Teaching evaluation on a WebGIS course is a multi-objective nonlinear high-dimensional NP-hard problem. The index system for the teaching evaluation of a WebGIS course, including teacher- and student-oriented sub-syst...Teaching evaluation on a WebGIS course is a multi-objective nonlinear high-dimensional NP-hard problem. The index system for the teaching evaluation of a WebGIS course, including teacher- and student-oriented sub-systems, is first established and used for questionnaires from 2013 to 2017. The multi-objective nonlinear high-dimensional evaluation model is constructed and then solved via dynamic self-adaptive teaching–learning-based optimization (DSATLBO). DSATLBO is based on teaching–learning-based optimization with five improvements: dynamic nonlinear self-adaptive teaching factor, extracurricular tutorship factor, dynamic self-adaptive learning factor, multi-way learning factor, and non-dominated sorting factor. WebGIS teaching performance is fully evaluated based on questionnaires and DSATLBO. Optimal weights and weighted scores from DSATLBO are compared with those from the non-dominated sorting genetic algorithm-II using the Pareto front, coverage to two sets, and spacing of the non-dominated solution sets to validate the performance of DSATLBO. The results show that DSATLBO can be uniformly distributed along the Pareto front. Therefore, DSATLBO can efficiently and feasibly solve the multi-objective nonlinear high-dimensional teaching evaluation model of a WebGIS course. The proposed teaching evaluation method can help reflecting the quality of all aspects of classroom teaching and guide the professional development of students.展开更多
As the Internet of Things(IoT)and mobile devices have rapidly proliferated,their computationally intensive applications have developed into complex,concurrent IoT-based workflows involving multiple interdependent task...As the Internet of Things(IoT)and mobile devices have rapidly proliferated,their computationally intensive applications have developed into complex,concurrent IoT-based workflows involving multiple interdependent tasks.By exploiting its low latency and high bandwidth,mobile edge computing(MEC)has emerged to achieve the high-performance computation offloading of these applications to satisfy the quality-of-service requirements of workflows and devices.In this study,we propose an offloading strategy for IoT-based workflows in a high-performance MEC environment.The proposed task-based offloading strategy consists of an optimization problem that includes task dependency,communication costs,workflow constraints,device energy consumption,and the heterogeneous characteristics of the edge environment.In addition,the optimal placement of workflow tasks is optimized using a discrete teaching learning-based optimization(DTLBO)metaheuristic.Extensive experimental evaluations demonstrate that the proposed offloading strategy is effective at minimizing the energy consumption of mobile devices and reducing the execution times of workflows compared to offloading strategies using different metaheuristics,including particle swarm optimization and ant colony optimization.展开更多
Due to the NP-hardness of the two-sided assembly line balancing (TALB) problem, multiple constraints existing in real applications are less studied, especially when one task is involved with several constraints. In ...Due to the NP-hardness of the two-sided assembly line balancing (TALB) problem, multiple constraints existing in real applications are less studied, especially when one task is involved with several constraints. In this paper, an effective hybrid algorithm is proposed to address the TALB problem with multiple constraints (TALB-MC). Considering the discrete attribute of TALB-MC and the continuous attribute of the standard teaching-learning-based optimization (TLBO) algorithm, the random-keys method is hired in task permutation representation, for the purpose of bridging the gap between them. Subsequently, a special mechanism for handling multiple constraints is developed. In the mechanism, the directions constraint of each task is ensured by the direction check and adjustment. The zoning constraints and the synchronism constraints are satisfied by teasing out the hidden correlations among constraints. The positional constraint is allowed to be violated to some extent in decoding and punished in cost fimction. Finally, with the TLBO seeking for the global optimum, the variable neighborhood search (VNS) is further hybridized to extend the local search space. The experimental results show that the proposed hybrid algorithm outperforms the late acceptance hill-climbing algorithm (LAHC) for TALB-MC in most cases, especially for large-size problems with multiple constraints, and demonstrates well balance between the exploration and the exploitation. This research proposes an effective and efficient algorithm for solving TALB-MC problem by hybridizing the TLBO and VNS.展开更多
