[1]CHEN Enhong,LIU Qi,WANG Shijin,et al.Key techniques and application of intelligent education oriented adaptive learning[J].CAAI Transactions on Intelligent Systems,2021,16(5):886-898.[doi:10.11992/tis.202105036]
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Key techniques and application of intelligent education oriented adaptive learning

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 16 Number of periods: 2021 5 Page number: 886-898 Column: 吴文俊人工智能科技进步奖一等奖 Public date: 2021-09-05
Title:
Key techniques and application of intelligent education oriented adaptive learning
Author(s):
CHEN Enhong1;  LIU Qi1;  WANG Shijin2;  HUANG Zhenya1;  SU Yu1; 2;  DING Peng2;  MA Jianhui1;  ZHU Bo2
1. Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;
2. iFLYTEK Co., Ltd, Hefei 230088, China
Keywords:
adaptive learning; intelligent education; teaching resources representation; quality evaluation; content retrieval; cognitive diagnosis; knowledge tracing; personalized recommendation; adaptive recommendation; intelligent education system
CLC:
TP18
DOI:
10.11992/tis.202105036
Abstract:
This paper is an introduction to our main work in winning of the 10th Wu Wenjun Artificial Intelligence Science and Technology Award. In response to key technical problems in adaptive learning, such as the difficulties in the representation of teaching resources, the diagnosis of knowledge state and the design of learning strategies, we first constructed a new framework for data-driven unsupervised representation of teaching resources, which significantly improves the accuracy and efficiency of quality evaluation and content retrieval of teaching resources. Then proposed a new method for learner cognitive diagnosis based on deep learning, which breaks through the scale-based research paradigm of educational measurement theories. And further designed a personalized recommendation technology based on knowledge matching and an adaptive recommendation technology based on multi-objective matching, meeting the complex constraints of intelligent education scenarios and the diverse learning targets of learners. Finally, an intelligent education system— “Zhixue.com” was developed for basic education, which has been popularized and used throughout the country. This system plays a positive role in the development of China’s intelligent education.
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