Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00067
Jun Luo, Yulan Yu
Teaching method is the embodiment of the behavior of both teachers and students in teaching activities. Different teaching methods are suitable for different teaching objectives and course contents. The reform and application of teaching methods are the needs of the continuous development of education. The junior college students were the subjects and survey of network questionnaire and field interview were used to evaluate the recognition of students on 11 teaching method in the present study. The results showed that college students' recognition of traditional teaching methods, such as case discussion, teaching and enterprise practice, which were top 3 teaching methods. But the recognition of homework/exercises, talk teaching and systematic training for the whole week came to the bottom. However all the 11 teaching methods did not have significant differences. Different teaching methods all have their merits. The key was that teachers should analyze the learning situation and choose the appropriate teaching methods according to the teaching content and teaching objectives of the course. However, colleges are keen on concentrated practical training, and the teaching mode of offering full-week practical courses, which should arouse great attention. It is necessary to plan and improve students' motivation and interest in full-week practical learning from the perspectives of top-level professional design, careful planning of courses, professional implementation process and effectiveness of result assessment.
{"title":"A Survey on the Recognition of College Students' Learning Motivation by Different Teaching Methods","authors":"Jun Luo, Yulan Yu","doi":"10.1109/CIPAE53742.2021.00067","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00067","url":null,"abstract":"Teaching method is the embodiment of the behavior of both teachers and students in teaching activities. Different teaching methods are suitable for different teaching objectives and course contents. The reform and application of teaching methods are the needs of the continuous development of education. The junior college students were the subjects and survey of network questionnaire and field interview were used to evaluate the recognition of students on 11 teaching method in the present study. The results showed that college students' recognition of traditional teaching methods, such as case discussion, teaching and enterprise practice, which were top 3 teaching methods. But the recognition of homework/exercises, talk teaching and systematic training for the whole week came to the bottom. However all the 11 teaching methods did not have significant differences. Different teaching methods all have their merits. The key was that teachers should analyze the learning situation and choose the appropriate teaching methods according to the teaching content and teaching objectives of the course. However, colleges are keen on concentrated practical training, and the teaching mode of offering full-week practical courses, which should arouse great attention. It is necessary to plan and improve students' motivation and interest in full-week practical learning from the perspectives of top-level professional design, careful planning of courses, professional implementation process and effectiveness of result assessment.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00085
Xiaohua Guo
With the further development of economic globalization, there is an increasing demand for English talents for international communication. Listening plays an important role in foreign language learning and communication. Listening is the most important but also the most difficult part of English language skills, and the study of listening learning strategies has attracted great attention. However, at present, the English listening level of non English majors(NEM) is still unsatisfactory. In view of this situation, more and more scholars begin to pay attention to learners' own factors, such as the influence of learning strategies on listening acquisition. The study finds that the use of learning strategies has a positive role in promoting students' English listening. This paper mainly studies the English Listening Strategies of College NEM Based on artificial intelligence. This paper expounds the process of listening strategies of NEM in Colleges and universities(CAU), and guides the students to use listening strategies before, during and after listening. It also puts forward some effective countermeasures to improve the listening level of NEM. This paper mainly uses questionnaire to study the listening strategies of NEM in CA U. The results show that meta cognitive strategies play a very important role in guiding and regulating foreign language learning. The average score of high score group in topic 1 is 3.48, that of low score group is 2.44, that of high score group is 1.12, and that of low score group is 0.91.