With the advancement of digital technology,new technologies such as artificial intelligence,big data,and cloud computing have gradually permeated higher education,leading to fundamental changes in teaching and learnin...With the advancement of digital technology,new technologies such as artificial intelligence,big data,and cloud computing have gradually permeated higher education,leading to fundamental changes in teaching and learning methods.Therefore,in the process of reforming and developing higher education,it is essential to take digital technology empowering the optimization of the education industry as a breakthrough,focusing on five key areas:the construction of smart classrooms,the digital integration of teaching resources,the development of personalized learning support systems,the reform of online-offline hybrid teaching,and the intelligentization of educational management.This paper also examines the experiences,challenges,and shortcomings of typical universities in using digital technology to improve teaching quality,optimize resource allocation,and innovate teaching management models.Finally,corresponding countermeasures and suggestions are proposed to facilitate the smooth implementation of digital transformation in higher education institutions.展开更多
With the rising global demand for energy and growing awareness of environmental sustainability,hydrogen energy has emerged as a promising clean and efficient alternative.Supported by national policies,both basic and a...With the rising global demand for energy and growing awareness of environmental sustainability,hydrogen energy has emerged as a promising clean and efficient alternative.Supported by national policies,both basic and applied research in hydrogen and hydrogen energy have seen significant advancements in recent years.Reflecting these developments,the teaching of“hydrogen element and hydrogen energy”in college level inorganic chemistry has gradually expanded.In the context of the new era,there is an urgent need to reform and enrich this teaching content to cultivate students’comprehensive abilities and align with the country’s evolving demand for talent in the energy sector.This paper analyzes current challenges in the teaching of hydrogen energy within college chemistry curricula and proposes targeted strategies to optimize instructional content.The goal is to offer practical insights and references for educators seeking to improve the effectiveness and relevance of hydrogen energy education.展开更多
The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the f...The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the framework of sustainable development in renewable energy seeks to give students the information,abilities,and critical thinking needed to solve energy-related problems sustainably.This research proposes AI-powered personalized learning,innovative real-time integration of diverse data,and adaptive teaching strategies to enhance student understanding regarding renewable energy concepts.The sheep flock-optimized innovative recurrent neural network(SFO-IRNN)will recommend relevant topics and resources based on students’performance.Renewable energy teaching data from assessmethments are combined with real-time IoT-based renewable energy data.This dataset contains renewable energy education using AI-driven teaching methods and internet-based learning.The data was preprocessed by handling missing values and min-max scaling.The data features were extracted using Fourier Transform(FT).Further application of 10-fold cross-validation will increase the reliability of the model as it can evaluate its performance metrics like accuracy,F1-score,recall,and precision on different subsets of student data,which improves its robustness and prevents overfitting.The findings showed that the proposed method is significantly better,which ensures that the students have a deeper theoretical and practical understanding of renewable energy technologies.In addition,integrating real-time IoT data from renewable energy sources gives students a chance to do live simulations and problems that would enhance analytical thinking and hands-on learning.The research shows that AI provides context-aware guidance on sustainable energy infrastructure,enhancing interactive and personalized learning.展开更多
The vehicle routing problem(VRP)is a typical discrete combinatorial optimization problem,and many models and algorithms have been proposed to solve the VRP and its variants.Although existing approaches have contribute...The vehicle routing problem(VRP)is a typical discrete combinatorial optimization problem,and many models and algorithms have been proposed to solve the VRP and its variants.Although existing approaches have contributed significantly to the development of this field,these approaches either are limited in problem size or need manual intervention in choosing parameters.To solve these difficulties,many studies have considered learning-based optimization(LBO)algorithms to solve the VRP.This paper reviews recent advances in this field and divides relevant approaches into end-to-end approaches and step-by-step approaches.We performed a statistical analysis of the reviewed articles from various aspects and designed three experiments to evaluate the performance of four representative LBO algorithms.Finally,we conclude the applicable types of problems for different LBO algorithms and suggest directions in which researchers can improve LBO algorithms.展开更多
