Technical University Research Articles

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 36 • Number of submissions sent for review: 34 • Number of submissions accepted: 30 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 83.3 • Average number of reviews per paper: 3.066666666666667 • Total number of reviewers involved: 46 • Contact person for queries: Name: hosam mostafa Email: icee@mtc.edu.eg Affiliation: Military Technical College

A Review of The Current Situation of Career Planning Courses in Chinese Higher Vocational Colleges

As China pays more and more attention to vocational education, the urgency of high-quality employment for vocational college students is also increasing. Career planning courses, as a key comprehensive education for high-quality employment in vocational colleges, play a crucial role. However, according to the data, the resignation rate of vocational college students within six months has remained high in recent years, which shows that the teaching of career planning courses for vocational college students is still not adequate. This paper aims to study the teaching situation of career planning courses in vocational colleges in China and identify the problems and causes of such courses. Using the method of document research, the paper takes the career planning course teaching situation in Ningxia Vocational and Technical College as a sample for study. Through the research, it was found that vocational colleges generally have problems with outdated teaching methods, weak faculty teams, and insufficient course settings, mainly due to the lack of attention from the government, schools, and students themselves on career planning courses. This paper analyzes the problems and causes of the teaching of career planning courses and proposes relevant reform and innovation strategies to enhance the level of attention to career planning courses.

Efecto de la pendimentalina sobre el crecimiento celular de rizobacterias Promotoras de Crecimiento Vegetal (PGPR)

Pendimentalin is an herbicide used in short-cycle crops. Its indiscriminate use reduces the beneficial population of microorganisms in production systems. The objective of this work was to evaluate the effect of pendimentalin on the cell growth of rhizobacteria. The research was conducted at the Laboratory of Microbiology and Molecular Biology of the State Technical University of Quevedo, where the following experiments with pendimentalin contamination were carried out: 1) Adaptability of rhizobacteria under in vitro conditions; 2) Tolerance levels of rhizobacteria under different abiotic conditions in vitro; 3) Reduction of stress by rhizobacteria in soils. The rhizobacteria show a higher adaptability at 72 h with absorbance of 2.38 and 2.51 in the strains (CHA0, BA4-19, B03-4, PM3-14 and R4), also during this time they establish a neutral pH, despite the acidic and alkaline conditions. Strain CHA0 presented the highest number of cells under neutral pH (1.09E+09 CFU/mL). Strains BA4-19 and PM3-14 showed a slight improvement in morphological aspects. Rhizobacteria have adaptability at the in vitro level, but their use slightly reduces the toxicity of the herbicide in rice germination and growth processes.

Researching the possibilities of using digital financial instruments by future economists for sustainable development purposes

Introduction. The authors explore the problem of developing digital financial literacy as the most important characteristic feature of positive financial behavior in the context of the transition to the digital economy. The purpose of this article is to identify priorities and trends in using digital financial instruments by future economists for sustainable development purposes. Materials and Methods. The methodological basis of the study is the strategy of sustainable development, the ideological foundations of which determine the need for readiness to live and act in changing conditions, to plan socio-economic development taking into account the limitations of activities and the consequences of decisions made. The main method of the empirical part of the study is T. Saaty’s scale which was employed in order to identify global priorities in the use of digital financial instruments. A sociological survey was conducted among students of the Financial University under the Government of the Russian Federation, Omsk State University named after F.M. Dostoevsky, Omsk State Technical University, schoolchildren of specialized economics classes (Gymnasia 19, Omsk) to identify priorities and trends in the use of digital financial instruments by future economists, taking into account gender and age preferences. Results. The ideas about the level of awareness about the problem of developing digital financial literacy are systematized, explaining the relationship between digital and financial literacy from the point of view of the prospects of the socio-economic space. Global priorities of the use of digital financial instruments by respondents were identified: the general sample prefers to work with optimal combinations of 2 banking payment systems. Analysis of correlations by gender shows that male respondents are better than the sample at the range limits, and female respondents are in the middle. The interpretation of the answers characterizes the women’s choice as stable, middle options of behavior (2-3 cards), which are less risky. Men, on the contrary, consider risk as a challenge that encourages activity, and go to the border of the sample (1-4 cards). A similar trend is typical for the age groups between 17 and 20 years. This, on the one hand, is explained by the psychological peculiarities of gender, and on the other hand, by active advertising campaigns of digital sets of financial services offered by leading Russian banks. An assessment of students’ awareness of new models of the digital economy has been obtained, demonstrating a good correlation as respondents grow older, which determines the positive dynamics of digital financial literacy of future economists (1-4 year undergraduate students) in the light of current labor market trends. Conclusions. The results of the research confirm that active use of digital financial instruments determines affirmative dynamics of positive financial behavior of future economists for the purpose of sustainable socio-economic development.

