Training System Research Articles

A Comparative Analysis of STEM Design Curriculum Policy for Country Development: A Case Study of Taiwan and Thailand

The aim of this comparative study is to analyze the STEM (Science, Technology, Engineering, and Mathematics) design curriculum policies in Taiwan and Thailand, focusing on their potential impact on national development. The research examines three key areas: 1) STEM educational developmentpolicies; 2) curriculum frameworks; and 3) teacher professional development. The methods employed in this study include a comprehensive review of relevant literature, policy documents, and curriculum frameworks from both Taiwan and Thailand. The analysis involves a comparative approach to identify similarities, differences, and best practices in STEM education policies and implementation strategies. The results indicate that both Taiwan and Thailand recognize the importance of STEM education for driving innovation and economic growth. However, Taiwan demonstrates a more comprehensive STEM policy framework and a stronger commitment to developing a skilled workforce. Taiwan’s curriculum framework emphasizes hands-on, project-based learning, interdisciplinary integration, and the incorporation of modern technologies, fostering critical thinking, problem-solving, and collaborative skills among students. In contrast, Thailand is in the early stages of establishing STEM regulations and aligning curricula with industry needs. Thailand’s evolving curriculum framework shows promise in promoting creativity, critical thinking, and practical problem-solving abilities. Regarding teacher professional development, Taiwan has a well-established system of ongoing training and industry-school collaboration, while Thailand is in the process of creating a STEM teacher competency program. The key conclusion of this study is that Taiwan’s well-developed STEM policy framework, with its focus on curriculum design and teacher professional development, demonstrates a more holistic approach to promoting STEM education compared to Thailand. Despite Thailand’s early stage of implementation, the country is showing encouraging progress in aligning its STEM policies with national development goals. The findings suggest that a comprehensive and integrated approach to STEM education, encompassing policy development, curriculum design, and teacher professional development, is crucial for effectively promoting economic growth and innovation in both Taiwan and Thailand.

Neural Network-Based Exercise Training and Limb Function Evaluation System for Traditional Chinese Medicine Guiding Technique

Exercise training plays a pivotal role in enhancing limb function and overall physical performance. Through targeted and progressive exercise regimes, individuals can improve strength, flexibility, coordination, and endurance in their limbs. This paper presents a novel Neural Network-Based Exercise Training and Limb Function Evaluation System tailored for Traditional Chinese Medicine (TCM) guiding techniques. This paper constructed a novel Multi-Layer Fuzzy Pattern Neural Network (MLFPNN) for the estimation of limbs for exercise training. The proposed MLFPNN model acquires information about the limb muscles through the acquired information features are normalized. With the normalized features, TCM is evaluated for the computation of the feature for the exercise training in MLFPNN. The proposed model uses the multilayer fuzzy for the estimation of the limb features associated with the limb function. The estimated features of the limb are applied over the pattern network for the classification of limb function based on TCM with MLFPNN. The proposed MLFPNN model evaluates the 10 features in the limb muscle estimation for TCM-based exercise training. Experimental analysis is conducted for the proposed MLFPNN to achieve a higher prediction based on the actual values. The comparative analysis demonstrated that the proposed MLFPNN model achieves an accuracy of 92.5% while conventional SVM, RF, and k-NN achieve a classification accuracy of 88.3%, 90.7%, and 87.6% respectively. The findings stated that the proposed MLFPNN model is significant for the limb function estimation for the TCM-based training.