A binocular stereovision system with a linear laser emitter is developed to detect seam position and its orientation, employing acquired 3-dimensional seam data, the automatic teaching of welding robot is implemented ...A binocular stereovision system with a linear laser emitter is developed to detect seam position and its orientation, employing acquired 3-dimensional seam data, the automatic teaching of welding robot is implemented using a controlling strategy based on ant colony optimization( ACO ) algorithm, in which the angle increment of robot joint is discretized as the nodes of ACO graph and a corresponding pheromone updating strategy is presented. The experimental results for curvilinear seams and saddle-shaped seams show that the automatic teaching of welding robot can be successfully completed using the ACO-based controlling strategy under the guidance of stereovision, and the welding trajectory generated by the proposed method has higher accuracy and less setting time compared with conventional proportional-integral-differential (PID) controller and fuzzy controller.展开更多
According to the requirements of College English Teaching Guide,together with the freshmen’s majors and the actual English level in SASU(Sichuan University of Arts and Science),College English stratified teaching has...According to the requirements of College English Teaching Guide,together with the freshmen’s majors and the actual English level in SASU(Sichuan University of Arts and Science),College English stratified teaching has been implemented in SASU since 2016.In order to completely master the teaching effect of the stratified teaching in the past four years,a questionnaire survey on College English learners has been carried out.On the basis of the feedback report and the teaching principles of College English under the network environment,this paper puts forward the optimization strategies and rectification suggestions.展开更多
more and more people recognize the speed and level of development of a university depends not only on the level of the school of thought and teacher but also on the laboratory construction and management level. Over t...more and more people recognize the speed and level of development of a university depends not only on the level of the school of thought and teacher but also on the laboratory construction and management level. Over the years many famous scholars and experts from many aspects and multidimensional perspective discusses the role and importance of laboratory work and practice of education and teaching, practice shows that: the degree of awareness and attention to a university laboratory construction and practice teaching in a sense reflects the understanding of the university personnel training and higher education. In the past, "focus on the theory and lighten the practice," the idea has far-reaching impact, now we want to change old ideas; this is because in today' s quality education, construction, laboratory and practical education reform teaching content and methods are a part of education reform. We attach great importance to the English school laboratory building. In the new campus, the school has invested heavily to build five advanced equipment, it is a leading English Autonomous Learning Center. Independent Learning Centre is to stimulate students 'interest in learning, develop students' ability to multi-faceted, full use modern teaching equipment to improve English skills platform of independent centers of learning effect.展开更多
The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hie...The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hierarchical optimization problems in teaching computer courses in colleges and universities, and in-depth analyzes the basic content and implementation strategies of module level teaching.展开更多
With the improvement of the quality education in our country, the teaching reform of college English teaching has been carried out. In the college English teaching system, we need the network-based autonomous teaching...With the improvement of the quality education in our country, the teaching reform of college English teaching has been carried out. In the college English teaching system, we need the network-based autonomous teaching mode, and effective evaluation system of English teaching is also necessary. A complete set of teaching evaluation system can truly reffect the teaching effect, and can promote the optimization of teaching activities as well. Therefore, in order to realize the effectiveness of English teaching and to expand the diversifi ed teaching mode, we need to build a complete set of English language system. Classroom teaching evaluation is one of the effective means to improve the teaching efficiency, which reffects the characteristics of college English courses. After the digitalization of the teaching methods, the network information produced in the teaching and management has obvious characteristics of large data. The optimized evaluation system of college English classroom teaching has realized the diversifi cation of evaluation subjects.展开更多
