Pub Date : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00044
Ching-Sheng Wang, Meng-Lung Lin, Pin-Yu Chen
In recent years, many internationally renowned sightseeing spots and museums have actively developed mobile navigation systems to enhance the navigation effect, but there is still lack of system designed for geopark. Since most of the geology parks have rich geological landscape and topography, the common multimedia navigation system is difficult to present the detailed 3D scenery and appearance, and the navigation effect is limited. Therefore, we take the internationally renowned Yehliu Geopark in Taiwan as an example to develop a virtual reality mobile navigation system that supports multiple 3D display functions. The system can provide various navigation functions such as 3D automatic navigation, free navigation, panoramic image, stereoscopic image, etc., and is supplemented by functions such as tour recommendation and geological knowledge quiz, which can effectively enhance the navigation effect, guide users to learn related geological knowledge, and further enrich the user's navigation experience.
{"title":"Development of a 3D Virtual Reality Mobile Navigation System for Geopark","authors":"Ching-Sheng Wang, Meng-Lung Lin, Pin-Yu Chen","doi":"10.1109/Ubi-Media.2019.00044","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00044","url":null,"abstract":"In recent years, many internationally renowned sightseeing spots and museums have actively developed mobile navigation systems to enhance the navigation effect, but there is still lack of system designed for geopark. Since most of the geology parks have rich geological landscape and topography, the common multimedia navigation system is difficult to present the detailed 3D scenery and appearance, and the navigation effect is limited. Therefore, we take the internationally renowned Yehliu Geopark in Taiwan as an example to develop a virtual reality mobile navigation system that supports multiple 3D display functions. The system can provide various navigation functions such as 3D automatic navigation, free navigation, panoramic image, stereoscopic image, etc., and is supplemented by functions such as tour recommendation and geological knowledge quiz, which can effectively enhance the navigation effect, guide users to learn related geological knowledge, and further enrich the user's navigation experience.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122010908","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}
Matrix factorization (MF) technique has been widely utilized in recommendation systems due to the precise prediction of users' interests. Prior MF-based methods adapt the overall rating to make the recommendation by extracting latent factors from users and items. However, in real applications, people's preferences usually vary with time; the traditional MF-based methods could not properly capture the change of users' interests. In this paper, by incorporating the recurrent neural network (RNN) into MF, we develop a novel recommendation system, M-RNN-F, to effectively describe the preference evolution of users over time. A learning model is proposed to capture the evolution pattern and predict the user preference in the future. The experimental results show that M-RNN-F performs better than other state-of-the-art recommendation algorithms. In addition, we conduct the experiments on real world dataset to demonstrate the practicability.
{"title":"A Novel Evolution-Based Recommendation System","authors":"Yi-Cheng Chen, Yen-Lung Chu, Lin Hui, Sheng-Chih Chen, Tipajin Thaipisutikul, Kai-Ze Weng","doi":"10.1109/Ubi-Media.2019.00017","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00017","url":null,"abstract":"Matrix factorization (MF) technique has been widely utilized in recommendation systems due to the precise prediction of users' interests. Prior MF-based methods adapt the overall rating to make the recommendation by extracting latent factors from users and items. However, in real applications, people's preferences usually vary with time; the traditional MF-based methods could not properly capture the change of users' interests. In this paper, by incorporating the recurrent neural network (RNN) into MF, we develop a novel recommendation system, M-RNN-F, to effectively describe the preference evolution of users over time. A learning model is proposed to capture the evolution pattern and predict the user preference in the future. The experimental results show that M-RNN-F performs better than other state-of-the-art recommendation algorithms. In addition, we conduct the experiments on real world dataset to demonstrate the practicability.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128361945","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 research uses information technology called Internet Of Things (IOT). Objectives is to grow plants in a household and controlled environment to reduce the use of chemicals for plant growing. This research has been conducted on growing crops is wrinkled leaf cabbage. In this research, nutrients from crap fish farming are circulated as fertilizer to grow plants. pH is measured to protect the roots of plants from being rotted or damaged. From these data control of various environments by applying Internet Of Things (IOT) to turn off the lights, control humidity and develop web applications to control various factors and storing various data in cloud database. Therefore, this research shows how to install loT into the aquaponic.
