Zeguo Shao, Li Wang, Mina Yan, Yuhong Xiang, Yingchao Zhu, Wei Chen
Under the background of the development of smart medical the five new characteristics of data standardization, these include system integration, service regionalization, application intelligence, and structural diversification for clinical information systems. According to the characteristic, for the clinical information system we adopted the 'flattening' idea to the curriculum integration. That was based on the modular teaching content integration, teaching method integration that was based on virtual teaching platform and teaching case integration based on system characteristics. Finally, for questionnaires of students who in five different majors had test teaching in one year. The questionnaires showed that the proportion is highest for the satisfaction score 70-80%, it has reached 40.5%. It was confirmed that the educational reform program of this research has certain effect.
{"title":"Integration of Clinical Information System Course under the Smart Medical Scene","authors":"Zeguo Shao, Li Wang, Mina Yan, Yuhong Xiang, Yingchao Zhu, Wei Chen","doi":"10.1145/3395245.3395246","DOIUrl":"https://doi.org/10.1145/3395245.3395246","url":null,"abstract":"Under the background of the development of smart medical the five new characteristics of data standardization, these include system integration, service regionalization, application intelligence, and structural diversification for clinical information systems. According to the characteristic, for the clinical information system we adopted the 'flattening' idea to the curriculum integration. That was based on the modular teaching content integration, teaching method integration that was based on virtual teaching platform and teaching case integration based on system characteristics. Finally, for questionnaires of students who in five different majors had test teaching in one year. The questionnaires showed that the proportion is highest for the satisfaction score 70-80%, it has reached 40.5%. It was confirmed that the educational reform program of this research has certain effect.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133932235","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}
Based on the systematic teaching mode of work process, this paper analyzes and studies the characteristics of classroom teaching, blended learning and network teaching, and it also demonstrates the hypothesis that traditional teaching methods are transformed to interactive teaching under the systematic teaching mode of work process. Taking the "Purchasing Practice" course as an example, this paper proposes an online + offline mixed learning and step-wise classroom interactive teaching mode and uses online learning platforms for teaching in the classroom, which not only actively mobilizes the enthusiasm, creativity and initiative of students but also gives full play to the guiding role of teachers, effectively improves teaching results and students' autonomous learning ability and promotes classroom teaching reform.
{"title":"A Study on the \"Ladder\" Interactive Teaching Model of the Course of \"Purchasing Practice\" Based on Systematic Work Process","authors":"Zhang Rong, Bailin Xiao, Yunxia Niu","doi":"10.1145/3395245.3396424","DOIUrl":"https://doi.org/10.1145/3395245.3396424","url":null,"abstract":"Based on the systematic teaching mode of work process, this paper analyzes and studies the characteristics of classroom teaching, blended learning and network teaching, and it also demonstrates the hypothesis that traditional teaching methods are transformed to interactive teaching under the systematic teaching mode of work process. Taking the \"Purchasing Practice\" course as an example, this paper proposes an online + offline mixed learning and step-wise classroom interactive teaching mode and uses online learning platforms for teaching in the classroom, which not only actively mobilizes the enthusiasm, creativity and initiative of students but also gives full play to the guiding role of teachers, effectively improves teaching results and students' autonomous learning ability and promotes classroom teaching reform.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131434654","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}
In recent years, more and more robots are being applied to school and home widely. Teaching and playback are a universal method to develop robot functions. For purpose of simplifying the process of teaching humanoid educational robots, a method of human motion and gesture recognition, based on digital-image processing technology, is proposed for automatic teaching of robots. In this method, raw images taken by camera are converted to human body gesture binary images by using the technology of image subtraction and image preprocessing. Then, the body gesture images are mapped to body mathematical models by the skeletonization and recognition algorithms. Finally, the control commands of robots are calculated and drive robots to do the similar actions. Compared with other methods of robot teaching, the teaching method by using digital-image processing and recognition technology has an easier usage and lower cost. By series of experiments, it is seen that this method has a good performance on teaching robots.