With the continuous development of network technology, the related educational work is also in constant innovation,the Internet technology has been gradually used in teaching,which has increased the diversity of teach...With the continuous development of network technology, the related educational work is also in constant innovation,the Internet technology has been gradually used in teaching,which has increased the diversity of teaching,higher vocational English is no exception.Higher vocational education pays more attention to the cultivation of students' practical ability. English,as a language with strong application,needs to be adapted to the development of society in the process of learning.In the "Internet plus" era,in the process of higher vocational English teaching teachers should carry out a comprehensive innovation to teaching methods,combine education with the Internet, improve the adaptability of English teaching of times,improve the practical ability and application ability of students majoring in English,create good conditions for the improvement of the overall quality of English in Higher Vocational colleges.This paper focuses on the research of the method of optimization of higher vocational English teaching in the" Internet plus" era.展开更多
Taking the construction of new liberal arts as a background,this paper proposes that the international economy and trade major should optimize the teaching system and personnel training mechanism by adding the new cro...Taking the construction of new liberal arts as a background,this paper proposes that the international economy and trade major should optimize the teaching system and personnel training mechanism by adding the new cross-border e-commerce direction.This paper highlights the development path of high-quality international economy and trade professional training,and further ensures the first-class talent training and first-class professional construction specialty.展开更多
In the new period, the physical education in colleges and universities is of greater and greater significance for the enhancement of students' learning efficiency. In this paper, the current situation of the current ...In the new period, the physical education in colleges and universities is of greater and greater significance for the enhancement of students' learning efficiency. In this paper, the current situation of the current physical education is analyzed, and also related suggestions on the optimization of the P.E. course teaching plan are proposed.展开更多
In primary Chinese teaching, the most important teaching content is reading teaching. Reading teaching is not only the key point in teaching, but also the difficult point in teaching. To train students to form scienti...In primary Chinese teaching, the most important teaching content is reading teaching. Reading teaching is not only the key point in teaching, but also the difficult point in teaching. To train students to form scientific reading methods is one of the most important contents in Chinese teaching in primary schools. The formation of scientific reading method can help students improve their thinking ability and expand their knowledge system. Reading teaching effect is very important. So in the teaching, primary school Chinese teachers need to constantly optimize their own teaching strategies. This paper analyzes and optimizes the strategies in the light of the current situation in the teaching of reading.展开更多
Blended teaching has emerged as a prominent subject in the recent reform and innovation of higher education.It has become imperative and guiding for colleges and universities to embrace a mixed teaching approach that ...Blended teaching has emerged as a prominent subject in the recent reform and innovation of higher education.It has become imperative and guiding for colleges and universities to embrace a mixed teaching approach that aligns with the evolving needs of education and teaching in the new era.This paper aims to provide a comprehensive overview of the research status surrounding blended teaching,encompassing fundamental issues,teaching design,practical guidance,teaching effectiveness,and evaluation.By critically examining the current challenges associated with blended teaching,this study proposes optimization strategies including enhancing student participation and interaction,promoting deep learning,improving teachers’preparedness,teaching technologies,and curriculum design capabilities,strengthening top-level design,and perfecting evaluation and incentive mechanisms.These strategies provide new directions for the reform of blended teaching.展开更多
The optimization of questioning methods in primary Chinese classroom teaching is the result of deepening the concept of quality education. Primary Chinese education needs to improve students' comprehensive ability...The optimization of questioning methods in primary Chinese classroom teaching is the result of deepening the concept of quality education. Primary Chinese education needs to improve students' comprehensive ability, and the core quality of Chinese proposes that teachers should optimize questioning strategies in primary Chinese classroom. This paper attempts to explore how to motivate primary school students' Chinese learning enthusiasm. In order to achieve high-quality Chinese question asking effect, teachers can effectively mobilize students' learning thinking by using a variety of questioning methods, so as to enhance the autonomy and enthusiasm of Chinese learning.展开更多