{"title":"Design and Implementaion of Smart Small Aquaponics System","authors":"Siriporn Sansri, Wu-Yuin Hwang, Theerasak Srikhumpa","doi":"10.1109/Ubi-Media.2019.00071","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00071","url":null,"abstract":"This research uses information technology called Internet Of Things (IOT). Objectives is to grow plants in a household and controlled environment to reduce the use of chemicals for plant growing. This research has been conducted on growing crops is wrinkled leaf cabbage. In this research, nutrients from crap fish farming are circulated as fertilizer to grow plants. pH is measured to protect the roots of plants from being rotted or damaged. From these data control of various environments by applying Internet Of Things (IOT) to turn off the lights, control humidity and develop web applications to control various factors and storing various data in cloud database. Therefore, this research shows how to install loT into the aquaponic.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128316802","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00030
Chun-Ming Tsai, T. Shou, J. Hsieh, Kuang-Hsuan Chen
Taiwan has many vehicles and as a result many traffic problems. In particular, during the Spring Festival and the holidays, Hsuehshan Tunnel (HST) between Yilan and Taipei is always a traffic jam. To solve this problem, intelligent transportation system (ITS) is necessary, and accurate vehicle detection (VD) is the first stage for ITS. In order to detect vehicles in HST, three training methods based on single shot multibox detector (SSD) are presented to detect four categories of vehicle in the Tunnel. The experimental results demonstrated that the presented three training methods, which only used 1000 training frames, can detect and categorize more vehicles than the pre-trained SSD model which used a large training dataset. Specifically, the SSD trained by our collected data set and data augmentation has the highest detection rates for sedan, van, bus, and truck – 93.6%, 90.9%, 100%, and 100%, respectively.
{"title":"Four Categories Vehicle Detection in Hsuehshan Tunnel via Single Shot Multibox Detector","authors":"Chun-Ming Tsai, T. Shou, J. Hsieh, Kuang-Hsuan Chen","doi":"10.1109/Ubi-Media.2019.00030","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00030","url":null,"abstract":"Taiwan has many vehicles and as a result many traffic problems. In particular, during the Spring Festival and the holidays, Hsuehshan Tunnel (HST) between Yilan and Taipei is always a traffic jam. To solve this problem, intelligent transportation system (ITS) is necessary, and accurate vehicle detection (VD) is the first stage for ITS. In order to detect vehicles in HST, three training methods based on single shot multibox detector (SSD) are presented to detect four categories of vehicle in the Tunnel. The experimental results demonstrated that the presented three training methods, which only used 1000 training frames, can detect and categorize more vehicles than the pre-trained SSD model which used a large training dataset. Specifically, the SSD trained by our collected data set and data augmentation has the highest detection rates for sedan, van, bus, and truck – 93.6%, 90.9%, 100%, and 100%, respectively.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129647229","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00035
Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai
In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.
{"title":"An Adaptive Stereoscopic Video Streaming Mechanism Using MV-HEVC and 3D-HEVC Technologies","authors":"Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai","doi":"10.1109/Ubi-Media.2019.00035","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00035","url":null,"abstract":"In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123288105","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00060
Siska Wati Dewi Purba, Wu-Yuin Hwang, Shih-Chun Pao
This study utilized an app called Ubiquitous-Physics (U-Physics) to help students to explore inclined plane phenomena in authentic contexts. The study analyzed the inquiry behaviors of students such as interpreting graphs, applying formulas, drawing conclusions, authentic posts, and comments during the learning activities. Furthermore, the correlation between the inquiry behaviors and learning achievement were studied. A total of 35 second-grade students from vocational high school participated in this study. Two experimental activities in a laboratory and authentic contexts were given to students. The results indicated that students who used U-Physics are significantly perform better than students who used traditional tools such as a stopwatch for the inclined plane experiment. Pearson correlations demonstrated that the quantity of posts in authentic contexts had the biggest influence on the learning achievement of students, proving the importance of applying physics concepts in authentic contexts. Additionally, the interview responses showed that most students liked U-Physics and intended to use it in the future to explore physics phenomena and to conduct experiments. The findings indicate that using U-Physics in authentic contexts is very meaningful and can contribute to physics learning.
