Abstract
Under the general direction of information technology in education, traditional teaching methods are gradually integrating with intelligent technology. The notebook used for recording past mistakes on exams or exercises will be referred to as the “mistake notebook”, which has been proved to be an effective learning tool in practice, but due to its difficulty in recording, retrieval and low efficiency, it also needs to be transformed into intelligent and electronic. The research group has proposed and designed a smart mistake notebook based on AI and big data. By automatically collating and analysing students’ mistakes, it will help students to use the mistake notebook more efficiently and review more effectively and accurately to improve their academic performance.
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References
The State Council issued the Development Plan for the New Generation of Artificial Intelligence. China Standardization. 503(15), 28 (2017)
Chaozi, L.: Comprehensively promoting education modernization with education informatization to open a new journey of education in the intelligent era. People’s Educ. 2, 40–43 (2019)
Shun, Z., Libin, H.: AI technology helps to establish and apply practical research on students’ error books. China Modern Educ. Equip. 16, 7–8 (2019)
Meng, W.: Research on natural scene text detection and recognition method based on deep learning. Guangdong University of Technology (2019)
Wen, S.: Research on induction motor fault diagnosis method based on deep learning model. Nanjing Southeast University (2017)
Chunming, W., Jiansheng, W.: Student model design of intelligent teaching system based on neural network. Intell. Comput. Appl. 1(6), 52–53 (2011)
Guoqiang, H., Lizhen, L., Chao, D.: Design of student models for intelligent learning systems. Comput. Eng. Design. 30(10), 2554–2557 (2009)
Chuanqi, W.: Research and implementation of RESTful-based mobile teaching aid system. Network Security Technology and Application (2009)
Wenshui, M.: Research on the application of MVVM framework in Web front-end. Network Secur. Technol. Appl. 196(4), 64 (2017)
Yanan, C.: Research and application of microservices-based software architecture design method. Beijing University of Posts and Telecommunications (2019)
Acknowledgements
This research was supported by the Humanities and Social Science Research Fund Project of the Ministry of Education of China in 2017 (No. 17YJA880004) and the National College Student Innovation and Entrepreneurship Training Program in 2021 (No. 202111057015).
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Yu, Z., Cen, G., Zhao, L., Zhu, C. (2023). Design of Smart Mistake Notebook Based on AI and Big Data. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_2
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DOI: https://doi.org/10.1007/978-981-99-2443-1_2
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