Innovative System for University Research and Teaching Staff In-House Training in English

Innovative System for University Research and Teaching Staff In-House Training in English

Transitioning learners from literacy instruction in local languages to English in Zambia: teacher practices and parental responses

ABSTRACT In Zambian primary schools, children begin learning to read in one of seven Zambian languages, transitioning to English as the language of instruction by fifth grade. Research on early-exit language transition in this context is limited. This case study aimed to examine this transition in four primary schools in Serenje, Zambia. Study participants included teachers, parents, and Ministry of Education officials. We found that phonics-based approaches were frequently used by grade 3 and 4 teachers to scaffold transition, as well as learner-centred approaches. A recurrent theme was the lack of sufficient teaching and learning materials to support transition. We found a great deal of support for initial literacy instruction in local languages among parents, in contrast with much of the literature on parental preferences, but parents identified the same challenges as teachers regarding the lack of materials to support language transition. We recommend the development of a specific transition curriculum for Grades 3 and 4, in alignment with the National Literacy Framework; corresponding alignment of the pre-service and in-service teacher training systems; and the provision by the government of sufficient materials specifically designed to support transition, including home reading materials.

The system of physical training of the French Armed Forces: features, content and structure of training

The system of physical training of the French Armed Forces: features, content and structure of training

The use of dynamic modeling methods to create an adaptive training system for specialists that meets modern demands in the information field

The use of dynamic modeling methods to create an adaptive training system for specialists that meets modern demands in the information field

Simulation Training System for Parafoil Motion Controller Based on Actor–Critic RL Approach

Simulation Training System for Parafoil Motion Controller Based on Actor–Critic RL Approach

The Effectiveness of Occupational Health and Safety Practices in Public Technical Training Institutes

The study aimed to evaluate the extent of occupation-related injuries and accidents, the use of Personal Protective Equipment (PPE), Occupational Health and Safety (OHS) training, and awareness and implementation of OHS policy among Technical Training Institutes (TTIs). The study used qualitative and quantitative methods to analyze data from 99 final-year trainees, including 47 auto mechanics, 24 electricians, 16 welders, and six OHS focal persons. Data was collected through self-administered questionnaires and in-depth interviews and analyzed using SPSS-16 and MAXQDA-2020. The study revealed a commendably low rate of hazards in training institutes (TTIs), with a mere 10.26% and a mean score of 2.1. This positive outcome, a testament to the high awareness of OHS and PPEs, should give reassurance about the current state of OHS practices in TTIs. The training system was a resounding success, with a mean rating of 4.09 for trainees' understanding and use of PPEs. However, the study also identified areas for improvement, particularly the urgent need for improved monitoring and management support. This need for immediate action is crucial for sustaining and enhancing these standards, and it should make the audience feel the urgency of the situation. [Abstract continued in PDF]

Physiological Features of the Response of the Respiratory and Circulation Systems to Physical Load in Students Engaged in Winter Football

Adaptive changes in the circulatory and respiratory systems under the influence of winter football training were studied. 50 men aged 21-25 years — 3rd-4th year students — were examined: control group — 25 people specializing in “soccer” (S), main group — 25 people studying in the specialization “winter football” (WF). The examination was performed twice — before and after physical activity. Running (average pace, 180 steps/min) for 15 minutes was used as dosed physical activity. The loads were performed either indoors at a temperature of plus 22–24°C, or in winter outside at a temperature of minus 18–20°C. Indoor and outdoor surveys were carried out on different days. Assessment of peripheral blood flow in the lower extremities was performed using rheography; to assess the main blood flow in the femoral artery, Doppler ultrasound was used. The study of external respiration functions was carried out using pneumotachography. The lactate concentration in capillary blood was determined photometrically. It has been shown that physical activity performed in the cold in adapted athletes (WF group) promotes increased integration between the respiratory and circulatory systems, ensuring the formation of a functional system characterized by stronger connections for optimal adaptation to the combined effects of physical activity and cold. In athletes training indoors (group S) under conditions of a combination of physical activity and cold exposure, on the contrary, desynchronization of the interaction of the respiratory and circulatory systems occurs, which leads to a decrease in adaptive reserves. Thus, sports training in winter football triggers phenotypic adaptive changes and creates a number of physiological mechanisms that promote increased integration between the respiratory and circulatory systems, providing optimal adaptation to the combined effects of physical activity and cold. The obtained facts will be useful for the development of special training programs aimed at increasing the functional reserve of the cardiorespiratory system of athletes training in cold conditions.