Effect of Animated Instructional Software on Students’ Academic Achievement in Motor Vehicle Maintenance Work in Government Technical Colleges in Rivers State for Sustainable Economy

The study investigated the effect of animated instructional software on students’ academic achievement in motor vehicle maintenance work (MVM) in Government Technical Colleges in Rivers State, Nigeria for sustainable economy. The study adopted quasi-experimental non-randomized control group design. The population of the study was 95 MVM students from the three Government Technical Colleges in Rivers State that offer motor vehicle maintenance work (MVM). A sample of 75 respondents was drawn using a random sampling technique. Three objectives, three research questions, and three hypotheses guided the study. The instrument used for data collection was the Motor Vehicle Maintenance Work Achievement Test (MVMAT) which has thirty (30) multiple choice questions with four options A-D developed by the researcher and validated by three experts of which two are from the Department of Industrial Technical Education, Ignatius Ajuru University of Education, Port Harcourt and one from Department of Measurement and Evaluation, Rivers State University, Port Harcourt. The reliability of the instrument was determined by a pre-test on 10 respondents from Government Technical College, Owerri, Imo State, who are not part of the population and produced a reliability coefficient of.74 after subjecting student’s responses to the Kudar-Richardson (KR-20) formula. Mean and standard deviation were used to analyze data from the research questions while Analysis of Covariance (ANCOVA) was used to test the hypotheses of the study at .05 level of significance. The study revealed that the use of animated instructional software in the teaching of MVM aided the academic achievement of students, as those in the experimental group performed better than those in the control group. The study recommends, among others, that animated instructional software should be adopted by curriculum designers and NBTE for technical teachers who will be trained in the usage of the software and should be adequately supervised for effective implementation in instructional delivery.

Model Development for Adaptive Leadership of Division Heads in Technical Colleges under the Office of the Vocational Education Commission

Model Development for Adaptive Leadership of Division Heads in Technical Colleges under the Office of the Vocational Education Commission

Yield analysis of a BIPV façade prototype installation

Building integrated photovoltaics (BIPV) typically operate under different conditions compared to standard PV due to non-optimal orientations, poor ventilation, or additional losses in coloured modules. In this work, a test site for BIPV curtain wall façades was constructed at the Technical University of Denmark (DTU) and monitored for a full year. This data is used to analyze various performance aspects, including operating temperatures, power optimizer efficiencies, and DC performance ratios. In addition, parts of the system are modelled in SAM and results of this simulation are used to identify errors. In addition to this analysis, the underlying data set is published for researchers to use in model validation.

Underwater noise measurements of a free-running ship model

ABSTRACT The high background noise and narrow widths of towing tanks, which cause sound wave reflections, make them unsuitable for noise measurements, leading to a lack of published hydroacoustic data. To address this, we developed a free-running test model of the benchmark DTC container ship at a 1/80 scale and conducted hydroacoustic tests in the artificial lake at Istanbul Technical University. The model was remotely controlled to pass a fixed water station equipped with a hydrophone. We present ship noise measurements at three different velocities, noting a strong correlation between the propeller rotation rates from self-propulsion tests and hydroacoustic signals at high speeds. However, accuracy decreases at lower speeds due to background noise interference.