{"title":"Application of Image Recognition Technology in Automatic Teaching of Humanoid Educational Robots","authors":"Tang Xinning, Ren Bingyin, Zhaofei Xu, Zhao Shuying","doi":"10.1145/3395245.3396422","DOIUrl":"https://doi.org/10.1145/3395245.3396422","url":null,"abstract":"In recent years, more and more robots are being applied to school and home widely. Teaching and playback are a universal method to develop robot functions. For purpose of simplifying the process of teaching humanoid educational robots, a method of human motion and gesture recognition, based on digital-image processing technology, is proposed for automatic teaching of robots. In this method, raw images taken by camera are converted to human body gesture binary images by using the technology of image subtraction and image preprocessing. Then, the body gesture images are mapped to body mathematical models by the skeletonization and recognition algorithms. Finally, the control commands of robots are calculated and drive robots to do the similar actions. Compared with other methods of robot teaching, the teaching method by using digital-image processing and recognition technology has an easier usage and lower cost. By series of experiments, it is seen that this method has a good performance on teaching robots.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116286410","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}
This article shares the results obtained about the implementation of a Virtual Laboratory (VL) of industrial robots in the class of Integrated Manufacturing Systems. The reasons to implement it were: (1) to use different configurations of industrial robots, (2) to decrease the use of a real laboratory with expensive equipment, (3) to avoid accidents and misuse of equipment, (4) to use a robot for each student, and (5) to know the perception of engineering students, about using a VL in their course. The novelty of this work is that VL is based on the use of a mechanism simulation module of a CAD program (Computer-aided design). On the other hand, its implementation can be replicated with any other program of this type. Other industrial robot simulators are based on a single type of robot, which is sometimes experimental or didactic. In this case, the simulator presented uses three industrial robots of the ABB company. Because the VL is based on a CAD program application, its cost is less than a sophisticated program aimed at programming industrial robots; professors can also vary the level or depth of the knowledge they want to teach. It can be used for an introductory course or an advanced robotics course according to the equations that are programmed. Another advantage is that the simulator allows a new type of robot to be incorporated to have a greater variety of configurations without the need to write some type of computer code. By using a CAD program, users can print the robot models in 3D or apply engineering analysis to determine mechanical stresses in their components, which allows endless academic activities for students. In addition, if a path is defined within the VL, a program can be generated for a real robot to follow that path.
{"title":"Implementation of a Virtual Laboratory of Industrial Robots","authors":"H. Okuno, G. S. Benítez, Rafael Caltenco Castillo","doi":"10.1145/3395245.3396408","DOIUrl":"https://doi.org/10.1145/3395245.3396408","url":null,"abstract":"This article shares the results obtained about the implementation of a Virtual Laboratory (VL) of industrial robots in the class of Integrated Manufacturing Systems. The reasons to implement it were: (1) to use different configurations of industrial robots, (2) to decrease the use of a real laboratory with expensive equipment, (3) to avoid accidents and misuse of equipment, (4) to use a robot for each student, and (5) to know the perception of engineering students, about using a VL in their course. The novelty of this work is that VL is based on the use of a mechanism simulation module of a CAD program (Computer-aided design). On the other hand, its implementation can be replicated with any other program of this type. Other industrial robot simulators are based on a single type of robot, which is sometimes experimental or didactic. In this case, the simulator presented uses three industrial robots of the ABB company. Because the VL is based on a CAD program application, its cost is less than a sophisticated program aimed at programming industrial robots; professors can also vary the level or depth of the knowledge they want to teach. It can be used for an introductory course or an advanced robotics course according to the equations that are programmed. Another advantage is that the simulator allows a new type of robot to be incorporated to have a greater variety of configurations without the need to write some type of computer code. By using a CAD program, users can print the robot models in 3D or apply engineering analysis to determine mechanical stresses in their components, which allows endless academic activities for students. In addition, if a path is defined within the VL, a program can be generated for a real robot to follow that path.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124550048","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}
The quality of collaborative learning is one of the essential factors that determine the quality of teaching. Therefore, it is a significant work for educators to explore scientific and reasonable grouping methods. In this paper, first we design a Blended Learning mode in which there are a variety of online and offline learning activities. The quantified learning behavior information becomes the original data and basis for grouping. Then we combined KNN (k-Nearest Neighbor) algorithm and grouping principle to implement grouping for the pilot class. Finally, the effect of this grouping method is demonstrated by comparing the final examination results and analyzing the number of students who have finished the preview. The results show that the class with the new grouping method has achieved good performance in the final examination.