Правовая грамотность студентов вуза как важная составляющая системы подготовки кадров

The article is devoted to the analysis of the problem of legal literacy of students based on the results of a sociological survey, in which 102 university students from various fields of study took part. For 97% of respondents, legal literacy in the modern world is very relevant. The work emphasizes the importance of developing legal consciousness among financial university students and offers some recommendations for improving this process. This is due to the fact that legal literacy is an indicator of an individual’s social maturity and readiness to resolve legal issues. Thus, the results of the study allow us to conclude that it is necessary to introduce more classes on legal issues into the system of training highly qualified personnel, which will help students better understand legal instruments and their application in various situations.

Development of an Online Training System on Pulmonary Aspiration for Clinical Nurses.

Pulmonary aspiration is a particularly problematic condition in patients in hospitals and nursing home. To promote patient safety and prevent serious complications, the nurse's role in preventing and caring for patient at high risk of pulmonary aspiration is crucial. Our team has developed an online training system on pulmonary aspiration for nurses to improve their ability to identify early risk factors, scientifically assess the risk of aspiration, and effectively intervene and manage when pulmonary aspiration occurs. This system was developed via WeChat app, the most popular social media application in China. It has four main functions, such as online training, online assessment, announcement interaction, and learning record. This online training systems offer the benefits of flexible learning time with anytime access, rich resources that are easy to update, and greater cost-effectiveness. This paper presents and discusses the development process of this system.

Enhance Kinesthetic Experience in Perceptual Learning for Welding Motor Skill Acquisition with Virtual Reality and Robot-based Haptic Guidance.

Welding is an important operation in many industries, including construction and manufacturing, which requires extensive training and practices. Although welding simulators have been used to accommodate welding training, it is still challenging to enable novice trainees to effectively understand the kinesthetic experience of the expert in an egocentric manner, such as the proper way of force exertion in complex welding operations. This study implements a robot-assisted perceptual learning system to transfer the expert welders' experience to trainees, including both the positional and force control actions. A human-subject experiment (N = 30) was performed to understand the motor skill acquisition process. Three conditions (control, robotic positional guidance with force visualization, and force perceptual learning with position visualization) were tested to evaluate the role of robotic guidance in welding motion control and force exertion. The results indicated various benefits related to task completion time and force control accuracy under the robotic guidance. The findings can inspire the design of future welding training systems enabled by external robotic systems.

Improved Casualty Depiction System for Simulated Mass Casualty Exercises.

Assessing military medical teams' ability to respond to large-scale mass casualty (MASCAL) events has become a priority in preparing for future conflicts. MASCAL exercises rely on large numbers of simulated patients with limited medical training. Role-players must be appropriately prepared to ensure that medical exercises adequately assess the expected capabilities of military medical units. The Uniformed Services University of the Health Sciences (USUHS) has evaluated future military providers for decades using a large-scale, multiday, immersive simulation called Bushmaster. Despite a robust casualty training system, the fidelity of the portrayals remained limited. Through collaboration with national military medical experts, a comprehensive casualty depiction system was developed. This system relied on structured casualty cards linked to time-based illness scripts. Structured casualty cards included an appropriate balance of disease non-battle injuries and trauma, included multipatient presentations based on shared events (i.e., multiple injured personnel due to an aircraft crash), normal and pathologic combat stress, population/unit considerations, requirements for different roles within the medical unit, and expected clinical outcomes. Illness scripts, supplemented by video guides, included time-based courses of illness/injury and prescribed responses to different typical treatments. This system was piloted during an annual MASCAL exercise (Operation Bushmaster) at USUHS. Clinical faculty were queried on the fidelity of this new system while role-players were evaluated on feasibility. Three hundred casualty cards linked to 49 illness scripts were created, peer-reviewed, and piloted at Bushmaster. A total of 170 military members with limited medical training portrayed simulated patients utilizing the new casualty depiction system. Clinical faculty members strongly agreed that the improved casualty depiction system improved the realism of individual patient presentations (96%). Eighty-three percent of role-players strongly agreed that the casualty depiction system was easy to understand. This improved casualty depiction system was a feasible approach to enhance the fidelity of a MASCAL exercise. It has since been shared with military medical units around the globe to assist with their MASCAL exercises, making future multisite evaluations of this casualty depiction system possible.