The rise of new media network has promoted the development of education and gradually spread the teaching mode of flipped classroom in colleges and universities. Based on the analysis of the present situation of the f...The rise of new media network has promoted the development of education and gradually spread the teaching mode of flipped classroom in colleges and universities. Based on the analysis of the present situation of the flipped classroom teaching mode in colleges and universities, this paper finds out some problems existing in the current flipped classroom teaching mode, and puts forward some optimization strategies, such as integrating network resources, guiding students to study independently, strengthening teaching management, and carrying out real-time teaching quality inspection, etc., hoping to play a role in the optimization and improvement of the flipped classroom teaching mode in colleges and universities.展开更多
In the process of primary school mathematics teaching, the applied problem is a difficult problem faced by students. Under the guidance of the concept of quality education, primary school mathematics teaching activiti...In the process of primary school mathematics teaching, the applied problem is a difficult problem faced by students. Under the guidance of the concept of quality education, primary school mathematics teaching activities should need to cultivate students' practical ability of mathematical knowledge, which is mainly reflected in the practice of applied questions. At present, there are two different differences in the math applied questions learning, some students can skillfully answer the applied questions skillfully, and get good results in the math examination. However, for some students, the answer of math applied questions is very difficult, directly affecting the students' math performance. The main reason for the differentiation is that there are some problems in the current teaching practice of primary school mathematics applied problem, which directly affect the applied problem teaching effect and the classroom teaching quality. This paper takes the problems existing in the current primary school applied problem teaching practice as the starting point, combined with students 'actual learning rules of students, and puts forward the paths of primary school mathematics applied problem teaching, so as to achieve the new curriculum reform goal of comprehensively improving students' ability of applied problem solving ability.展开更多
基金Project(41661026)supported by the National Natural Science Foundation of ChinaProject supported by the Fund for the Construction of Western-China First-class Specialty of Ningxia University,China
文摘Teaching evaluation on a WebGIS course is a multi-objective nonlinear high-dimensional NP-hard problem. The index system for the teaching evaluation of a WebGIS course, including teacher- and student-oriented sub-systems, is first established and used for questionnaires from 2013 to 2017. The multi-objective nonlinear high-dimensional evaluation model is constructed and then solved via dynamic self-adaptive teaching–learning-based optimization (DSATLBO). DSATLBO is based on teaching–learning-based optimization with five improvements: dynamic nonlinear self-adaptive teaching factor, extracurricular tutorship factor, dynamic self-adaptive learning factor, multi-way learning factor, and non-dominated sorting factor. WebGIS teaching performance is fully evaluated based on questionnaires and DSATLBO. Optimal weights and weighted scores from DSATLBO are compared with those from the non-dominated sorting genetic algorithm-II using the Pareto front, coverage to two sets, and spacing of the non-dominated solution sets to validate the performance of DSATLBO. The results show that DSATLBO can be uniformly distributed along the Pareto front. Therefore, DSATLBO can efficiently and feasibly solve the multi-objective nonlinear high-dimensional teaching evaluation model of a WebGIS course. The proposed teaching evaluation method can help reflecting the quality of all aspects of classroom teaching and guide the professional development of students.
文摘As the Internet of Things(IoT)and mobile devices have rapidly proliferated,their computationally intensive applications have developed into complex,concurrent IoT-based workflows involving multiple interdependent tasks.By exploiting its low latency and high bandwidth,mobile edge computing(MEC)has emerged to achieve the high-performance computation offloading of these applications to satisfy the quality-of-service requirements of workflows and devices.In this study,we propose an offloading strategy for IoT-based workflows in a high-performance MEC environment.The proposed task-based offloading strategy consists of an optimization problem that includes task dependency,communication costs,workflow constraints,device energy consumption,and the heterogeneous characteristics of the edge environment.In addition,the optimal placement of workflow tasks is optimized using a discrete teaching learning-based optimization(DTLBO)metaheuristic.Extensive experimental evaluations demonstrate that the proposed offloading strategy is effective at minimizing the energy consumption of mobile devices and reducing the execution times of workflows compared to offloading strategies using different metaheuristics,including particle swarm optimization and ant colony optimization.