{"title":"Effect of Ubiquitous Physics App on Learning Achievements in Authentic Contexts","authors":"Siska Wati Dewi Purba, Wu-Yuin Hwang, Shih-Chun Pao","doi":"10.1109/Ubi-Media.2019.00060","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00060","url":null,"abstract":"This study utilized an app called Ubiquitous-Physics (U-Physics) to help students to explore inclined plane phenomena in authentic contexts. The study analyzed the inquiry behaviors of students such as interpreting graphs, applying formulas, drawing conclusions, authentic posts, and comments during the learning activities. Furthermore, the correlation between the inquiry behaviors and learning achievement were studied. A total of 35 second-grade students from vocational high school participated in this study. Two experimental activities in a laboratory and authentic contexts were given to students. The results indicated that students who used U-Physics are significantly perform better than students who used traditional tools such as a stopwatch for the inclined plane experiment. Pearson correlations demonstrated that the quantity of posts in authentic contexts had the biggest influence on the learning achievement of students, proving the importance of applying physics concepts in authentic contexts. Additionally, the interview responses showed that most students liked U-Physics and intended to use it in the future to explore physics phenomena and to conduct experiments. The findings indicate that using U-Physics in authentic contexts is very meaningful and can contribute to physics learning.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129586969","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00043
Anuwat Angkuldee, K. Shih, S. Ruengittinun
Path planning for robot can be useful, it can save time consumed for a robot to move to destination or get stuck by an obstacle. If the robot knows where the obstacles are and knows which way is clear to move to, it can help the robot get to the destination faster and more precise. The objective of this project is to create an algorithm for a robot to plan a path from one position to the destination. This project has four approaches for creating path planning for robot, direction angle algorithm, packet forwarding like algorithm, A* search algorithm, and A* without using GPS algorithm. The later approaches will improve disadvantages in former approaches. This project is created in simulation program called Webots. Result from the last approach can make a robot plan a path from one position to the destination and avoid obstacles when they are detected. However, it is still not very accurate in the positioning system because the robot cannot get its exact position.
{"title":"Apply A* Search for Robot Path Finding","authors":"Anuwat Angkuldee, K. Shih, S. Ruengittinun","doi":"10.1109/Ubi-Media.2019.00043","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00043","url":null,"abstract":"Path planning for robot can be useful, it can save time consumed for a robot to move to destination or get stuck by an obstacle. If the robot knows where the obstacles are and knows which way is clear to move to, it can help the robot get to the destination faster and more precise. The objective of this project is to create an algorithm for a robot to plan a path from one position to the destination. This project has four approaches for creating path planning for robot, direction angle algorithm, packet forwarding like algorithm, A* search algorithm, and A* without using GPS algorithm. The later approaches will improve disadvantages in former approaches. This project is created in simulation program called Webots. Result from the last approach can make a robot plan a path from one position to the destination and avoid obstacles when they are detected. However, it is still not very accurate in the positioning system because the robot cannot get its exact position.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128845361","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 the mission of natural language processing, sentiment analysis is a formidable challenge due to the complexity of deep network architecture and the lack of standard sentiment word representation. In this paper, we proposed a new learning method of the word representation for the comprehensive information of texts and a minimal Bi-GRU (bidirectional gate recurrent unit) model for the task of sentiment classification. First, for capturing sentiment information of words, the supervised three-layer network is used for construct sentiment word representation. We propose the mixed word representation to denote the classification characteristics, which combines the word embedding of neural probabilistic language model with the proposed the sentiment word representation. Next, we propose bidirectional GRU network including forward and backward propagation to consider the semantic relations before and after sentences, meanwhile, to simple the architecture, we apply minimal GRU network. Then, we combine minimal Bi-GRU model with the mixed word representation taking a full account of semantic and sentiment information to classify the sentiment data set as Movie Reviews and IMDB data set. Experimental results demonstrate that the simplicity of the model and superiority of the performance.
