelong learning capacities.
Students’ perception of labor market success in vocational education and training
No full textThis study explores how vocational students in Europe define professional success. Success, as defined by Seligman (2002), involves satisfaction with one's current situation based on personal capabilities. We analyzed survey data from over 10,000 final-year vocational students to understand their perspectives on subjective (e.g. enjoyment) and objective e.g. (salary) aspects of success. Results show students prioritize objective factors (average score: 2.31) like financial security over subjective factors (average score: 1.69) such as work satisfaction. Prior work experience doesn't affect students' perception of objective success but increases the focus on subjective success. Interestingly, students with at least one college-educated parent value subjective success more, although the impact is small. These findings provide valuable insights for educational institutions to support students' career aspirations. By acknowledging the importance of both objective and subjective goals, vocational training can contribute to individual success and broader social and economic development
Kisiskolák kapcsolat a település műveltségi szintjével és a közösségi élettel
No full textPedagógusként és település vezetőként is mindig is kíváncsi voltam arra, hogy egy kistelepülésen élők mit gondolnak a helyi iskola teljesítményéről. Vajon érzik-e, hogy a települési intézmény munkája visszatükröződik a lakosok műveltségén, a falu közösségi életén? 2023-ban közoktatási vezetői végzettséget szereztem, ahol a dolgozatomban sikerült ezzel a témával kapcsolatos első lépéseimet megtennem. A vizsgálatot 2022 augusztus-október között folytattam le, ezért a felhasznált irodalmak között azok szerepelnek, melyek a vizsgálat időpontjában elérhetők voltak.
Ezzel a vizsgálattal az volt a célom, hogy a megvizsgáljam a Dél-Fejér településeinek lakosságának véleményét az előzőkkel kapcsolatban. A lakosok látnak-e összefüggést a községük műveltségi szintje és a helyi iskola munkája és a között. Valamint mennyire aktív részese a helyi pedagógus társadalom a települést működtető közösségi életnek? Ilyen, vagy ehhez hasonló kutatást, esszét nem találtam, ezért ez munkia úttörő ezen a területen. A szakirodalom feldolgozása során tisztáztam azon alapfogalmakat, melyek kutatás szempontjából relevánsak voltak számomra. Ilyen például a kisiskola és a műveltség fogalmának meghatározása.
A vizsgálatomat kérdőíves módszerrel tettem meg. A kérdőívet a településen élők számára és a községet irányító polgármesterek részére is megosztottam. A polgármesterek esetén 10 fő (9 polgármester és a saját településem alpolgármestere), a lakosok esetén 811 fő töltötte ki az űrlapot. Ennek eredményének egy rész fogom bemutatni
Experimental and Regression Vapor–liquid Equilibrium Data for Ethanol + Dipropylene Glycol Binary System: Ethanol Anhydrization Process Simulation Using Dipropylene Glycol as Extractive Agent
Get PDFEthanol is one of the most utilized additives in gasoline, and its obtaining and separation from regenerable resources is of great interest. Despite the enormous energy consumption, extractive and azeotropic distillation is still preferred for ethanol anhydrization. This work studies the utilization of dipropylene glycol (DPG) as an extractive agent. The vapor–liquid equilibrium (VLE) data for the ethanol + DPG binary system was experimentally determined and the VLE data obtained were regressed using Non-Random Two Liquid (NRTL) and Universal Quasi Chemical (UNIQUAC) thermodynamic models in PRO/II 2020 simulation software. The binary interaction parameters obtained from regression were used to simulate the water + ethanol separation by extractive distillation with DPG. There were realized a series of several simulations, using different solvent/feed ratios in the extractive distillation column, starting from two basic variants: variant A, where no heat recovery is considered, and variant B, where the heat of the hot streams in the process flow diagram (PFD) is recovered in three heat exchangers. The specific energy consumption (SEC) expressed as MJ/kg of anhydrous ethanol were calculated for each variant. It was found that the most economical is variant B which for the SEC is 7.53 MJ/kg of anhydrous ethanol. The SEC calculated for the best variant in this study is lower than the SEC calculated by other researchers for similar processes
Application of Machine Learning to Detect Building Points in Photogrammetry-based Point Clouds
Get PDFDifferent point cloud technologies such as Terrestrial Laser Scanners (TLS), Airborne Laser Scanners (ALS), Mobile Mapping Systems (MMS), and Unmanned Aerial Vehicles (UAV) have become increasingly more common in land surveying and geoinformatics over recent years. Thanks to these modern tools, experts can survey large areas cost-effectively with either high resolution or high accuracy. However, processing the point cloud, which consists of millions of points, can be a massive challenge. Manual processing of these large datasets can often be very time-consuming and hardware-demanding, and most of the time, only a limited part of the point cloud is used to derive the final products. The solution can be to automate the process as much as possible. Several advanced mathematical methods, especially Machine Learning (ML) algorithms, allow efficient automated processing of point clouds. This paper presents a processing chain to detect and separate building points from large-scale photogrammetry-based point clouds. The processing is based on the combination of Random Sample Consensus (RANSAC) and Machine Learning (ML) algorithms like Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Multi-Layer Perceptron (MLP). Presented methods were trained and tested on established and open available Heissigheim 3D (H3D) dataset to separate roof and vegetation points with over 90% accuracy in order to enhance the separation of building points on large-scale point clouds
Strength Optimization of Nanocomposite Cementitious Materials Using Nanoscale Modifications
Get PDFRepresent Volume Element (RVE) is broadly used by investigators to control the properties of nano-cementitious materials. This paper focuses on analyzing a set of RVE data and proposes parametric equations for determining the compressive and flexural strength characteristics (σc and σf). Primarily, a parametric study is performed with RVE analysis. The essential design parameters are used to fit rational equations. The RVE data are also applied to train artificial neural networks of σc and σf. RVE, neural networks, and rational equations are correlated. Regression equations are validated with the experimental study. SEM, TEM, XRD, and FTIR results are carried out in the microscopic and mechanical analysis for carbon nanofiber cement composites, which can lift their strength, constancy, integrity, and density and reinforce the composite microstructure. Lastly, the Pareto-optimal design results are presented with a multi-objective optimization problem
Moisture Sensitivity of Hot Mix Asphalt Modified with Micronized Calcium Carbonate
Get PDFMoisture sensitivity in an HMA refers to the loss of mastic cohesion and durability between the bitumen and aggregates due to water presence. Various methods exist to mitigate this type of sensitivity, with one of the most important approaches being the incorporation of anti-stripping agents into either the bitumen or aggregate materials. Based on this premise, the current study investigates the impact of using micronized calcium carbonate powder (MCCP or CaCo3) as a modifier for bitumen on moisture sensitivity in HMA. Three types of aggregates with different mineralogical properties (limestone, granite, and quartzite), and PG 64–16 bitumen (along with 2% and 4% MCCP based on the mass of the bitumen) were utilized. The modified Lottman test was performed under 1 to 5 freeze-thaw cycles while measuring surface free energy (SFE) elements for both bitumens and aggregates with Wilhelmy Plate (WP) and Universal Sorption Device (USD), respectively. The results of the moisture sensitivity test on the asphalt mixtures used in this study demonstrate that the addition of MCCP in the modified samples has led to a reduction in the sensitivity of the asphalt mixtures, particularly in multiple freeze-thaw cycles, compared to the control samples. Furthermore, findings from SFE analysis demonstrated that MCCP enhanced cohesion free energy (CFE) which subsequently reduced rupture probability within the bitumen membrane. Additionally, it improved adhesion between acidic aggregates susceptible to moisture-induced sensitivity and bitumens