Perception of Employment among Vocational School of Health Services Students

It is important to assess the employment perceptions of students from the Vocational School of Health Services to solve the problems observed in the labor market after graduation. In this context, this research aimed to determine the impact of students' perspectives on the profession, sector expectations, and career plans on their employment perceptions. The research utilized the "Attitudes and Thoughts of Vocational School of Health Services Students about Employment Status Scale" as the data collection tool. The study was conducted through an online survey method on students currently enrolled in the Medical Laboratory Techniques, Medical Documentation and Secretarial Services, Medical Imaging Techniques, and First Aid and Emergency Care Programs at Karadeniz Technical University Vocational School of Health Services. Student's t-test and ANOVA test were utilized for comparing groups. As a result of the study, it was determined that demographic variables such as class, age, and the program that students are enrolled in significantly influenced their career expectations, perspectives on the profession, sector expectations, and career plans.

Educational data mining in a university using LMS Moodle

Educational data mining is a technology for processing big data collected through educational portals and used for assessing the quality of educational content and predicting educational outcomes. Various data analysis methods are applied in the implementation of this technology, including anomaly detection, association rule mining, classification, cluster analysis, regression analysis, and factor analysis. Each of these methods uses special tools, such as spreadsheets, high­level programming languages (Python or R), low­code platforms (Loginom, Orange), or specialized analytics modules integrated into educational portals. The article reveals the features of the “Analytics” module embedded in LMS Moodle for tracking and optimizing the educational process. The authors provide recommendations for configuring and using this module in the educational process. The module “Analytics” allows to create forecasts of the success rate of mastering a separate training course without programming skills , does not require data preprocessing for analysis, and allows to quickly take measures to improve the educational process based on the results of the forecast. However, the module has a number of disadvantages (limited attributes and forecasting models, high requirements for computing power to run model training and build forecasts), so often administrators of educational portals disable this module. In this regard, an experiment was conducted to train a classification model for predicting students’ examination scores based on students’ activities on the educational portal of Nosov Magnitogorsk State Technical University. In the course of the experiment, data on students’ activity on the university’s educational portal for one academic year were taken, and machine learning models were built to predict examination scores for an individual student and subject. The results of the experiment showed F1 74 % in predicting the score that the students would receive on the intermediate assessment. This confirms the effectiveness of using educational data mining based on user data from educational platforms.

Dynamics of indicators of cadets’ psycho-emotional state in the process of educational and combat activities

The full-scale war in Ukraine, which has been going on for the third year, has a negative impact on both the physical and psycho-emotional states of military servicemen of all specialties. Training and combat activities of cadets in field environment, in the absence of physical exercises, can lead to a decrease in the emotional state, deterioration of well-being, mood, working capacity of cadets, and the emergence of neuro-emotional stress. The article is devoted to the study of the dynamics of indicators of cadets’ psycho- emotional state during the educational and combat activities in the field environment. Male cadets of the Military Institute of Tank Troops of the National Technical University «Kharkiv Polytechnic Institute» were involved in the research, which was conducted in 2023-2024. To study the indicators of the cadets’ psycho-emotional state, we used three psychodiagnostic methods: "Self-assessment of the emotional state", "Scaled self-assessment of the psycho-physiological state", "Evaluation of neuro-emotional stress". Research methods: analysis and generalization of literary sources, methods of psychodiagnostics, methods of mathematical statistics. Deterioration of indicators of the psycho-emotional state of cadets of all courses of study during field classes of different duration according to all psychodiagnostic methods was revealed. The most pronounced negative changes are observed during longer field classes, and depending on the year of study, in junior year cadets. This may be due to insufficient emotional resistance to the stressful factors of educational and combat activities in junior cadets. Also, the obtained results allow us to assert the insufficient effectiveness of the traditional method of organizing and conducting physical training of cadets in field environment and the need for its improvement. In the future, we plan to investigate the impact of sports games on the recovery of cadets’ psycho-emotional state after field training of different durations.