{"title":"Empirical Research on the Effect of Collaborative Learning in Blended Learning Mode Based on KNN Algorithm","authors":"Lin Tan, Yali Chen, R. Yang, Li Lai","doi":"10.1145/3395245.3395251","DOIUrl":"https://doi.org/10.1145/3395245.3395251","url":null,"abstract":"The quality of collaborative learning is one of the essential factors that determine the quality of teaching. Therefore, it is a significant work for educators to explore scientific and reasonable grouping methods. In this paper, first we design a Blended Learning mode in which there are a variety of online and offline learning activities. The quantified learning behavior information becomes the original data and basis for grouping. Then we combined KNN (k-Nearest Neighbor) algorithm and grouping principle to implement grouping for the pilot class. Finally, the effect of this grouping method is demonstrated by comparing the final examination results and analyzing the number of students who have finished the preview. The results show that the class with the new grouping method has achieved good performance in the final examination.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124362256","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}
At a time when the number of Massive Open Online Courses (MOOCs) users, courses and participating universities is increasing rapidly, a short-time training and reliable prediction model for MOOC extremely high dropout rates is needed. This paper proposes a MOOC dropout prediction model which is based on Broad Learning System (BLS) for MOOC dropout prediction. The model first maps the input into the feature node layer, then generates the enhanced node layer according to the feature node layer through activation, and finally performs linear transformation by combining the feature layer and the enhancement layer. The output layer is used for dropout prediction. Experiments are carried out on the dataset provided by KDD CUP 2015, and the experimental results show that the BLS significantly reduces training time and has a better prediction of dropouts than other mainstream research methods.
在大规模在线开放课程(MOOC)用户、课程和参与院校数量快速增长的今天，迫切需要针对MOOC极高辍学率的短期培训和可靠的预测模型。本文提出了一种基于广义学习系统(BLS)的MOOC辍学预测模型。该模型首先将输入映射到特征节点层，然后根据特征节点层通过激活生成增强节点层，最后将特征层与增强层结合进行线性变换。输出层用于dropout预测。在KDD CUP 2015提供的数据集上进行了实验，实验结果表明，与其他主流研究方法相比，BLS显著减少了训练时间，并且对辍学的预测效果更好。
{"title":"Broad Learning System for Predicting Student Dropout in Massive Open Online Courses","authors":"Shuang Lai, Yuxin Zhao, Yuqing Yang","doi":"10.1145/3395245.3395252","DOIUrl":"https://doi.org/10.1145/3395245.3395252","url":null,"abstract":"At a time when the number of Massive Open Online Courses (MOOCs) users, courses and participating universities is increasing rapidly, a short-time training and reliable prediction model for MOOC extremely high dropout rates is needed. This paper proposes a MOOC dropout prediction model which is based on Broad Learning System (BLS) for MOOC dropout prediction. The model first maps the input into the feature node layer, then generates the enhanced node layer according to the feature node layer through activation, and finally performs linear transformation by combining the feature layer and the enhancement layer. The output layer is used for dropout prediction. Experiments are carried out on the dataset provided by KDD CUP 2015, and the experimental results show that the BLS significantly reduces training time and has a better prediction of dropouts than other mainstream research methods.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129468850","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}
Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi
In this paper, we evaluate the computation time taken to create a timely optimized scheduler that needs to adhere to the resource constraint by comparing our proposed Sort and Fit method with trivial methods using Brute-force and 0--1 Knapsack Problem. When unoptimized, the scheduler not only takes a longer duration but also increases the operating cost. Due to the scheduling problem itself is an NP-hard, the simplest solution requires an upgrade to expand the resource constraint. Although there are multiple solutions, it cannot be applied in a real-time system and limited only to a specific problem. The major contribution of this paper is our proposed method can compute in near real-time while the accuracy is comparable to the trivial methods in near real-time. This show that trivial methods are suitable for small scale IoT system while our proposed method is suitable for large scale IoT system.