基金Supported by National Natural Science Foundation of China(Grant Nos.51275366,50875190,51305311)Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No.20134219110002)
文摘Due to the NP-hardness of the two-sided assembly line balancing (TALB) problem, multiple constraints existing in real applications are less studied, especially when one task is involved with several constraints. In this paper, an effective hybrid algorithm is proposed to address the TALB problem with multiple constraints (TALB-MC). Considering the discrete attribute of TALB-MC and the continuous attribute of the standard teaching-learning-based optimization (TLBO) algorithm, the random-keys method is hired in task permutation representation, for the purpose of bridging the gap between them. Subsequently, a special mechanism for handling multiple constraints is developed. In the mechanism, the directions constraint of each task is ensured by the direction check and adjustment. The zoning constraints and the synchronism constraints are satisfied by teasing out the hidden correlations among constraints. The positional constraint is allowed to be violated to some extent in decoding and punished in cost fimction. Finally, with the TLBO seeking for the global optimum, the variable neighborhood search (VNS) is further hybridized to extend the local search space. The experimental results show that the proposed hybrid algorithm outperforms the late acceptance hill-climbing algorithm (LAHC) for TALB-MC in most cases, especially for large-size problems with multiple constraints, and demonstrates well balance between the exploration and the exploitation. This research proposes an effective and efficient algorithm for solving TALB-MC problem by hybridizing the TLBO and VNS.
文摘With the advancement of digital technology,new technologies such as artificial intelligence,big data,and cloud computing have gradually permeated higher education,leading to fundamental changes in teaching and learning methods.Therefore,in the process of reforming and developing higher education,it is essential to take digital technology empowering the optimization of the education industry as a breakthrough,focusing on five key areas:the construction of smart classrooms,the digital integration of teaching resources,the development of personalized learning support systems,the reform of online-offline hybrid teaching,and the intelligentization of educational management.This paper also examines the experiences,challenges,and shortcomings of typical universities in using digital technology to improve teaching quality,optimize resource allocation,and innovate teaching management models.Finally,corresponding countermeasures and suggestions are proposed to facilitate the smooth implementation of digital transformation in higher education institutions.
文摘With the rising global demand for energy and growing awareness of environmental sustainability,hydrogen energy has emerged as a promising clean and efficient alternative.Supported by national policies,both basic and applied research in hydrogen and hydrogen energy have seen significant advancements in recent years.Reflecting these developments,the teaching of“hydrogen element and hydrogen energy”in college level inorganic chemistry has gradually expanded.In the context of the new era,there is an urgent need to reform and enrich this teaching content to cultivate students’comprehensive abilities and align with the country’s evolving demand for talent in the energy sector.This paper analyzes current challenges in the teaching of hydrogen energy within college chemistry curricula and proposes targeted strategies to optimize instructional content.The goal is to offer practical insights and references for educators seeking to improve the effectiveness and relevance of hydrogen energy education.
文摘The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the framework of sustainable development in renewable energy seeks to give students the information,abilities,and critical thinking needed to solve energy-related problems sustainably.This research proposes AI-powered personalized learning,innovative real-time integration of diverse data,and adaptive teaching strategies to enhance student understanding regarding renewable energy concepts.The sheep flock-optimized innovative recurrent neural network(SFO-IRNN)will recommend relevant topics and resources based on students’performance.Renewable energy teaching data from assessmethments are combined with real-time IoT-based renewable energy data.This dataset contains renewable energy education using AI-driven teaching methods and internet-based learning.The data was preprocessed by handling missing values and min-max scaling.The data features were extracted using Fourier Transform(FT).Further application of 10-fold cross-validation will increase the reliability of the model as it can evaluate its performance metrics like accuracy,F1-score,recall,and precision on different subsets of student data,which improves its robustness and prevents overfitting.The findings showed that the proposed method is significantly better,which ensures that the students have a deeper theoretical and practical understanding of renewable energy technologies.In addition,integrating real-time IoT data from renewable energy sources gives students a chance to do live simulations and problems that would enhance analytical thinking and hands-on learning.The research shows that AI provides context-aware guidance on sustainable energy infrastructure,enhancing interactive and personalized learning.
文摘The vehicle routing problem(VRP)is a typical discrete combinatorial optimization problem,and many models and algorithms have been proposed to solve the VRP and its variants.Although existing approaches have contributed significantly to the development of this field,these approaches either are limited in problem size or need manual intervention in choosing parameters.To solve these difficulties,many studies have considered learning-based optimization(LBO)algorithms to solve the VRP.This paper reviews recent advances in this field and divides relevant approaches into end-to-end approaches and step-by-step approaches.We performed a statistical analysis of the reviewed articles from various aspects and designed three experiments to evaluate the performance of four representative LBO algorithms.Finally,we conclude the applicable types of problems for different LBO algorithms and suggest directions in which researchers can improve LBO algorithms.