The Problems and Countermeasures in the Incentive Mechanism for Young Teachers: The Case of Z Vocational and Technical College in Zhejiang Province, China

The Problems and Countermeasures in the Incentive Mechanism for Young Teachers: The Case of Z Vocational and Technical College in Zhejiang Province, China

The Application of Reinforcement Theory in the Review Stage of English Teaching and Learning in Chinese Higher Vocational and Technical Colleges

The Application of Reinforcement Theory in the Review Stage of English Teaching and Learning in Chinese Higher Vocational and Technical Colleges

Роль преподавателя и педагога в трансляции культуры: состояние и задачи

<p style="text-align: justify;">In modern conditions, questions about the transmission of culture, about the factors of socialization of people remain relevant. Social institutions for the transmission of culture and the formation of social ideas of young people are secondary and higher educational institutions, the key persons being teachers and lecturers. Purpose of the study: to study the ideas of teachers and students about the “standard qualities” of a person (man, woman, husband, wife). Hypotheses: 1) ideas about the “standard qualities” of a person are formed through various social mechanisms. 2) the effects of teachers’ direct influence on the formation of students’ ideas about “standard qualities” are limited; The perceptions of teachers and students differ. Sample: 1st and 2nd year students, boys and girls aged 18-20 years: 32 — technical university (RTU MIREA, Moscow), 33 — humanitarian (GAUGN, Moscow), 47 — sports (GTSOLIFK); 37 nurses undergoing retraining, 22-38 years old; 36 teachers of the same universities (men and women); women aged 25-60 years). The working hypotheses are confirmed; the data obtained are consistent with the results of the first studies (Tolochek, 2023), expand and develop them.</p>

Effects of Inductive and Deductive Inquiry Teaching Approaches on Technical College Students Achievement in Metalwork

The impact of inductive and deductive teaching methods on metalwork proficiency was evaluated among technical college students. The purpose of study was designed to determine the effect of inductive and deductive inquiry teaching approaches to enhance students’ cognitive achievement in Metalwork and to students’ psychomotor achievement in Metalwork. The study, involving 115 students, employed a pre-test, post-test, non-equivalent control group design, with 56 students allocated to the Deductive Inquiry group and 59 to the Inductive Inquiry group. Data were collected using the Metalwork Achievement Test (MCAT) and the Metalwork Psychomotor Achievement Test (MPAT). The Pearson Product Moment Correlation produced a correlation coefficient of 0.83 for assessing the MCAT's reliability. The reliability of MPAT was determined using the scorer dependability technique. The inter-rater agreement was 0.82. Despite a non-significant ANCOVA result at the 0.05 level, the students in the experimental groups showed superior mean scores. In metalwork instruction, students who employed the inductive inquiry method earned higher average scores on both the cognitive and psychomotor tests. The mean scores were statistically significant. Given these findings, Metalwork teachers at technical colleges should employ an inquiry-based learning method.

Innovative Prozessketten in der Produktion

Abstract The hybrid process chain, consisting of wire arc additive manufacturing and post-processing, is a promising alternative to many established process chains but brings new challenges to the product development process. In several research projects at the Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich, existing competencies in hybrid manufacturing are further developed. These research projects aim to enable hybrid manufacturing for new applications and to facilitate stable processes.

Black carbon and particulate matter concentrations amid central Chile's extreme wildfires

The increase in the frequency and severity of global wildfires has been largely influenced by climate change and land use changes. From February 2 to 6, 2024, central Chile experienced its most devastating wildland-urban interface wildfire in history, severely impacting the Valparaíso region. This catastrophic event, which led to extensive forest destruction, the loss of thousands of homes, and over a hundred human fatalities, directly impacted the area surrounding the campus of Federico Santa María Technical University. In that period, an air quality monitoring campaign was set up on the campus to measure black carbon (BC) and particulate matter (PM) during the wildfire season. The monitoring station was located directly within the smoke plume, allowing for the collection of unprecedented air quality data. Extremely high concentrations of BC at 880 nm were reported during the wildfires, with a daily mean (±σ) of 14.83 ± 19.52 μg m−3. Peak concentrations measured at 880 nm and 375 nm reached 812.89 μg m−3 and 1561.24 μg m−3, respectively. The maximum daily mean BC concentrations at these wavelengths were 55 and 99 times higher, respectively, compared to the pre-event period. The mean Ångström absorbing coefficient during the event was 1.66, indicating biomass burning as the primary BC source, while the maximum BC/PM2.5 ratio (at 375 nm) reached 57 %. From February 2 to 5, 2024, PM concentrations exceeded the Chilean air quality standard by 82 % and 198 % for coarse and fine particles, respectively. These levels are 4.7 and 6.0 times higher than the World Health Organization's recommendations. These elevated concentrations persisted for up to three days after the fire was extinguished.This study provides unique evidence of the rapid deterioration of regional air quality during a wildfire event using in situ measurements, serving as a stark reminder of the far-reaching consequences of a warming climate.