Business Strategy Formulation for PT Silka Teguh Sejahtera (Sciencom) to Elevate its Revenue

PT Silka Teguh Sejahtera (Sciencom) is one of Indonesia’s IT and computer training providers. In the past several years, the company faces limited revenue growth despite its strong reputation and high-quality training services as well as promising market potential for IT and computer training provider. This happens because Sciencom main target customer base is government institutions which have faced budget reductions for education and training. This study aims to formulate a business strategy for Sciencom to enhance its revenue by identifying the factors influencing the limited growth of the company’s revenue. The primary data is gathered from qualitative method in which the author conducted interviews with Sciencom’s employees and customers representatives in order to analyze the internal and external factors to the business issue. To support the finding, the author uses secondary data collected from company’s reports, journals, books, and websites. Through thorough internal and external analysis, the author was able to propose a new Segmentation, Targeting, and Positiong (STP) and Marketing Mix 7Ps to develop Sciencom’s business strategy using the Ansoff Matrix Growth Strategy that the company can utilize in order to elevate its revenue amidst a competitive market. The proposed strategy include expanding the target customer base to state-owned enterprises and fresh graduates, integrating a Leaning Management System (LMS) for online training, offering ERP solutions, partnering with universities for Swakelola Type 2 projects, forming a digital marketing and human resources departments, and regularly updating IT courses, certification, and promotional package offerings.

Retraction Note: Research on reliability of sports intelligent training system based on hybrid wolf pack algorithm and IoT

Retraction Note: Research on reliability of sports intelligent training system based on hybrid wolf pack algorithm and IoT

Depth perception optimization of mixed reality simulation systems based on multiple‐cue fusion

AbstractMixed reality technology can be applied to simulation training, improve surgical performance, enhance 3D game experience, and so on, attracting extensive attention of researchers. The perception of the user about head‐mounted display MR using HoloLens is critical, especially for precision applications such as virtual hoisting. Designing and adding appropriate depth cues in MR scenes is an effective way to improve users' depth perception. In this study, taking virtual hoisting training system as an example, the depth perception strategy of multi‐cue fusion is proposed to improve the perception effect. Based on the mechanism of human depth perception, five kinds of depth cues are designed. The depth perception effect of adding single cue is studied by perceptual matching experiment. Based on the principle of fuzzy clustering, a multiple‐cue comprehensive depth optimization strategy on viewing distance scale is proposed. Finally, the perceptual matching results demonstrate the effectiveness of the multi‐cue fusion strategy, and the average error is reduced by 20.68% compared with the single‐cue strategy, which can significantly improve the spatial depth perception. This research can provide a reference for improving users' depth perception in interactive MR simulation systems.

Agent-based social skills training systems: the ARTES architecture, interaction characteristics, learning theories and future outlooks

ABSTRACT Agent-based training systems can enhance people's social skills. The effective development of these systems needs a comprehensive architecture that outlines their components and relationships. Such an architecture can pinpoint improvement areas and future outlooks. This paper presents ARTES: a general architecture illustrating how components of agent-based social training systems work together. We studied existing systems and architectures for training and tutoring to design ARTES and identify its essential components and interaction characteristics. ARTES comprises two core components: the agent simulation of social situations, and educational elements to provide guided learning. We link ARTES's crucial components to four primary learning theories (behaviourism, cognitivism, social cognitive theory, and constructivism) to illustrate the role of agent simulation and tutoring elements in establishing desired learning outcomes. Furthermore, we map ARTES's components against eight architectures, 43 systems and three tools to indicate the components' relevance, completeness, generalisation, and deployment potential across contexts. In addition to ARTES, the paper also contributes by identifying future improvements and research directions, such as the agent's thinking, tutoring methods, knowledge transfer, and ethical implications. We believe ARTES can help bridge the gap between virtual human simulations and impactful educational learning, offering training system developers desirable features like understandability and adaptability.

