Pub Date : 2020-06-01DOI: 10.1109/icaie50891.2020.00001
{"title":"Title Page i","authors":"","doi":"10.1109/icaie50891.2020.00001","DOIUrl":"https://doi.org/10.1109/icaie50891.2020.00001","url":null,"abstract":"","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470718","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00079
L. Hui, Liu Fengyong
It is the trend of university education reform that the construction of online courses is oriented by MOOC. The main form of mixed teaching is taking flipped classroom and the micro video is the main means of MOOC construction. During the process of construction, there are many challenges and opportunities for both learners and instructors. There are many aspects that the educators should think about and improve, such as how to avoid the one-sided evaluation mechanism in construction, how to avoid the abuse of micro video, and how to improve the professional level of instructors.
{"title":"Research and thinking about the construction of online courses","authors":"L. Hui, Liu Fengyong","doi":"10.1109/ICAIE50891.2020.00079","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00079","url":null,"abstract":"It is the trend of university education reform that the construction of online courses is oriented by MOOC. The main form of mixed teaching is taking flipped classroom and the micro video is the main means of MOOC construction. During the process of construction, there are many challenges and opportunities for both learners and instructors. There are many aspects that the educators should think about and improve, such as how to avoid the one-sided evaluation mechanism in construction, how to avoid the abuse of micro video, and how to improve the professional level of instructors.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130208460","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00125
Song Mei, Wenhui Hao, Li Meng
A blended learning environment is established to enhance and promote active learning of college students in English as a foreign language (EFL) class. The language course has been re-designed based on a competence-based framework, and it integrates face-to-face teaching, online learning, and practical activities to personalize learning and to promote student participation in-and-after classes to improve their communicative competence. The paper provides a blended learning and teaching model for a language learning course.
{"title":"Competency into Practice: Establishing a Blended Learning Environment in EFL Classes","authors":"Song Mei, Wenhui Hao, Li Meng","doi":"10.1109/ICAIE50891.2020.00125","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00125","url":null,"abstract":"A blended learning environment is established to enhance and promote active learning of college students in English as a foreign language (EFL) class. The language course has been re-designed based on a competence-based framework, and it integrates face-to-face teaching, online learning, and practical activities to personalize learning and to promote student participation in-and-after classes to improve their communicative competence. The paper provides a blended learning and teaching model for a language learning course.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134547892","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00105
Yi Zheng, Ping Zheng
In order to make undergraduates master a hardware implementation of digital filters, we take the design of a parallel FIR digital low-pass filter as a teaching case, which can present the implementation method of digital filters combining Matlab and a hardware description language together. First, according to the task of the teaching case, the coefficients of FIR digital filter are determined by an FDATool application of Matlab. By normalization and quantization, the filter coefficients and sampled data are both converted from the floating-point data to the fixed-point data. The bit width of valid data bits of FIR filter outputs is determined in accordance with the rule of multiply accumulate operation of FPGAs. Then, we utilize Verilog HDL to implement a fast multiplier and the parallel FIR digital low-pass filter. Finally, we compare the filter outputs of FPGAs with the ones of Matlab, and analyze the reason. The case teaching method, which combines Matlab and FPGAs, is helpful to develop the hardware implementation ability of digital signal processing of undergraduates.
{"title":"Case Teaching of Parallel FIR Digital Filter Design Combined Matlab with FPGAs","authors":"Yi Zheng, Ping Zheng","doi":"10.1109/ICAIE50891.2020.00105","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00105","url":null,"abstract":"In order to make undergraduates master a hardware implementation of digital filters, we take the design of a parallel FIR digital low-pass filter as a teaching case, which can present the implementation method of digital filters combining Matlab and a hardware description language together. First, according to the task of the teaching case, the coefficients of FIR digital filter are determined by an FDATool application of Matlab. By normalization and quantization, the filter coefficients and sampled data are both converted from the floating-point data to the fixed-point data. The bit width of valid data bits of FIR filter outputs is determined in accordance with the rule of multiply accumulate operation of FPGAs. Then, we utilize Verilog HDL to implement a fast multiplier and the parallel FIR digital low-pass filter. Finally, we compare the filter outputs of FPGAs with the ones of Matlab, and analyze the reason. The case teaching method, which combines Matlab and FPGAs, is helpful to develop the hardware implementation ability of digital signal processing of undergraduates.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948331","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00008
Shifeng Huang
Artificial Neural network as a power tool is now working in more and more areas such as recognition of handwritten digits and faces, sentence classification and audio recognition. This project aims at using convolutional neural network (CNN) to recognize handwritten digits provided by MNIST datasets with TensorFlow tool. Several variables such as dropout rate, epoch, fully connected layer with different neuron amount and filter amount were investigated in the experiments to investigate the performance of the model. Both training and validation accuracy were detected and gave us a direct reflection of the influence of different settings. With appropriate 0.2 dropout rate and 50 epochs, the model can accomplish 99.81% training accuracy and 99.38% validation accuracy. By adding fully connected layers with reasonable neuron amount, both training and validation accuracy were improved, and this modification had no extra running time required in our work. The filter number in the convolutional layers was also an important factor in the model performance. More filters can extract more features from the raw images and thus increase the accuracy of 99.95% for training accuracy and 99.47% for validation accuracy. However, this modification was found to have a longer running time.