在本文中，我们通过比较我们提出的Sort and Fit方法与使用暴力和0—1背包问题的简单方法，评估创建一个需要遵守资源约束的及时优化调度程序所花费的计算时间。在未优化的情况下，调度程序不仅需要更长的持续时间，而且还会增加运行成本。由于调度问题本身是NP-hard问题，最简单的解决方案需要升级来扩展资源约束。虽然有多种解决方案，但它不能应用于实时系统，并且仅限于特定的问题。本文的主要贡献是该方法可以在近实时的情况下进行计算，而精度与常用的近实时计算方法相当。这表明，平凡方法适用于小规模物联网系统，而我们提出的方法适用于大规模物联网系统。
{"title":"Evaluation of Process Arrangement Methods Based on Resource Constraint for IoT System","authors":"Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi","doi":"10.1145/3395245.3396446","DOIUrl":"https://doi.org/10.1145/3395245.3396446","url":null,"abstract":"In this paper, we evaluate the computation time taken to create a timely optimized scheduler that needs to adhere to the resource constraint by comparing our proposed Sort and Fit method with trivial methods using Brute-force and 0--1 Knapsack Problem. When unoptimized, the scheduler not only takes a longer duration but also increases the operating cost. Due to the scheduling problem itself is an NP-hard, the simplest solution requires an upgrade to expand the resource constraint. Although there are multiple solutions, it cannot be applied in a real-time system and limited only to a specific problem. The major contribution of this paper is our proposed method can compute in near real-time while the accuracy is comparable to the trivial methods in near real-time. This show that trivial methods are suitable for small scale IoT system while our proposed method is suitable for large scale IoT system.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"3 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972551","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}
Objective: it is purposed to observe the effect of the group interpersonal psychotherapy on the female college students with depression. Methods: 55 female college students with depression are selected to accept the group interpersonal psychotherapy program. It is required to compare the depression degree and the life quality of the patients before and after treatment. Results: after treatment, the SDS scores(27.48±3.36)and the HAMD scores(8.44±2.78)of the participants are significantly lower than the ones before treatment. The difference is statistically significant(P<0.05); after treatment, the IIP scores(0.75±0.58)and the SDSS scores(4.81±1.84)of the participants are significantly lower than the ones before treatment. The difference is statistically significant(P<0.05); after the treatment, the CQOLI-74 scores(52.64±4.76)are significantly higher than(37.86±4.32)before the treatment. The difference is statistically significant(P<0.05). Conclusion: the group interpersonal psychotherapy can significantly improve the depressive symptoms and the social ability of the female college students with depression and effectively improve the quality of life. The effect of treatment is good.
{"title":"Effect of Group Interpersonal Psychological Therapy (IPT) Program on Female College Students with Depression","authors":"Wu Yue, Wang Qiongyao","doi":"10.1145/3395245.3396437","DOIUrl":"https://doi.org/10.1145/3395245.3396437","url":null,"abstract":"Objective: it is purposed to observe the effect of the group interpersonal psychotherapy on the female college students with depression. Methods: 55 female college students with depression are selected to accept the group interpersonal psychotherapy program. It is required to compare the depression degree and the life quality of the patients before and after treatment. Results: after treatment, the SDS scores(27.48±3.36)and the HAMD scores(8.44±2.78)of the participants are significantly lower than the ones before treatment. The difference is statistically significant(P<0.05); after treatment, the IIP scores(0.75±0.58)and the SDSS scores(4.81±1.84)of the participants are significantly lower than the ones before treatment. The difference is statistically significant(P<0.05); after the treatment, the CQOLI-74 scores(52.64±4.76)are significantly higher than(37.86±4.32)before the treatment. The difference is statistically significant(P<0.05). Conclusion: the group interpersonal psychotherapy can significantly improve the depressive symptoms and the social ability of the female college students with depression and effectively improve the quality of life. The effect of treatment is good.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127604596","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}
{"title":"Proceedings of the 2020 8th International Conference on Information and Education Technology","authors":"","doi":"10.1145/3395245","DOIUrl":"https://doi.org/10.1145/3395245","url":null,"abstract":"","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127353972","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：