{"title":"Mixed Word Representation and Minimal Bi-GRU Model for Sentiment Analysis","authors":"Yun Liu, Yanping Fu, Yajing Wang, Yong Cui, Zhiyuan Zhang","doi":"10.1109/Ubi-Media.2019.00015","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00015","url":null,"abstract":"In the mission of natural language processing, sentiment analysis is a formidable challenge due to the complexity of deep network architecture and the lack of standard sentiment word representation. In this paper, we proposed a new learning method of the word representation for the comprehensive information of texts and a minimal Bi-GRU (bidirectional gate recurrent unit) model for the task of sentiment classification. First, for capturing sentiment information of words, the supervised three-layer network is used for construct sentiment word representation. We propose the mixed word representation to denote the classification characteristics, which combines the word embedding of neural probabilistic language model with the proposed the sentiment word representation. Next, we propose bidirectional GRU network including forward and backward propagation to consider the semantic relations before and after sentences, meanwhile, to simple the architecture, we apply minimal GRU network. Then, we combine minimal Bi-GRU model with the mixed word representation taking a full account of semantic and sentiment information to classify the sentiment data set as Movie Reviews and IMDB data set. Experimental results demonstrate that the simplicity of the model and superiority of the performance.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719803","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00050
Weiwei Yang, Jie-Si Chen, Yeong-Sheng Chen
This study proposed a management system of the electronic medical records in the blockchain environment. In the proposed system, electronic medical records are first stored in the InterPlanetary File System (IPFS), and then the system generates the hash value, which will be sent to the smart contract to correlate with the patients' data. After that, if the medical staff's medical authority is confirmed by the system, the smart contract can send back the hash value that IPFS generated, and thus the system will present the complete electronic medical records. In the experimental simulation, the results showed that our proposed electronic medical record management and storage process not only can block forged or tampered electronic medical records via smart contracts, but also make it easy to integrate electronic medical records and share medical resources.
{"title":"An Electronic Medical Record Management System Based on Smart Contracts","authors":"Weiwei Yang, Jie-Si Chen, Yeong-Sheng Chen","doi":"10.1109/Ubi-Media.2019.00050","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00050","url":null,"abstract":"This study proposed a management system of the electronic medical records in the blockchain environment. In the proposed system, electronic medical records are first stored in the InterPlanetary File System (IPFS), and then the system generates the hash value, which will be sent to the smart contract to correlate with the patients' data. After that, if the medical staff's medical authority is confirmed by the system, the smart contract can send back the hash value that IPFS generated, and thus the system will present the complete electronic medical records. In the experimental simulation, the results showed that our proposed electronic medical record management and storage process not only can block forged or tampered electronic medical records via smart contracts, but also make it easy to integrate electronic medical records and share medical resources.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419561","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00074
Liying Xia, Baichang Zhong
This paper conducted a questionnaire survey to investigate the cooperative and competitive personality of 171 primary school students in the robotics course. Results indicated: (1) The cooperative personality of students is significantly higher than that of competition. (2) There is no significant difference in cooperative and competitive personality between boys and girls. (3) The correlation coefficient between students' cooperative personality and their academic achievement in the robotics course failed to reach significance. (4) There is also a very low-level correlation between students' competitive personality and their academic achievement in the robotics course. Accordingly, this paper proposes that teachers can apply the co-opetition design in the robotics course to provide multiple paths for students with different cooperative and competitive personalities.
{"title":"The Investigation of Primary School Students' Cooperative and Competitive Personality in Robotics Course","authors":"Liying Xia, Baichang Zhong","doi":"10.1109/Ubi-Media.2019.00074","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00074","url":null,"abstract":"This paper conducted a questionnaire survey to investigate the cooperative and competitive personality of 171 primary school students in the robotics course. Results indicated: (1) The cooperative personality of students is significantly higher than that of competition. (2) There is no significant difference in cooperative and competitive personality between boys and girls. (3) The correlation coefficient between students' cooperative personality and their academic achievement in the robotics course failed to reach significance. (4) There is also a very low-level correlation between students' competitive personality and their academic achievement in the robotics course. Accordingly, this paper proposes that teachers can apply the co-opetition design in the robotics course to provide multiple paths for students with different cooperative and competitive personalities.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122248695","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：