Impact of teachers’ self-efficacy on their work engagement: A case of Vietnam

Recent research across various educational settings has consistently highlighted the statistically positive effects of teachers' efficacy on their level of work engagement. However, an in-depth analysis of the literature reveals an important gap in this study in relation to Vietnamese education. Hence, the present study aims to establish a relationship by investigating the relationship between teachers' efficacy and their work engagement within the framework of the Vietnamese educational system. The study used both the Teachers' Sense of Efficacy Scale (TSES) and the Utrecht Work Engagement Scale (UWES) to gather quantitative data from 354 high school teachers across 6 different high schools. The findings revealed a positive relationship between teachers' efficacy and their work engagement through a combination of factorial analysis and path analysis. These findings are significant because they highlight the value of incorporating self-efficacy concepts into training programs and creating encouraging environments to increase teachers' levels of engagement with their jobs. It is essential to prioritize the use of random sampling techniques in future research initiatives in order to generate a sample that is more extensive and applicable to a broader range of situations. Future researchers may explore incorporating qualitative research methodologies to better understand the impact of teacher efficacy by capturing the unique narratives and perspectives of teachers. This approach would provide a complete understanding of the dynamic relationship between teacher efficacy and work engagement

Examining the Factor Structure of the Organizational Commitment Questionnaire in the Vietnamese Educational Context

In contemporary organizational research, organizational commitment has emerged as a crucial concept in comprehending employees' behavior within the workplace, reflecting their identification with an organization and dedication to its objectives. Despite its significance, the existing literature reveals a scarcity of research on this subject within the Vietnamese educational context. Therefore, the primary objective of the current study was to validate the factor structure of the 24-item Organizational Commitment Questionnaire (OCQ) in Vietnam. Both exploratory and confirmatory factor analyses were employed to analyze the data obtained from 706 high school teachers. The results obtained from the factorial analyses strongly support the validity of the three-factor model of the original OCQ, which comprises affective commitment, continuance commitment, and normative commitment. The results include statistical measures such as factor loadings, eigenvalues, and variance explained, indicating how well the observed data align with the proposed three-factor model. This validation is crucial for understanding and measuring organizational commitment within the Vietnamese settings. Educational researchers can rely on these findings to better assess teachers’ commitment within schools. This study suggests further examining the reliability and validity of the OCQ with a wide range of participants among teachers at both elementary and secondary school levels

Validation of the factor structure of the motivated strategies for learning questionnaire

In recent years, the motivated strategies for learning questionnaire (MSLQ) has been used to assess students’ motivational orientations and utilization of various learning strategies. Due to its significant effects on student outcomes such as academic performance and careers, research on the factor structure of motivated strategies for learning has received increasing attention. However, the existing literature indicates a dearth of studies focusing on the MSLQ dimensions in Vietnam. Therefore, this study aimed to ascertain the factor structure of the 31-item Student Motivation Scale (SMS), which is a subset of the larger 81-item MSLQ, in the context of Vietnam. The study utilized the Vietnamese version of the SMS to collect data from 317 high school students in Vietnam. The factorial analysis showed that the SMS has its original six-factor structure, which is made up of task value (TV), control beliefs, self-efficacy for learning and performance (SLP), test anxiety (TA), and intrinsic goal orientation (IGO). The present study recommended that school leaders and teachers should use the SMS to assess students’ motivation in the context of Vietnamese education

Research on the dynamics of a heavy mechanized bridge in the deployment phase of the lifting frame

This article presents a dynamic model of the TMM-3M heavy mechanized bridge during the frame lifting stage, which is driven by a hydraulic system, constituting the initial phase of the bridge erection process. The model is constructed as a multi-body dynamic system, taking into account the elastic deformation of the rear outriggers, front tires, and front suspension system. The research model integrates a mechanical system controlled by hydraulic cylinders, with pressure being considered as a variable reacting to external loads during the system's operation. Lagrangian equations of the second kind are utilized to establish a system of differential equations describing the oscillations of the system and form the basis for investigating the dynamics of the frame lifting process. The system of differential equations is solved numerically using MATLAB simulation software based on the Runge-Kutta algorithm. The study has revealed laws regarding the displacement and velocity of components within the system, evaluating the stability of the TMM-3M heavy mechanized bridge during operation. This research paves the way for a comprehensive understanding of the working process of the TMM-3M heavy mechanized bridge, aiming for practical improvements to minimize deployment or retrieval time, reduce the number of deployment team members, enhance the automation of the operation process to reduce the workload for operator