{"title":"Influence of Different Convolutional Neural Network Settings on the Performance of MNIST Handwritten Digits Recognition","authors":"Shifeng Huang","doi":"10.1109/ICAIE50891.2020.00008","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00008","url":null,"abstract":"Artificial Neural network as a power tool is now working in more and more areas such as recognition of handwritten digits and faces, sentence classification and audio recognition. This project aims at using convolutional neural network (CNN) to recognize handwritten digits provided by MNIST datasets with TensorFlow tool. Several variables such as dropout rate, epoch, fully connected layer with different neuron amount and filter amount were investigated in the experiments to investigate the performance of the model. Both training and validation accuracy were detected and gave us a direct reflection of the influence of different settings. With appropriate 0.2 dropout rate and 50 epochs, the model can accomplish 99.81% training accuracy and 99.38% validation accuracy. By adding fully connected layers with reasonable neuron amount, both training and validation accuracy were improved, and this modification had no extra running time required in our work. The filter number in the convolutional layers was also an important factor in the model performance. More filters can extract more features from the raw images and thus increase the accuracy of 99.95% for training accuracy and 99.47% for validation accuracy. However, this modification was found to have a longer running time.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126112262","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00033
Xuelin Qiu
Deep learning in the background of Al technology is increasingly integrated into the education industry. Today, Internet plus continuing education is attacking traditional adult education mode. It integrates the teaching and learning of the line, the teaching and learning, and applies the information technology of artificial intelligence to link the teaching resources, teaching process, organization and implementation of teaching, evaluation and feedback of teaching effect, so as to realize the blended teaching of continuing education. This paper takes the blended teaching practice of related courses as an example, with a view to making new exploration for the teaching research of "Internet plus continuing education" under the field of Al.
{"title":"Research on the teaching of \"Internet plus continuing education\" from the perspective of Al","authors":"Xuelin Qiu","doi":"10.1109/ICAIE50891.2020.00033","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00033","url":null,"abstract":"Deep learning in the background of Al technology is increasingly integrated into the education industry. Today, Internet plus continuing education is attacking traditional adult education mode. It integrates the teaching and learning of the line, the teaching and learning, and applies the information technology of artificial intelligence to link the teaching resources, teaching process, organization and implementation of teaching, evaluation and feedback of teaching effect, so as to realize the blended teaching of continuing education. This paper takes the blended teaching practice of related courses as an example, with a view to making new exploration for the teaching research of \"Internet plus continuing education\" under the field of Al.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125574669","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00089
Juan Wang
As important “others” in the growth and development of infants and young children aged 0-3, communication and interaction effects of teachers and parents directly affect the quality of parenting education for infants and young children aged 0-3. The true meaning of early parenting education for young children aged 0-3 is to “teach” parents on “bringing up” children. Therefore, in the context of the current “Internet + education” era, in order to better promote the effective interaction between teachers and parents and improve the quality of education of young children aged 0-3, a survey conducted on the interaction between parents and teachers of young children aged 0-3 has great significance.
