Fuzzy processing system for psychological pressure of English teachers at work based on analysis of online teaching video

2021 ◽  
pp. 1-10
Author(s):  
Zheng Jin
Keyword(s):  
Expert System ◽  
Psychological Health ◽  
Online Teaching ◽  
Evaluation Model ◽  
Processing System ◽  
English Teachers ◽  
Knowledge Representation And Reasoning ◽  
Health Evaluation ◽  
Fast Pace ◽  
Psychological Pressure

Due to the fast pace of modern online English teaching and the complicated teaching relationship, English teachers face increasing pressure in teaching work, which easily leads to various psychological problems. In view of this, based on theoretical results and expert experience in the field of psychological pressure of English teachers, this paper uses fuzzy processing systems and fuzzy weighted logic inference theory to establish a knowledge base in the field of psychological health and an evaluation model for psychological pressure of English teachers. Moreover, this paper carries out knowledge representation and reasoning on the knowledge of psychological health theory, and applies the evaluation reasoning model to the expert system of psychological health evaluation of English teachers to finally design and realize the expert system of psychological health evaluation of English teachers based on fuzzy weighted logic. Finally, this paper designs experiments to verify the system performance. The research results show that the system’s data processing speed and the accuracy of the evaluation results of psychological stress of English teachers meet the actual needs.

scholarly journals The Study of Crew Physical and Psychological Evaluation and Sports Intervention Expert System

2012 ◽  
Vol 6-7 ◽  
pp. 1051-1054
Author(s):  
Guo Qing Li ◽  
Bin Zhang
Keyword(s):  
Neural Network ◽  
Health Status ◽  
Expert System ◽  
Psychological Health ◽  
Evaluation Model ◽  
Research Work ◽  
Practical Significance ◽  
Health Evaluation ◽  
Work Efficiency ◽  
Physical And Psychological Health

The crew health evaluation model based on probability neural network and the sports items intervention expert system established in the paper. The system can track and guide n the crew physical and psychological health status at sea in real time. The research work has important practical significance and great practical value, which may enhance the crew physical and psychological health, improve work efficiency, promote the harmony and stability of the ship small environment, maintain the normal life order and ensure safety at sea.

scholarly journals COVID-19: exploring impacts of the pandemic and lockdown on mental health of Pakistani students

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10612
Author(s):  
Gul Muhammad Baloch ◽  
Sheela Sundarasen ◽  
Karuthan Chinna ◽  
Mohammad Nurunnabi ◽  
Kamilah Kamaludin ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychological Health ◽  
Online Teaching ◽  
Male Student ◽  
Social Institutions ◽  
Well Being ◽  
Educational Institutions ◽  
Higher Educational Institutions ◽  
College And University ◽  
Higher Educational

Background As of the present, the twenty-first century is experiencing what may be one of its most devastating events, in respect to infected and dead people by the virus. Now known to the world as COVID-19, the devastating disease of what has become a pandemic started its spread from Wuhan, China and swiftly engulfed the whole world with almost 11 million cases, in a span of around six months. It has not only increased the global burden of disease but has heavily dented many social institutions, including education. Methods This study investigates how the COVID-19 pandemic and subsequent measures of lockdown, quarantine, and social distancing have affected students. We look specifically into the effects on individuals’ mental health, that is, the stress and anxiety levels of college and university students using the Zung Self-rating Anxiety Scale (SAS). Results Among 494 respondents, 61% were females, and the majority (77.3%) of the students were in the age group of 19–25 years. Among the respondents, 125 (25.3%), 45 (9.1%) and 34 (6.9%) experienced minimal to moderate, severe, and most extreme levels of anxiety, respectively. The variables of gender, age and year of study were significant at the 0.25 level by univariate analyses. Nevertheless, the ordinal regression indicates that only gender was significant. The odds of a female student being more anxious are higher compared to a male student (OR = 1.779, 95% CI [1.202–2.634], P = 0.004). The most prominent stressors attained from the qualitative feedback from the Pakistani students are associated with online teaching, concerns about their academic performance and completion of the current semester, uncertainty related to exam dates, and the status of the following semester. Conclusions This study will add to the existing body of literature on the impacts of the COVID-19 pandemic on the social and psychological health of students. The study outcomes will provide basic data for further applied and action research and a framework for universities and policy makers in Pakistan and the neighboring countries in the region with the same cultural contexts. Thus, relevant health interventions can be designed for better mental health and educational attainments of students from higher educational institutions. This pathological pandemic may well lead to another pandemic of mental and behavioral illness. All stakeholders should join force regardless of pre-existing differences and inequalities to ensure the well-being of future generations, specifically students from higher educational institutions. The long-lasting impacts and the aftermath of this pandemic will unquestionably need further and future investigations. Keywords: Anxiety, students, mental health, COVID-19, Pakistan

scholarly journals THE CHALLENGES OF ENGLISH TEACHERS IN REMOTE AREAS TOWARD ONLINE LEARNING DURING COVID-19 PANDEMIC

2021 ◽  
Vol 4 (4) ◽  
pp. 728
Author(s):  
Niely Fawaidah Virgin ◽  
Imam Qalyubi ◽  
Zaitun Qamariah
Keyword(s):  
Qualitative Research ◽  
Online Learning ◽  
Online Teaching ◽  
Interactive Media ◽  
English Teachers ◽  
Additional Time ◽  
Teaching Online ◽  
Remote Areas ◽  
Financial Condition ◽  
Teaching Learning