文摘A binocular stereovision system with a linear laser emitter is developed to detect seam position and its orientation, employing acquired 3-dimensional seam data, the automatic teaching of welding robot is implemented using a controlling strategy based on ant colony optimization( ACO ) algorithm, in which the angle increment of robot joint is discretized as the nodes of ACO graph and a corresponding pheromone updating strategy is presented. The experimental results for curvilinear seams and saddle-shaped seams show that the automatic teaching of welding robot can be successfully completed using the ACO-based controlling strategy under the guidance of stereovision, and the welding trajectory generated by the proposed method has higher accuracy and less setting time compared with conventional proportional-integral-differential (PID) controller and fuzzy controller.
基金This work was supported by Sichuan University of Arts and Science(2020JY023).
文摘According to the requirements of College English Teaching Guide,together with the freshmen’s majors and the actual English level in SASU(Sichuan University of Arts and Science),College English stratified teaching has been implemented in SASU since 2016.In order to completely master the teaching effect of the stratified teaching in the past four years,a questionnaire survey on College English learners has been carried out.On the basis of the feedback report and the teaching principles of College English under the network environment,this paper puts forward the optimization strategies and rectification suggestions.
文摘more and more people recognize the speed and level of development of a university depends not only on the level of the school of thought and teacher but also on the laboratory construction and management level. Over the years many famous scholars and experts from many aspects and multidimensional perspective discusses the role and importance of laboratory work and practice of education and teaching, practice shows that: the degree of awareness and attention to a university laboratory construction and practice teaching in a sense reflects the understanding of the university personnel training and higher education. In the past, "focus on the theory and lighten the practice," the idea has far-reaching impact, now we want to change old ideas; this is because in today' s quality education, construction, laboratory and practical education reform teaching content and methods are a part of education reform. We attach great importance to the English school laboratory building. In the new campus, the school has invested heavily to build five advanced equipment, it is a leading English Autonomous Learning Center. Independent Learning Centre is to stimulate students 'interest in learning, develop students' ability to multi-faceted, full use modern teaching equipment to improve English skills platform of independent centers of learning effect.
文摘The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hierarchical optimization problems in teaching computer courses in colleges and universities, and in-depth analyzes the basic content and implementation strategies of module level teaching.
文摘With the improvement of the quality education in our country, the teaching reform of college English teaching has been carried out. In the college English teaching system, we need the network-based autonomous teaching mode, and effective evaluation system of English teaching is also necessary. A complete set of teaching evaluation system can truly reffect the teaching effect, and can promote the optimization of teaching activities as well. Therefore, in order to realize the effectiveness of English teaching and to expand the diversifi ed teaching mode, we need to build a complete set of English language system. Classroom teaching evaluation is one of the effective means to improve the teaching efficiency, which reffects the characteristics of college English courses. After the digitalization of the teaching methods, the network information produced in the teaching and management has obvious characteristics of large data. The optimized evaluation system of college English classroom teaching has realized the diversifi cation of evaluation subjects.
文摘With the continuous development of network technology, the related educational work is also in constant innovation,the Internet technology has been gradually used in teaching,which has increased the diversity of teaching,higher vocational English is no exception.Higher vocational education pays more attention to the cultivation of students' practical ability. English,as a language with strong application,needs to be adapted to the development of society in the process of learning.In the "Internet plus" era,in the process of higher vocational English teaching teachers should carry out a comprehensive innovation to teaching methods,combine education with the Internet, improve the adaptability of English teaching of times,improve the practical ability and application ability of students majoring in English,create good conditions for the improvement of the overall quality of English in Higher Vocational colleges.This paper focuses on the research of the method of optimization of higher vocational English teaching in the" Internet plus" era.