{"title":"Survey and Suggestions on Parent-teacher Interaction Modes in Early Parenting Education of Yong Children Aged 0-3","authors":"Juan Wang","doi":"10.1109/ICAIE50891.2020.00089","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00089","url":null,"abstract":"As important “others” in the growth and development of infants and young children aged 0-3, communication and interaction effects of teachers and parents directly affect the quality of parenting education for infants and young children aged 0-3. The true meaning of early parenting education for young children aged 0-3 is to “teach” parents on “bringing up” children. Therefore, in the context of the current “Internet + education” era, in order to better promote the effective interaction between teachers and parents and improve the quality of education of young children aged 0-3, a survey conducted on the interaction between parents and teachers of young children aged 0-3 has great significance.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127133334","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00021
Gui Cunbing
With the rapid development of “Internet +” and artificial intelligence technology, China’s agricultural development has ushered in a new opportunity. The application of artificial intelligence technology in various stages of modern agricultural production is a new direction of modern agricultural production, and it has also achieved some achievements. Based on this, this paper sorts out the application status and application direction of artificial intelligence technology in China’s modern agriculture in different production stages, and proposes the development path of artificial intelligence technology in the agricultural field in view of the existing problems and challenges.
{"title":"Discussion on Application and Development Path of Artificial Intelligence Technology in China Agricultural Field","authors":"Gui Cunbing","doi":"10.1109/ICAIE50891.2020.00021","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00021","url":null,"abstract":"With the rapid development of “Internet +” and artificial intelligence technology, China’s agricultural development has ushered in a new opportunity. The application of artificial intelligence technology in various stages of modern agricultural production is a new direction of modern agricultural production, and it has also achieved some achievements. Based on this, this paper sorts out the application status and application direction of artificial intelligence technology in China’s modern agriculture in different production stages, and proposes the development path of artificial intelligence technology in the agricultural field in view of the existing problems and challenges.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127400492","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00052
Wei Zhang, Jialiang Liu, Liwen He, Fang Zhang
In view of the lack of curriculum resources and unclear degree in the implementation of credit system in higher vocational colleges, this paper expounds the practical effect of big data in the credit system management of Higher Vocational Colleges from the aspects of curriculum replacement, student behavior tracking, student learning analysis, utilization rate of teaching resources, intelligent course arrangement and curriculum diagnosis.
{"title":"The Research on the Application of Big Data in the Credit System of Higher Vocational Colleges","authors":"Wei Zhang, Jialiang Liu, Liwen He, Fang Zhang","doi":"10.1109/ICAIE50891.2020.00052","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00052","url":null,"abstract":"In view of the lack of curriculum resources and unclear degree in the implementation of credit system in higher vocational colleges, this paper expounds the practical effect of big data in the credit system management of Higher Vocational Colleges from the aspects of curriculum replacement, student behavior tracking, student learning analysis, utilization rate of teaching resources, intelligent course arrangement and curriculum diagnosis.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127946211","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 : 2020-06-01DOI: 10.1109/ICAIE50891.2020.00066
Wang Qin, Xia Jiangiing, Lv Rui
In the 1990s, Boyer proposed the concept of “Scholarship of Teaching” in view of the decline in the quality of undergraduate teaching in the United States and the emphasis on scientific research over teaching in universities. Boyer believes that “The connotation of academics in colleges and universities not only refers to professional scientific research, but also includes inquiry academics, integrated academics, applied knowledge academics, and spread knowledge academic With the unbalanced development of teaching and scientific research in Chinese Universities, the research on the scholarship of teaching is increasing. Through the visual analysis of CNKI data collection literature, taking 2000-2019 as the research area, 178 scholarship of teaching related papers collected from CSSCI core journals as research objects, through the visual software CiteSpace to draw the keyword knowledge map, draw the research hotspot, evolution process and cutting-edge trend of China’s scholarship of teaching, and provide suggestions for the future development of scholarship of teaching.
{"title":"Research on the Scholarship of Teaching Based on Citespace","authors":"Wang Qin, Xia Jiangiing, Lv Rui","doi":"10.1109/ICAIE50891.2020.00066","DOIUrl":"https://doi.org/10.1109/ICAIE50891.2020.00066","url":null,"abstract":"In the 1990s, Boyer proposed the concept of “Scholarship of Teaching” in view of the decline in the quality of undergraduate teaching in the United States and the emphasis on scientific research over teaching in universities. Boyer believes that “The connotation of academics in colleges and universities not only refers to professional scientific research, but also includes inquiry academics, integrated academics, applied knowledge academics, and spread knowledge academic With the unbalanced development of teaching and scientific research in Chinese Universities, the research on the scholarship of teaching is increasing. Through the visual analysis of CNKI data collection literature, taking 2000-2019 as the research area, 178 scholarship of teaching related papers collected from CSSCI core journals as research objects, through the visual software CiteSpace to draw the keyword knowledge map, draw the research hotspot, evolution process and cutting-edge trend of China’s scholarship of teaching, and provide suggestions for the future development of scholarship of teaching.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503856","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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