Robust multi-sensor Generalized Labeled Multi-Bernoulli filter

This paper proposes an efficient and robust algorithm to estimate target trajectories with unknown target detection profiles and clutter rates using measurements from multiple sensors. In particular, we propose to combine the multi-sensor Generalized Labeled Multi-Bernoulli (MS-GLMB) filter to estimate target trajectories and robust Cardinalized Probability Hypothesis Density (CPHD) filters to estimate the clutter rates. The target detection probability is augmented to the filtering state space for joint estimation. Experimental results show that the proposed robust filter exhibits near-optimal performance in the sense that it is comparable to the optimal MS-GLMB operating with true clutter rate and detection probability. More importantly, it outperforms other studied filters when the detection profile and clutter rate are unknown and time-variant. This is attributed to the ability of the robust filter to learn the background parameters on-the-fly

Building a Model of Organizational Activities Experience in Natural Sciences under Stem Education Orientation

STEM educational-oriented Natural Science experience activities are learner-oriented activities Taking learners as the center in all natural science research activities applying engineering technology and mathematics STEM in solving practical problems Based on theoretical research on experiential activities STEM education and the characteristics of Natural Sciences the article studies the educational forces inside and outside the school From there it is proposed to build a model of organizational structure for experiential activities in Natural Sciences oriented toward STEM education The results of this research are meaningful in helping principals see the importance and significance of coordinating educational forces inside and outside the school in organizing experiential activities in Natural Sciences according to orientation STEM education for student

Studying the influence of engine speed on the entire process of span-lowering of the heavy mechanized bridge

The paper presents a dynamic model of the TMM-3M heavy mechanized bridge during the span lowering stage. The model is constructed as a multi-body mechanical system, taking into account the elastic deformation of the cable, rear outriggers, front tires, and front suspension system. It is a mechanical model driven by a cable mechanism. Lagrangian equations of the second kind have been applied to establish a system of differential equations describing the oscillations of the mechanical system and serve as the basis for investigating the dynamics of the span-lowering process. The system of differential equations is solved using numerical methods based on MATLAB simulation software. The study has revealed laws of the displacement, velocity, and acceleration of components within the mechanical system, especially those related to the bridge span depending on the choice of the drive speed of the engine during lowering by operator. The research results show that the lowering time increases from 52 seconds to 104 seconds when the engine speed decreases from 1800 rpm to 900 rpm. The tension force on the cable is surveyed to confirm the safety conditions during the span-lowering process. The study also provides recommendations for selecting appropriate engine speeds to minimize span-lowering time while ensuring the safety conditions of the TMM-3M bridge during the span-lowering process. This research is an important part of a comprehensive study on the working process of the heavy mechanized bridge TMM-3M to make practical improvements, aiming to reduce deployment time, decrease the number of deployment crew members, and increase the automation capability of the equipmen

Factors Affecting Banking Policies and Solutions for Banks in Agricultural Development in Vietnam

In this study we will categorize both macro factors and micro factors that affect banking policies in agricultural development in emerging market such as Vietnam. We use qualitative analytical methods including synthesis and inductive methods, together with statistic data analysis. Our study shows results that agricultural development is much affected by macro factors such as GDP growth, land area and inflation and micro factors effects such as advice from experts and hi-tech application. Then, we also present results for bank policies for agricultural development on the country. Last but not least, we believe these findings could be used by banks, companies and borrowers in agriculture

The Smooth Trajectory Estimator for LMB Filters

This paper proposes a smooth-trajectory estimator for the labelled multi-Bernoulli (LMB) filter by exploiting the special structure of the generalised labelled multi-Bernoulli (GLMB) filter. We devise a simple and intuitive approach to store the best association map when approximating the GLMB random finite set (RFS) to the LMB RFS. In particular, we construct a smooth-trajectory estimator (i.e., an estimator over the entire trajectories of labelled estimates) for the LMB filter based on the history of the best association map and all of the measurements up to the current time. Experimental results under two challenging scenarios demonstrate significant tracking accuracy improvements with negligible additional computational time compared to the conventional LMB filter. The source code is publicly available at https://tinyurl.com/ste-lmb, aimed at promoting advancements in MOT algorithms.Comment: 6 pages, 5 figures. Presented at The 12th IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2023), Nov 2023, Hanoi, Vietna