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23 results on '"wisdom education"'

1. Design, Research and Practice of Blockchain Based Smart Education Cloud Platform

Author

Zhu, Lin, Xu, Ying, Mei, Zheng, Lu, li, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Zhang, Yinjun, editor, and Shah, Nazir, editor

Published
2024
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4. Research on the intelligent path of college students’ network ideological and political education based on big data mining technology

Author

Zhou Dan

Subjects
data mining technology, ideological and political education, wisdom education, deep learning, big data, Mathematics, QA1-939
Abstract

As big data mining technology is known to directly change the development direction and internal management, and the behaviour of college students’ political wisdom network has also changed significantly, hence the application and analysis of data mining technology becomes indispensable. Bidirectional gated cyclic cell network can solve the gradient disappearance or gradient explosion existing in traditional models, but can also make up for the deficiency of extracting the contextual semantic information of long text effectively. Using the combination of big data-based mining technology and college students’ network ideology and politics, this paper designed a set of BiGRU_Attention framework based on college students’ network ideological wisdom framework and adopted big data mining technology to collect data. First, according to the Internet technology and information collection, design a complete set of college students’ ideological wisdom framework. Then, the GRU structure, BiGRU framework and Attention mechanism combined with BiGRU_Attention model are introduced. Meanwhile, Word2Vec is used to train the Chinese word vector. Finally, the BiGRU_Attention proposed in this paper is compared with several models. Experimental results show that the BiGRU_Attention proposed in this paper has a better accuracy of 96.32% over other models. The experimental results also show that the framework of ideological and political intelligence proposed in this paper can be applied to the campus environment of college students.

Published
2023
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5. Review on Research of Knowledge Tracking

Author

WU Shuixiu, LUO Xianzeng, XIONG Jian, ZHONG Maosheng, WANG Mingwen

Subjects
wisdom education, online learning, knowledge state, knowledge tracking model, deep learning, Electronic computers. Computer science, QA75.5-76.95
Abstract

Knowledge tracking, which aims to model students’ changing knowledge states over learning time based on their historical answer records and then predict students’ answer performance, is a core module supporting smart education systems and has received increasing attention from researchers. This paper comprehensively compares the research progress in this field, analyzes the basic theoretical research related to knowledge tracking, and analyzes the knowledge tracking models from probabilistic models, logical models, and deep learning-based models according to different research methods. Probabilistic models assume that learning follows Markov processes, logical models are a class of logic function-based models, and deep learning-based knowledge tracking models relying on the powerful feature extraction ability of deep learning have become a hot research topic in recent years. The improvement methods proposed for the problems faced by deep learning-based knowledge tracking models such as interpretability and lack of learning features are presented. The public datasets currently available to researchers are given as well as a comparison of the performance of different models. Finally, this paper concludes with a summary of this rapidly growing field on knowledge tracking, suggesting some possible future research directions for the problems of research in this area.

Published
2023
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6. NAGNet: A novel framework for real‐time students' sentiment analysis in the wisdom classroom.

Author

Zhu, Huihui, Hu, Pengyun, Tang, Xianpiao, Xia, Daoxun, and Huang, Haifeng

Subjects
SENTIMENT analysis, EMOTION recognition, FACIAL expression, EMOTIONAL state, EMOTIONS, EDUCATIONAL technology, USER-generated content
Abstract

Summary: Facial expression is the basis of human emotion recognition, and we can infer the emotional state of human beings by analysing facial expressions. As the main method of human emotional expression, facial expression contains much information about inner emotional changes. In recent years, with the wide application of artificial intelligence in education, related research on student sentiment analysis has become a hot topic in the educational technology field. Analysing affective data is helpful for understanding students' learning status and provides an important basis for the effective implementation of learning interventions, which is of great significance for the evaluation of teaching effects and changes in teaching methods. However, traditional learner emotion recognition methods have some problems, such as low recognition rates, complex algorithms, poor robustness, and easy loss of the key information of facial expression features. Therefore, this article proposes a learner emotion recognition method based on NAGNet. The network model is composed of Res2Net, nonlocal attention and GeM pooling, which can fuse global expression feature information to realize fine‐grained sentiment analysis. Additionally, we conducted training and experiments on the large‐scale learner emotion dataset FERPlus. The NAGNet model trained by the public emotion dataset FERPlus has a recognition accuracy of 89.3% for eight kinds of student emotions. The experimental results show that the method can quickly and accurately identify learner emotional states. We conduct experiments in a real classroom scenario, and use the NAGNet model proposed in this article to analyse and detect students' real‐time sentiment. Then teachers improve teaching methods by understanding the feedback of students' classroom status. Therefore, this method has important reference significance in the construction of wisdom classrooms and wisdom learning environments. [ABSTRACT FROM AUTHOR]

Published
2023
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7. 基于知识图谱的智慧教育研究热点 及发展趋势探析.