This study aimed at investigating the challenges and  identifying the way the English teachers solve the challenges toward online teaching during Covid-19 pandemic. This study was qualitative research. Three instruments were used to collect the data, those are: open-ended questionnaire, interview and documentation. As a result, this study showed that there were eight challenges experienced by the English teachers in remote areas toward online teaching during Covid-19 pandemic, those are: (1) inadequate infrastructure; (2) student’s learning attention; (3) financial condition; (4) students readiness; (5) parent’s concern; (6) designing materials; (7) measuring student’s understanding, and (8) the instability of student’s motivation. During teaching-learning process, there were various ways in overcoming the challenges done by the English teachers, those are: (1) create an interactive media; (2) decide the most suitable online learning tool; (3) give additional time for the students; (4) provide adequate facilities for both teacher and student in remote areas. Keywords:  Challenge, Covid-19 Pandemic, English Teaching, Online Learning

The Application of Fuzzy Comprehensive Evaluation Model in the Teaching Evaluation System

2013 ◽  
Vol 303-306 ◽  
pp. 1452-1455 ◽  
Author(s):  
Shu Wen Sun ◽  
Yu Wen Zhai
Keyword(s):  
Evaluation System ◽  
Online Teaching ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Evaluation ◽  
Comprehensive Evaluation Method ◽  
Time Control ◽  
Control Change

According to the subjectivity, randomness and fatigue of the satisfaction selection of online teaching evaluation indicators for the students, the level of teachers teaching can not truly measure by the evaluation results. This paper introduces the fuzzy comprehensive evaluation method to deal with the evaluation data, and Practice has proved that this method produced results more equitable to reflect on teaching level. Which help teachers to promptly improve and improve teaching, the variable quality of teaching time control for process control, change the static management for dynamic management.

scholarly journals Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Luxin Jiang ◽  
Xiaohui Wang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Online Teaching ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Particle Swarm ◽  
Teaching Quality ◽  
Particle Swarm Algorithm ◽  
Bp Model ◽  
Quality Evaluation Model

In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. Firstly, an online teaching quality evaluation system was established by using the analytic hierarchy process to determine the weight of each subsystem and each index in the online teaching quality evaluation system and then combined with actual experience, the risk value of each index was constructed according to safety regulations. The regression model is established through BP neural network, and the weight and threshold of the model are optimized by the particle swarm algorithm. Based on the online teaching quality evaluation model of BP neural network, the parameters of the model are constantly adjusted, the appropriate function is selected, and the particle swarm algorithm which is used in the training and learning process of the neural network is optimized. The scientificity of the questionnaire was verified by reliability and validity test. According to the scoring results and combined with the weight coefficient of each indicator in the online course quality evaluation index system, the key factors affecting the quality of online courses were obtained. Based on the survey data, descriptive statistics, analysis of variance, and Pearson’s correlation coefficient method are used to verify the research hypothesis and obtain valuable empirical results. By comparing the model with the standard BP model, the results show that the accuracy of the PSO-BP model is higher than that of the standard BP model and PSO-BP effectively overcomes the shortcomings of the BP neural network.

Intelligent online teaching system based on SVM algorithm and complex network

2020 ◽  
pp. 1-11
Author(s):  
Chuanxin Fang
Keyword(s):  
Online Teaching ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Research Work ◽  
Principal Component ◽  
Teaching Quality ◽  
Support Vector ◽  
School Teaching ◽  
The Impact ◽  
Quality Evaluation Model

English Online teaching quality evaluation refers to the process of using effective technical means to comprehensively collect, sort and analyze the teaching status and make value judgments to improve teaching activities and improve teaching quality. The research work of this paper is mainly around the design of teaching quality evaluation model based on machine learning theory and has done in-depth research on the preprocessing of evaluation indicators and the construction of support vector machine teaching quality evaluation model. Moreover, this study uses improved principal component analysis to reduce the dimensionality of the evaluation index, thus avoiding the impact of the overly complicated network model on the prediction effect. In addition, in order to verify that the model proposed in this study has more advantages in evaluating teaching quality than other shallow models, the parameters of the model are tuned, and a control experiment is designed to verify the performance of the model. The research results show that this research model has a certain effect on the evaluation of school teaching quality, and it can be applied to practice.

Design of Fault Diagnosis Expert System of Transformer

2013 ◽  
Vol 291-294 ◽  
pp. 2557-2561
Author(s):  
Tao Sun ◽  
Hai Bo Liu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
System Design ◽  
System Of Systems ◽  
Knowledge Representation And Reasoning ◽  
Design Knowledge ◽  
Systems Architecture ◽  
Fault Diagnosis System ◽  
Transformer Fault

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

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