Pub Date : 2021-11-01DOI: 10.1109/WAIE54146.2021.00012
Chen Fu, W. Liu, Jian Xu, Jing Xu, Wen-Fang Cheng
Knowledge graph provides an ideal technical means to automatic question generation. The classical knowledge graph contains direct relationship between entities and their attributes, but it is difficult to contain implicit logical relationships, like evolution, analogy and causality. This is not conducive to the generation for logical questions. In this paper, we analyzed true-false question features in computer networks course and classified questions into three types: fact discrimination(FD), conception discrimination(CD) and logic discrimination(LD). In order to generate these three types of question, we propose an enhanced knowledge graph (E-KG). By upgrading model layer and data layer, we can use inheritance relationship to describe knowledge points from the same knowledge domain. This helps to find analogical knowledge more conveniently. We label the implicit logical relationships between entities and use reference sentence to support and explain these logical relationships. Finally, we construct an E-KG by using computer networks knowledge and analysis the true-false question generated by our E-KG to verify the help of E-KG with question generation.
{"title":"Enhanced Knowledge Graph for True-false Question Generation: A Case Study in Computer Networks Course","authors":"Chen Fu, W. Liu, Jian Xu, Jing Xu, Wen-Fang Cheng","doi":"10.1109/WAIE54146.2021.00012","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00012","url":null,"abstract":"Knowledge graph provides an ideal technical means to automatic question generation. The classical knowledge graph contains direct relationship between entities and their attributes, but it is difficult to contain implicit logical relationships, like evolution, analogy and causality. This is not conducive to the generation for logical questions. In this paper, we analyzed true-false question features in computer networks course and classified questions into three types: fact discrimination(FD), conception discrimination(CD) and logic discrimination(LD). In order to generate these three types of question, we propose an enhanced knowledge graph (E-KG). By upgrading model layer and data layer, we can use inheritance relationship to describe knowledge points from the same knowledge domain. This helps to find analogical knowledge more conveniently. We label the implicit logical relationships between entities and use reference sentence to support and explain these logical relationships. Finally, we construct an E-KG by using computer networks knowledge and analysis the true-false question generated by our E-KG to verify the help of E-KG with question generation.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"377 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125413807","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00009
Xuehu Yan, Cheng-Yin Yang, Lintao Liu, Yue Jiang, Canju Lu
This paper analyzes and explores the background and significance of research-and-discussion teaching, preteaching preparations and specific implementation methods. Through the introduction of the teaching practice of the “information hiding technology” course, the paper explains that research-and-discussion teaching is useful for stimulating students' interest, cultivating students' academic research ability and sense of teamwork, and expanding the comprehensive knowledge of students.
{"title":"Discussion on the Application Pattern of Research-And-Discussion Teaching in the Teaching of Computer Courses for Postgraduates*","authors":"Xuehu Yan, Cheng-Yin Yang, Lintao Liu, Yue Jiang, Canju Lu","doi":"10.1109/WAIE54146.2021.00009","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00009","url":null,"abstract":"This paper analyzes and explores the background and significance of research-and-discussion teaching, preteaching preparations and specific implementation methods. Through the introduction of the teaching practice of the “information hiding technology” course, the paper explains that research-and-discussion teaching is useful for stimulating students' interest, cultivating students' academic research ability and sense of teamwork, and expanding the comprehensive knowledge of students.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114780521","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00022
Chien-Sing Lee, C. Ng, Jing-Sze Lee, Kee-Xian Ngo, Shin-Mae Teh, Akmal bin Mohamed Ikraam, Chze-Yee Lim, Satvik Shashi Pandey
The pandemic has caused much mental, social and financial stress. Policies and standard operating procedures have helped to alleviate some stress and create systematicity, expectancy, and predictability. This paper aims to alleviate some of the stress through model-based social customer relationship management system, an Augmented Reality board game, and two mini tourism games. The first aims to increase collaboration among stakeholders and to increase more effective and efficient resource management. The second phases players through the preparation, recruitment, attack and observation phases at a slower pace than competitive gaming. The third and fourth project introduce places and trigger memories through mini games respectively. These provide analogical training in social customer relationship management and in developing more systematic thinking, expectations, fun and mindfulness. AI-assistance would enable personalization/intelligent context-aware recommendations.