{"title":"The Listening Strategies of Non English Majors in Colleges and Universities Based on Artificial Intelligence","authors":"Xiaohua Guo","doi":"10.1109/CIPAE53742.2021.00085","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00085","url":null,"abstract":"With the further development of economic globalization, there is an increasing demand for English talents for international communication. Listening plays an important role in foreign language learning and communication. Listening is the most important but also the most difficult part of English language skills, and the study of listening learning strategies has attracted great attention. However, at present, the English listening level of non English majors(NEM) is still unsatisfactory. In view of this situation, more and more scholars begin to pay attention to learners' own factors, such as the influence of learning strategies on listening acquisition. The study finds that the use of learning strategies has a positive role in promoting students' English listening. This paper mainly studies the English Listening Strategies of College NEM Based on artificial intelligence. This paper expounds the process of listening strategies of NEM in Colleges and universities(CAU), and guides the students to use listening strategies before, during and after listening. It also puts forward some effective countermeasures to improve the listening level of NEM. This paper mainly uses questionnaire to study the listening strategies of NEM in CA U. The results show that meta cognitive strategies play a very important role in guiding and regulating foreign language learning. The average score of high score group in topic 1 is 3.48, that of low score group is 2.44, that of high score group is 1.12, and that of low score group is 0.91.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00016
Yan Chen
With the continuous advancement of science and technology, network technology has developed rapidly and has penetrated its tentacles into every corner of life. In education technology, the development and application of network education technology and network education platform will not only help improve the teaching level accelerates the reform of the education system, and can make up for the shortcomings of current education. The purpose of this article is to study the reform of the online course teaching of student management in higher vocational colleges. This article firstly analyzes the core technology, database, model architecture, etc. of the network course based on theory, and then results in the current situation of modern network course teaching in our country, to carry out the network course teaching of student management in higher vocational colleges. Applied research, and explored its course teaching reform path. This article systematically expounds the principles, advantages and disadvantages of current online course teaching, and conducts experimental research on the improvement of online course teaching that informs college student management through research methods such as questionnaire surveys and logical analysis. The research shows that the reformed higher vocational colleges Student-managed online courses are more efficient and more feasible.
{"title":"Teaching Reform of Network Courses Aiming at Student Management in Higher Vocational Colleges Based on Information Technology","authors":"Yan Chen","doi":"10.1109/CIPAE53742.2021.00016","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00016","url":null,"abstract":"With the continuous advancement of science and technology, network technology has developed rapidly and has penetrated its tentacles into every corner of life. In education technology, the development and application of network education technology and network education platform will not only help improve the teaching level accelerates the reform of the education system, and can make up for the shortcomings of current education. The purpose of this article is to study the reform of the online course teaching of student management in higher vocational colleges. This article firstly analyzes the core technology, database, model architecture, etc. of the network course based on theory, and then results in the current situation of modern network course teaching in our country, to carry out the network course teaching of student management in higher vocational colleges. Applied research, and explored its course teaching reform path. This article systematically expounds the principles, advantages and disadvantages of current online course teaching, and conducts experimental research on the improvement of online course teaching that informs college student management through research methods such as questionnaire surveys and logical analysis. The research shows that the reformed higher vocational colleges Student-managed online courses are more efficient and more feasible.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114711264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00071
Liangliang Shi
The field of AI is developing rapidly, as is the convergence of AI and educational disciplines. In the field of teacher training in colleges, how to use artificial intelligence, personalized to improve the teaching ability, scientific research ability of teachers in colleges and universities, has become a priority. This study explores how to construct a personalized training model for teachers in colleges Based on artificial intelligence platforms and personalized recommended algorithms, and measures the effectiveness of this model. At a university in China, there are 23 faculty for two-week teacher training based on the “xtangx” AI platform, and the training process makes full use of both the AI platform and AI tools. The evaluation of training effectiveness was analyzed using a combination of qualitative and quantitative analysis. The results showed that: (1) more than 95% of teachers believed that the use of AI platforms, can enhance the training effect. (2) Training was able to meet individualized learning needs with good overall satisfaction. The model provided in this study is meaningful for enhancing the advantages of talents training and scientific research in Colleges and universities, and promoting the application of artificial intelligence technology.