A matrix of artificial intelligence tools in pre-service foreign language teacher training

Importance. The modern stage of information and technological development of civilization is characterised by the dynamic emergence of artificial intelligence (AI) technologies and the development of tools based on them, which are being more and more introduced into various spheres of life. The education system in general, and foreign language education in particular, is no exception. Currently, there are several dozen AI tools that are actively used by students and teachers in the development of foreign language communicative skills and the development of language skills. There is a rather voluminous body of research in the academic literature devoted to the disclosure of the language teaching potential of modern AI tools. However, most of the studies are of a pilot nature. The focus of scholars’ attention is on particular methods for the development of students’ communicative skills or the development of certain language skills based on individual AI tools. The systematic consideration of the integration of AI technologies into the process of teaching foreign language majoring students – future foreign language teachers – linguistic and teaching methods training has not been the subject of a special study. The purpose of this study is to develop a matrix of AI tools used in the linguistic and teaching methods training of future foreign language teachers.Materials and Methods. The study is conducted on the basis of the expert assessment method, which allows to: a) identify the language teaching potential, as well as the limitations of the most common AI tools; b) summarise and classify the available knowledge in the form of a matrix of AI tools used in the linguistic and teaching methods training of future foreign language teachers. The materials of the study were research articles, published in Russian and foreign academic journals, indexed in Web of Science and Scopus.Results and Discussion. A matrix of AI tools in the linguistic and teaching methods training of future foreign language teachers has been developed. The matrix is presented according to six types of feedback from generative AI used in foreign language teaching and teaching methods. The following are the main and most accessible AI tools for teachers and students providing feedback of each type: a) Replika, LingvoBot, Multitran_bot, Slavaribot, WorldContextBot, ChatGPT, Google Assistant, EGEEnglish.ru (educational and social feedback); b) ChatGPT, YandexGPT and GigaChat (information and reference feedback); c) ChatGPT 4.0, YandexGPT, GigaChat, Twee (methodological feedback); d) ChatGPT, YandexGPT, GigaChat, Turnitin, software “Antiplagiat” (analytical feedback); e) Grammarly, PaperRater, Pigai, ChatGPT 4.0, YandexGPT, GigaChat, Criterion (assessment and evaluative feedback); f) ChatGPT, YandexGPT, GigaChat, AI Poem Generator, Midjourney, Suno, Sora, Runway (conditionally creative feedback).Conclusion. The novelty of the research consists in the development of a matrix of AI tools in the linguistic and teaching methods training of future foreign language teachers. The prospects for further research lie in the development of teaching methods for aspects of language, types of speech activity, as well as specialised disciplines based on specific AI tools. In their entirety, these particular methods will enable the creation of an integrated system of linguistic and teaching methods training of future foreign language teachers based on AI tools.

Design of Basketball Teaching and Training System Based on 5G Technology Support in a Wireless Network

This research evaluates the efficacy of a basketball-based teaching and training system supported by 5G technology in a wireless network environment. Initially are information about the Chinese basketball students is first gathered and then divided into a Control Group (CG) and an Experimental Group (EG). The control group uses the standard method of collegiate basketball instruction, while the experimental group learns the game under the background of 5G technology. For transmitting the basketball teaching data in the 5G network, we proposed a novel routing protocol named Probability-based Coupling Zone Routing Protocol (PbCZRP). An optimization technique called the Shark optimization approach is used to enhance the performance of the routing protocol. Finally, a comparison of the two groups reveals that the experimental group's basketball players fared better than the control group. The basketball training plan powered by 5G will supply students with adaptive learning services that take into account their individual needs and strengths.

Corporate training systems in production companies of Russia

Corporate training systems in production companies of Russia