Author

马燕, 陈敏, and 廖家利

Abstract

Copyright of Digital Education is the property of Haiyan Publishing Co. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023

8. Economic Management Course Recommendation Algorithm in Smart Education Cloud Platform

Author

Wang, Jiajie, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Fu, Weina, editor, and Sun, Guanglu, editor

Published
2022
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9. Research on Data Mining Technology of Online Intelligent Education Under Collaborative Learning

Author

Zhang, Zhi, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Fu, Weina, editor, and Sun, Guanglu, editor

Published
2022
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11. Under the Mode of 'Internet Plus', Construction and Practice of Regional Intelligent Education Cloud Platform—Take E City’s Smart Education Cloud Platform Construction as an Example

Author

Kaihua, Liang, Mei, Chen, Dongying, Wang, Guoning, Wei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, Pei, Yan, editor, and Wu, Wei-Chen, editor

Published
2022
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12. Connotation and Construction Assumption of Wisdom Education in the Era of Artificial Intelligence

Author

Wei, Fengyun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, Pei, Yan, editor, and Wu, Wei-Chen, editor

Published
2022
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15. Wisdom Course Teaching Under the Background of the Big Data Era

Author

Wang, Yuying, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Atiquzzaman, Mohammed, editor, Yen, Neil, editor, and Xu, Zheng, editor

Published
2021
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16. Construction Strategy of Smart English Teaching Platform from the Perspective of 'Internet + Education'

Author

Wei, Zhenhua, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, MacIntyre, John, editor, Zhao, Jinghua, editor, and Ma, Xiaomeng, editor

Published
2021
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17. Influence of Introducing Artificial Intelligence on Autonomous Learning in Vocational Education

Author

Hu, Zhiquan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2021
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19. The Essence and Composition Elements of Wisdom Education.

Author

Jincheng Wang

Subjects
*WISDOM, *EDUCATIONAL change, *INFORMATION society, *INFORMATION technology
Abstract

The advancement of modern information technology has brought innovative ideas to education and has also supported education reform and development. At present, China's education information level has significantly improved, providing strong support for wisdom education development. In our opinion, wisdom education is a very pertinent choice and essential trend of China's education development in the information age. This article discusses the correct understanding of wisdom education, clarifies the basic structure of wisdom education, and makes several suggestions for the development of wisdom education. [ABSTRACT FROM AUTHOR]

Published
2021
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20. Wisdom Course Teaching Under the Background of the Big Data Era

Author

Wang, Yuying

Subjects
Big data, Wisdom education, ComputingMilieux_COMPUTERSANDEDUCATION, Online teaching, Article
Abstract

Big data not only promotes the continuous development and innovation of cloud computing, Internet of things and mobile Internet technology, but also provides technical support and carrier for the development of education informatization. It has become an important driving force of Internet technology and education informatization. Under the background of big data era, technology is constantly reshaping the education and teaching ecology, teaching methods and teaching process, the consciousness of educators and the way of knowledge transmission and acceptance, so intelligent education emerges as the times require. Big data helps to accurately track teaching and learning, so that teachers can master the personalized needs and development characteristics of students. This provides a strong support for the realization of individualized teaching and intelligent teaching. Based on the background of big data era, this paper discusses the asynchronous recording and broadcasting online teaching, the synchronous live online teaching, MOOC (Massive Open Online Courses) and SPOC (Small Private Online Courses), in order to provide help for the development of network education.

Published
2020

21. YuHua Education fetches $198m from HK IPO.

Author

Breen, Jonathan

Subjects
GOING public (Securities), BANKING industry, FOREIGN investments, FINANCIAL markets
Abstract

China YuHua Education Corp has scooped up HK$1.5bn ($198.1m) after seeing a global turnout of investors for its IPO, according to a banker close to the deal. [ABSTRACT FROM AUTHOR]

Published
2017

22. Wisdom Education lands $110m from pre-Trump IPO.

Author

Breen, Jonathan

Subjects
GOING public (Securities), BANKERS, BANKING industry, FOREIGN investments, INVESTORS
Abstract

Chinese private school operator Wisdom Education International Holdings has sealed its HK$850m ($109.6m) IPO, finding enough demand to make it through a tight window while defying Trump-inspired jitters, according to a banker working on the deal. [ABSTRACT FROM AUTHOR]

Published
2017

23. Mainland pair opt for Hong Kong listings.

Author

Breen, Jonathan

Subjects
GOING public (Securities)
Abstract

China New University Group Co and Luzhou Xinglu Water Co are looking to float in Hong Kong, and have filed for IPO approvals with the city's exchange. [ABSTRACT FROM AUTHOR]

Published
2016

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