{"title":"Individualized Training Model of College Teachers Based on Artificial Intelligence Platforms: An Empirical Study","authors":"Liangliang Shi","doi":"10.1109/CIPAE53742.2021.00071","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00071","url":null,"abstract":"The field of AI is developing rapidly, as is the convergence of AI and educational disciplines. In the field of teacher training in colleges, how to use artificial intelligence, personalized to improve the teaching ability, scientific research ability of teachers in colleges and universities, has become a priority. This study explores how to construct a personalized training model for teachers in colleges Based on artificial intelligence platforms and personalized recommended algorithms, and measures the effectiveness of this model. At a university in China, there are 23 faculty for two-week teacher training based on the “xtangx” AI platform, and the training process makes full use of both the AI platform and AI tools. The evaluation of training effectiveness was analyzed using a combination of qualitative and quantitative analysis. The results showed that: (1) more than 95% of teachers believed that the use of AI platforms, can enhance the training effect. (2) Training was able to meet individualized learning needs with good overall satisfaction. The model provided in this study is meaningful for enhancing the advantages of talents training and scientific research in Colleges and universities, and promoting the application of artificial intelligence technology.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00015
Jianquan Hu, Yanbo Kong
College counselors are an important part of the faculty of colleges and universities, the backbone of the ideological and political education of college students, and the main force in the work of college students. The 21st century we live in is a highly intelligent era. With the continuous emergence of intelligent computing as a typical technical means in contemporary network technology, the relationship between intelligent computing and people's life and work is getting closer and closer. However, college counselors are also facing many new problems and challenges. Therefore, how to improve the use of intelligent computing and better improve the competence of counselors has become a difficult problem for colleges and universities. Based on this, this article launched a research on the competency training ability of college counselors based on intelligent computing. This article uses behavioral incident interview method, literature analysis method and questionnaire survey method to carry out research. Through interviews with counselors, the competency characteristics of counselors are obtained, and the competency model of counselors is established. By consulting the literature, compiling questionnaires, designing a complete set of questionnaires in line with the research, and issuing questionnaires to 60% of college counselors and teachers to obtain the most authentic data. Collect relevant data through questionnaire surveys, and then enter the collected data into the database for data analysis. By consulting related materials, using publicly published papers and works at home and abroad as references, we can obtain basic theoretical support and background materials, as well as the current status and development level of the research on the competence of counselors. The survey results show that counselors have a strong understanding of work. Generally, 45% are familiar with them, 18% are relatively familiar, and few are very familiar. 40% of counselors think they have average competence. 44 % of counselors voluntarily signed up and wanted to participate in training to improve themselves. 51% of counselors believe that the best time for a training session is half a day. Regarding the training goals, only a small number of instructors have clear training goals. It can be seen that the research on the competence training ability of college counselors is of extremely high value.
{"title":"Competency Training Ability of College Counselors Based on Intelligent Computing","authors":"Jianquan Hu, Yanbo Kong","doi":"10.1109/CIPAE53742.2021.00015","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00015","url":null,"abstract":"College counselors are an important part of the faculty of colleges and universities, the backbone of the ideological and political education of college students, and the main force in the work of college students. The 21st century we live in is a highly intelligent era. With the continuous emergence of intelligent computing as a typical technical means in contemporary network technology, the relationship between intelligent computing and people's life and work is getting closer and closer. However, college counselors are also facing many new problems and challenges. Therefore, how to improve the use of intelligent computing and better improve the competence of counselors has become a difficult problem for colleges and universities. Based on this, this article launched a research on the competency training ability of college counselors based on intelligent computing. This article uses behavioral incident interview method, literature analysis method and questionnaire survey method to carry out research. Through interviews with counselors, the competency characteristics of counselors are obtained, and the competency model of counselors is established. By consulting the literature, compiling questionnaires, designing a complete set of questionnaires in line with the research, and issuing questionnaires to 60% of college counselors and teachers to obtain the most authentic data. Collect relevant data through questionnaire surveys, and then enter the collected data into the database for data analysis. By consulting related materials, using publicly published papers and works at home and abroad as references, we can obtain basic theoretical support and background materials, as well as the current status and development level of the research on the competence of counselors. The survey results show that counselors have a strong understanding of work. Generally, 45% are familiar with them, 18% are relatively familiar, and few are very familiar. 