基金supported by Laboratory construction project of Shandong University of Technology"Cross border e-commerce B2C platform product operation simulation experiment construction"(2020018).
文摘Taking the construction of new liberal arts as a background,this paper proposes that the international economy and trade major should optimize the teaching system and personnel training mechanism by adding the new cross-border e-commerce direction.This paper highlights the development path of high-quality international economy and trade professional training,and further ensures the first-class talent training and first-class professional construction specialty.
文摘In the new period, the physical education in colleges and universities is of greater and greater significance for the enhancement of students' learning efficiency. In this paper, the current situation of the current physical education is analyzed, and also related suggestions on the optimization of the P.E. course teaching plan are proposed.
文摘In primary Chinese teaching, the most important teaching content is reading teaching. Reading teaching is not only the key point in teaching, but also the difficult point in teaching. To train students to form scientific reading methods is one of the most important contents in Chinese teaching in primary schools. The formation of scientific reading method can help students improve their thinking ability and expand their knowledge system. Reading teaching effect is very important. So in the teaching, primary school Chinese teachers need to constantly optimize their own teaching strategies. This paper analyzes and optimizes the strategies in the light of the current situation in the teaching of reading.
基金The 2020 Guangxi Higher Education Undergraduate Teaching Reform Project“Research and Practice of Blended Course Evaluation System Based on College Students’Learning Effect”(Project number:2020JGZ116)。
文摘Blended teaching has emerged as a prominent subject in the recent reform and innovation of higher education.It has become imperative and guiding for colleges and universities to embrace a mixed teaching approach that aligns with the evolving needs of education and teaching in the new era.This paper aims to provide a comprehensive overview of the research status surrounding blended teaching,encompassing fundamental issues,teaching design,practical guidance,teaching effectiveness,and evaluation.By critically examining the current challenges associated with blended teaching,this study proposes optimization strategies including enhancing student participation and interaction,promoting deep learning,improving teachers’preparedness,teaching technologies,and curriculum design capabilities,strengthening top-level design,and perfecting evaluation and incentive mechanisms.These strategies provide new directions for the reform of blended teaching.
文摘The optimization of questioning methods in primary Chinese classroom teaching is the result of deepening the concept of quality education. Primary Chinese education needs to improve students' comprehensive ability, and the core quality of Chinese proposes that teachers should optimize questioning strategies in primary Chinese classroom. This paper attempts to explore how to motivate primary school students' Chinese learning enthusiasm. In order to achieve high-quality Chinese question asking effect, teachers can effectively mobilize students' learning thinking by using a variety of questioning methods, so as to enhance the autonomy and enthusiasm of Chinese learning.
文摘The rise of new media network has promoted the development of education and gradually spread the teaching mode of flipped classroom in colleges and universities. Based on the analysis of the present situation of the flipped classroom teaching mode in colleges and universities, this paper finds out some problems existing in the current flipped classroom teaching mode, and puts forward some optimization strategies, such as integrating network resources, guiding students to study independently, strengthening teaching management, and carrying out real-time teaching quality inspection, etc., hoping to play a role in the optimization and improvement of the flipped classroom teaching mode in colleges and universities.
文摘In the process of primary school mathematics teaching, the applied problem is a difficult problem faced by students. Under the guidance of the concept of quality education, primary school mathematics teaching activities should need to cultivate students' practical ability of mathematical knowledge, which is mainly reflected in the practice of applied questions. At present, there are two different differences in the math applied questions learning, some students can skillfully answer the applied questions skillfully, and get good results in the math examination. However, for some students, the answer of math applied questions is very difficult, directly affecting the students' math performance. The main reason for the differentiation is that there are some problems in the current teaching practice of primary school mathematics applied problem, which directly affect the applied problem teaching effect and the classroom teaching quality. This paper takes the problems existing in the current primary school applied problem teaching practice as the starting point, combined with students 'actual learning rules of students, and puts forward the paths of primary school mathematics applied problem teaching, so as to achieve the new curriculum reform goal of comprehensively improving students' ability of applied problem solving ability.