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Research on Personalized Exercises and Teaching Feedback Based on Big Data

Published: 19 May 2018 Publication History

Abstract

With the rapid development of information technology, big data plays an increasingly important role in the research and practice of education and teaching. Online education has also become a research hotspot. To solve the problem of lack of personalized exercises and accurate teaching feedback in online education, a content-based recommendation model in big data and a clustering model based on EM algorithm is proposed in this paper. First of all, the students' answer of questions is recorded. Then the characteristic information is extracted, so recommends of the exercises are provided by the model according to the personal characteristic information. Then, all the students' recommendation information is stored in the feature library, in which the information of students are clustered, and the teaching effect is fed back according to the characteristic parameters of each category. On the one hand, the status of students' learning is fed back; On the other hand, the level of teachers' teaching level is also fed back. Finally, the model works well through experiments, with the good performance that it can improve the efficiency of online learning.

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      cover image ACM Other conferences
      ICIIP '18: Proceedings of the 3rd International Conference on Intelligent Information Processing
      May 2018
      249 pages
      ISBN:9781450364966
      DOI:10.1145/3232116
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Guilin: Guilin University of Technology, Guilin, China
      • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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      Published: 19 May 2018

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      Author Tags

      1. EM algorithm
      2. online learning
      3. personalized exercises
      4. recommendation algorithm
      5. teaching feedback

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