40% of counselors think they have average competence. 44 % of counselors voluntarily signed up and wanted to participate in training to improve themselves. 51% of counselors believe that the best time for a training session is half a day. Regarding the training goals, only a small number of instructors have clear training goals. It can be seen that the research on the competence training ability of college counselors is of extremely high value.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134600332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/cipae53742.2021.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/cipae53742.2021.00003","DOIUrl":"https://doi.org/10.1109/cipae53742.2021.00003","url":null,"abstract":"","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134391370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00046
Ning Ma, Jie Yang
In the development process of security information construction in Colleges and universities, with the popularization of modern Internet, virtualization, intelligence and other information technology, as well as the maturing of digital campus and smart campus planning in the next few years, it will provide the best information technology selection and favorable infrastructure guarantee for the implementation of security monitoring management system in colleges and universities in the new era. The purpose of this paper is to design an intelligent management system for university security through in-depth study of the role of artificial intelligence in university security management so as to improve the ability of university security. This paper mainly applies SOA and J2EE technology, based on SOA and J2EE server and mobile client, aiming at the main hidden dangers of the current campus security, designs and implements a campus security intelligent management system, which includes four functions: daily office, hidden danger management, evaluation management and security information management. Among them, daily office design includes resource sharing, notice and announcement. Hidden danger management design includes hidden danger supervision, hidden danger statistics and uncorrected hidden danger inquiry. Evaluation management includes evaluation score entry, subordinate unit evaluation and annual ranking management. Safety information management includes safety information browsing, safety information query and safety information statistics. Finally, after the system debugging, the error of each module test is 0, the system can achieve the required functions and effectively improve the campus security management.
{"title":"The Application of Artificial Intelligence to Security Management at the Context of Higher Education in China","authors":"Ning Ma, Jie Yang","doi":"10.1109/CIPAE53742.2021.00046","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00046","url":null,"abstract":"In the development process of security information construction in Colleges and universities, with the popularization of modern Internet, virtualization, intelligence and other information technology, as well as the maturing of digital campus and smart campus planning in the next few years, it will provide the best information technology selection and favorable infrastructure guarantee for the implementation of security monitoring management system in colleges and universities in the new era. The purpose of this paper is to design an intelligent management system for university security through in-depth study of the role of artificial intelligence in university security management so as to improve the ability of university security. This paper mainly applies SOA and J2EE technology, based on SOA and J2EE server and mobile client, aiming at the main hidden dangers of the current campus security, designs and implements a campus security intelligent management system, which includes four functions: daily office, hidden danger management, evaluation management and security information management. Among them, daily office design includes resource sharing, notice and announcement. Hidden danger management design includes hidden danger supervision, hidden danger statistics and uncorrected hidden danger inquiry. Evaluation management includes evaluation score entry, subordinate unit evaluation and annual ranking management. Safety information management includes safety information browsing, safety information query and safety information statistics. Finally, after the system debugging, the error of each module test is 0, the system can achieve the required functions and effectively improve the campus security management.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00065
Yijun Zhou
In English teaching in higher vocational colleges, through the effective application of visual information technology, it can effectively improve the teaching content and the pertinence, rich diversity and effectiveness of teaching formation, help students master more suitable learning methods, so as to promote the overall improvement of their English level and professional accomplishment. This paper discusses the application strategy of visual information technology in English information teaching in higher vocational colleges from three stages: before, during and after class.