UTILIZING NUTRITIONAL AND LIFESTYLE DATA FOR PREDICTING STUDENT ACADEMIC PERFORMANCE: A MACHINE LEARNING APPROACH

Nutrition and lifestyle factors have an enormous impact on students' academic performance. Nonetheless, there is a shortage of machine learning models to predict students' academic performance based on their nutrition and lifestyle. This paper intends to fill those gaps based on an extensive dataset of various attributes, underlining the capabilities of advanced machine learning models in uncovering the complex relationship between nutrition, lifestyle factors and student’s academic performance. A cross-sectional study was conducted in Kalar Technical College, Garmian Polytechnic University in Kurdistan region - Iraq, that involved 500 undergraduate students whose ages range from 18 to 22 years old; the dataset contains demographic characteristics, dietary intake, physical activity, and anthropometric measurements. Various Techniques, tools, and machine learning algorithms such as logistic regression and decision tree classifiers were employed using Python's Scikit-Learn library; finally, Pre-processing of the data was carried out to ensure its suitability for analysis. The machine learning model that the authors developed showed promising prediction results. While the logistic regression model had an accuracy of 70.4%, the decision tree model excelled with an accuracy of 98.55%. Furthermore, exercise, BMI, and dietary intake notably impacted students’ academic performance.

СТУДЕНТТЕРДИН ТААНЫП БИЛҮҮ АКТИВДҮҮЛҮГҮН ӨНҮКТҮРҮҮДӨ МАТЕМАТИКАЛЫК ТАРЫХЫЙ МАТЕРИАЛДАРДЫН РОЛУ

The results of any study depend on the methodological position of the researcher. This is due to the fact that by choosing the methodological foundations of pedagogical research, theoretical and practical directions of scientific work are determined, methods of scientific research are selected, and ways to achieve results are determined. This article presents a methodology for teaching mathematics to technical college students using its historical elements. In teaching mathematics to college students, issues of historical content and the history of each branch of mathematics occupy an important place. By learning mathematics through its history, solving problems of historical content, students are not limited to mastering current material, but broaden their horizons. The article also mentions several teaching methods (“Tornado”, “Game”). Motives such as interest in the subject, awareness, compulsion, etc. also appeared. When covering a topic in mathematics, we looked at how to use its historical elements.

Bending Dielectric Elastomer Actuators

Dielectric Elastomer Actuators (DEAs) are a type of electroactive polymers that transform electric energy into mechanical work and are capable of large strains and high energy densities. DEAs are often described as “artificial muscles” because they exhibit strains, energy density, and responsiveness similar to natural human muscles. Their applications as soft robotic grippers, artificial arms, underwater robots, and aerial robots have previously been demonstrated. Single-layer DEAs have a simple design, with a dielectric layer sandwiched between compliant electrodes. However, by alternating positive and negative electrodes, multilayer DEAs can exhibit larger forces and strains than single-layer DEAs. DEAs are actuated by applying voltage and forming an electric field, generating a Maxwell stress between the electrodes. The process of fabricating a multilayer DEA consists of spin coating and curing layers of elastomer, stamping carbon nanotubes (CNT), and making connections to the electrodes. By alternating positive and negative electrodes, multilayer DEAs are constructed, which can exhibit larger forces and strains than single-layer DEAs. When electrically activated, DEAs expand laterally; however, by fabricating a bimorph DEA actuator, we demonstrate bending DEAs. A bimorph DEA consists of a multilayer DEA layer attached to a thicker inactive elastomer layer. When the bimorph is actuated, only the DEA layer expands, causing the actuator to bend. We study the relationship between the bending and stiffness of the inactive layer. By changing the shape of the DEA to a triangle or wing-like shape, we also emulate the high-frequency flapping of birds. Work begun on characterizing the voltage-controlled deflection of bimorph DEAs and understanding the mechanics of the bending of a simple beam in terms of forces at Harvard University will be continued on the Navajo Reservation at Navajo Technical University.