{"title":"Model-based Customer-Relationship Management System and Strategic Board Game: Analogical Training","authors":"Chien-Sing Lee, C. Ng, Jing-Sze Lee, Kee-Xian Ngo, Shin-Mae Teh, Akmal bin Mohamed Ikraam, Chze-Yee Lim, Satvik Shashi Pandey","doi":"10.1109/WAIE54146.2021.00022","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00022","url":null,"abstract":"The pandemic has caused much mental, social and financial stress. Policies and standard operating procedures have helped to alleviate some stress and create systematicity, expectancy, and predictability. This paper aims to alleviate some of the stress through model-based social customer relationship management system, an Augmented Reality board game, and two mini tourism games. The first aims to increase collaboration among stakeholders and to increase more effective and efficient resource management. The second phases players through the preparation, recruitment, attack and observation phases at a slower pace than competitive gaming. The third and fourth project introduce places and trigger memories through mini games respectively. These provide analogical training in social customer relationship management and in developing more systematic thinking, expectations, fun and mindfulness. AI-assistance would enable personalization/intelligent context-aware recommendations.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124043162","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00013
Molan Yang
Virtual simulation technology has recently been used in a variety of fields including architecture, medicine and more. Nevertheless, there is not much application of this technology in education, particularly high school education. Through the COVID-19 pandemic, people have begun to recognize the power of online learning. One limitation of current online education (aka 1.0 version of online education) is that it continues to adopt the conventional classroom education method and only resolves the difficulty of long-distance communication, rather than fully leveraging computer technology, which leads to a lack of interaction and practical experience. Virtual simulation technology (aka 2.0 version of online education) can assist to plug this breach by creating virtual classrooms and erecting an education system based on virtual scenes that is more advantageous to students. Additionally, Virtual Classroom is open-source and intended to run on the majority of devices; thus it can benefit more students, including those who have no access to high-quality resources, at an extremely low rate.
{"title":"To What Extent Virtual Simulation Technology Can Aid Education?","authors":"Molan Yang","doi":"10.1109/WAIE54146.2021.00013","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00013","url":null,"abstract":"Virtual simulation technology has recently been used in a variety of fields including architecture, medicine and more. Nevertheless, there is not much application of this technology in education, particularly high school education. Through the COVID-19 pandemic, people have begun to recognize the power of online learning. One limitation of current online education (aka 1.0 version of online education) is that it continues to adopt the conventional classroom education method and only resolves the difficulty of long-distance communication, rather than fully leveraging computer technology, which leads to a lack of interaction and practical experience. Virtual simulation technology (aka 2.0 version of online education) can assist to plug this breach by creating virtual classrooms and erecting an education system based on virtual scenes that is more advantageous to students. Additionally, Virtual Classroom is open-source and intended to run on the majority of devices; thus it can benefit more students, including those who have no access to high-quality resources, at an extremely low rate.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124675","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00011
Ye Lili, Yao Zhengwei
At present, the application of handwritten numeral practice is common. However, these applications only focus on the imitation practice of drawing red, that is, they only focus on the similarity of shape, and they don't pay attention to the basic stroke order and stroke number. What's more, they can't judge the quality of digital writing and give real-time feedback. In this paper, the handwriting of children is preprocessed by mathematical morphology operation, and then the convolution neural network is used to recognize the number. After recognition, the handwriting is processed with fine lines, and the improved Hilditch algorithm is used for skeleton extraction. The next the features of handwritten numerals are extracted, such as corners, lines, arcs, the proportion and position of handwriting pixels. These features are used in the fuzzy comprehensive evaluation method to realize the real-time evaluation and feedback of handwritten numbers, and truly achieve the purpose of digital writing practice. Experiments show that the algorithm has good real-time and accuracy, and can improve the efficiency and enthusiasm of children's independent practice of digital writing.
{"title":"Real-time Feedback and Evaluation Algorithm for Children's Digital Writing Practice","authors":"Ye Lili, Yao Zhengwei","doi":"10.1109/WAIE54146.2021.00011","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00011","url":null,"abstract":"At present, the application of handwritten numeral practice is common. However, these applications only focus on the imitation practice of drawing red, that is, they only focus on the similarity of shape, and they don't pay attention to the basic stroke order and stroke number. What's more, they can't judge the quality of digital writing and give real-time feedback. In this paper, the handwriting of children is preprocessed by mathematical morphology operation, and then the convolution neural network is used to recognize the number. After recognition, the handwriting is processed with fine lines, and the improved Hilditch algorithm is used for skeleton extraction. The next the features of handwritten numerals are extracted, such as corners, lines, arcs, the proportion and position of handwriting pixels. These features are used in the fuzzy comprehensive evaluation method to realize the real-time evaluation and feedback of handwritten numbers, and truly achieve the purpose of digital writing practice. Experiments show that the algorithm has good real-time and accuracy, and can improve the efficiency and enthusiasm of children's independent practice of digital writing.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121852199","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 : 2021-11-01DOI: 10.1109/waie54146.2021.00007
{"title":"Reviewers WAIE 2021","authors":"","doi":"10.1109/waie54146.2021.00007","DOIUrl":"https://doi.org/10.1109/waie54146.2021.00007","url":null,"abstract":"","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187540","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00017
Bojuan Niu, Jun Ma, Zezhou Yang
Recommender system has played a pivotal role in various fields and scenarios, but there are rare recommender systems for children's books aged 0–12 in China. In this paper, a deep learning named as the Neural Collaborative Filtering (shortly called NCF), is used to predict the list of recommended books for children. By comparing with the other traditional recommender algorithms, such as User-based collaborative filtering (briefly named User-CF) and Item-based collaborative filtering (briefly named Item-CF), it is found that NCF is more suitable for the recommendation of children's books than other methods. NCF has a higher accuracy than others. Through the experiment in this paper, NCF in Hit Ratio (HR) is 0.528 and 0.475 higher than User-CF and Item-CF respectively, in Normalized Discounted Cumulative Gain (NDCG) is 0.543 and 0.473 higher than the last two respectively and in Mean Average Precision (MAP) is 0.550 and 0.475 higher than the last two respectively. Therefore, among the recommender systems for children's books, the NCF model based on deep learning is fitted for the recommended scenes for children's reading, it could be optimized in the next step in further.