{"title":"Research on English Informatization Teaching in Higher Vocational Colleges Based on Visual Information Technology","authors":"Yijun Zhou","doi":"10.1109/CIPAE53742.2021.00065","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00065","url":null,"abstract":"In English teaching in higher vocational colleges, through the effective application of visual information technology, it can effectively improve the teaching content and the pertinence, rich diversity and effectiveness of teaching formation, help students master more suitable learning methods, so as to promote the overall improvement of their English level and professional accomplishment. This paper discusses the application strategy of visual information technology in English information teaching in higher vocational colleges from three stages: before, during and after class.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00048
Yumei Li
The rapid rise and wide application of emerging information technologies such as artificial intelligence (AI), big data, cloud computing and Internet of things in the field of education technology, to a large extent, have changed the teaching mode of new engineering courses and rapidly promoted the reform of higher education. In this paper, the case method and logical empirical evaluation method are used to explore the full and flexible application of artificial intelligence technology means combined with new engineering courses, to create a new engineering intelligent class, and to carry out AI transformation, so as to make education and teaching deeply integrated with AI and develop towards intelligent and efficient development, promote blended teaching and build a deep integrated ecological chain, and form an interactive development mode of sustainable innovation and double helix evolution.
{"title":"On the Innovation of Blended Teaching Mode of New Engineering Based on “Artificial Intelligence +”","authors":"Yumei Li","doi":"10.1109/CIPAE53742.2021.00048","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00048","url":null,"abstract":"The rapid rise and wide application of emerging information technologies such as artificial intelligence (AI), big data, cloud computing and Internet of things in the field of education technology, to a large extent, have changed the teaching mode of new engineering courses and rapidly promoted the reform of higher education. In this paper, the case method and logical empirical evaluation method are used to explore the full and flexible application of artificial intelligence technology means combined with new engineering courses, to create a new engineering intelligent class, and to carry out AI transformation, so as to make education and teaching deeply integrated with AI and develop towards intelligent and efficient development, promote blended teaching and build a deep integrated ecological chain, and form an interactive development mode of sustainable innovation and double helix evolution.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1109/CIPAE53742.2021.00049
Wenbin He, Qiang Xu, Xiaoke Li, Yang Cao, Jun Ma, Jinguang Du
Foundation of Machine Manufacturing Technology is an application-oriented course of mechanical specialty. In this course, equal attention to theory and practice should be paid. In order to further improve the teaching effect of the course, a novel teaching mode is proposed in this paper. In this teaching mode, flipped classroom which emphasis on students' autonomous learning ability is introduced. Based on the scientific teaching content and teaching mode design, humanized and fair learning is conducted for students. Furthermore, the problems in this new teaching mode is analyzed. Students' in adaptability, increase of teacher's workload and how to conduct the cooperation of teaching team are the potential problems in this teaching mode. After analyzing the advantages and problems of flipped classroom in the teaching of the Foundation of Machine Manufacturing Technology, methods to improve the quality of teaching are developed.
{"title":"A Novel Teaching Mode in Foundation of Machine Manufacturing Technology Course","authors":"Wenbin He, Qiang Xu, Xiaoke Li, Yang Cao, Jun Ma, Jinguang Du","doi":"10.1109/CIPAE53742.2021.00049","DOIUrl":"https://doi.org/10.1109/CIPAE53742.2021.00049","url":null,"abstract":"Foundation of Machine Manufacturing Technology is an application-oriented course of mechanical specialty. In this course, equal attention to theory and practice should be paid. In order to further improve the teaching effect of the course, a novel teaching mode is proposed in this paper. In this teaching mode, flipped classroom which emphasis on students' autonomous learning ability is introduced. Based on the scientific teaching content and teaching mode design, humanized and fair learning is conducted for students. Furthermore, the problems in this new teaching mode is analyzed. Students' in adaptability, increase of teacher's workload and how to conduct the cooperation of teaching team are the potential problems in this teaching mode. After analyzing the advantages and problems of flipped classroom in the teaching of the Foundation of Machine Manufacturing Technology, methods to improve the quality of teaching are developed.","PeriodicalId":414529,"journal":{"name":"2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129656072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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