推荐系统在各个领域和场景中都发挥着举足轻重的作用，但在中国，针对0-12岁儿童图书的推荐系统还很少见。在本文中，一种名为神经协同过滤(简称NCF)的深度学习被用于预测儿童推荐书籍列表。通过与其他传统推荐算法，如基于用户的协同过滤(User-based collaborative filtering，简称User-CF)和基于物品的协同过滤(Item-CF)进行比较，发现NCF比其他方法更适合儿童图书推荐。NCF具有较高的准确性。通过本文的实验，Hit Ratio (HR)的NCF分别比User-CF和Item-CF高0.528和0.475,Normalized Discounted Cumulative Gain (NDCG)的NCF分别比后两者高0.543和0.473,Mean Average Precision (MAP)的NCF分别比后两者高0.550和0.475。因此，在儿童图书推荐系统中，基于深度学习的NCF模型适合儿童阅读推荐场景，可以在下一步进一步优化。
{"title":"A Comparative Study of CF And NCF In Children's Book Recommender System","authors":"Bojuan Niu, Jun Ma, Zezhou Yang","doi":"10.1109/WAIE54146.2021.00017","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00017","url":null,"abstract":"Recommender system has played a pivotal role in various fields and scenarios, but there are rare recommender systems for children's books aged 0–12 in China. In this paper, a deep learning named as the Neural Collaborative Filtering (shortly called NCF), is used to predict the list of recommended books for children. By comparing with the other traditional recommender algorithms, such as User-based collaborative filtering (briefly named User-CF) and Item-based collaborative filtering (briefly named Item-CF), it is found that NCF is more suitable for the recommendation of children's books than other methods. NCF has a higher accuracy than others. Through the experiment in this paper, NCF in Hit Ratio (HR) is 0.528 and 0.475 higher than User-CF and Item-CF respectively, in Normalized Discounted Cumulative Gain (NDCG) is 0.543 and 0.473 higher than the last two respectively and in Mean Average Precision (MAP) is 0.550 and 0.475 higher than the last two respectively. Therefore, among the recommender systems for children's books, the NCF model based on deep learning is fitted for the recommended scenes for children's reading, it could be optimized in the next step in further.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126167023","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 : 2021-11-01DOI: 10.1109/WAIE54146.2021.00020
Zengtao Zhao, Dinglin Li, Jun She, Hao Zhang, Yupeng Zhou, Lei Zhao
The digital twin model of hydropower plants is designed to make full use of the massive data information of the new power system, to describe the people, events, things and their relationships in the power system in a digital way, and to provide hydropower companies with effective massive data fusion and mining capabilities. With the development of big data and artificial intelligence technology, digital twin technology is gradually becoming one of the core driving forces to promote the digital transformation of the power industry. The paper expounds the representation method of the digital twin model of hydropower plants, and proposes a data-driven model construction and application framework for the complexity and nonlinear characteristics of the power system. Finally, the effectiveness of the method in this paper is verified by a case of fault diagnosis in hydropower plants.
{"title":"Construction and Application of Digital Twin Model of Hydropower Plant Based on Data-driven","authors":"Zengtao Zhao, Dinglin Li, Jun She, Hao Zhang, Yupeng Zhou, Lei Zhao","doi":"10.1109/WAIE54146.2021.00020","DOIUrl":"https://doi.org/10.1109/WAIE54146.2021.00020","url":null,"abstract":"The digital twin model of hydropower plants is designed to make full use of the massive data information of the new power system, to describe the people, events, things and their relationships in the power system in a digital way, and to provide hydropower companies with effective massive data fusion and mining capabilities. With the development of big data and artificial intelligence technology, digital twin technology is gradually becoming one of the core driving forces to promote the digital transformation of the power industry. The paper expounds the representation method of the digital twin model of hydropower plants, and proposes a data-driven model construction and application framework for the complexity and nonlinear characteristics of the power system. Finally, the effectiveness of the method in this paper is verified by a case of fault diagnosis in hydropower plants.","PeriodicalId":101932,"journal":{"name":"2021 3rd International Workshop on Artificial Intelligence and Education (WAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133393028","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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