A System for Finding and Improving the Relevant Contents of Digital Textbooks based on Quizzes’ Contents

Authors

  • Lingyu LI Author
  • Noriko UOSAKI Author
  • Kousuke Mouri Author
  • Chengjiu YIN Author

DOI:

https://doi.org/10.58459/icce.2019.198

Abstract

In this paper, we developed a digital textbook content improvement system, which can help teachers to find and improve the relevant content of digital textbook objectively based on the contents of quizzes. Based on the DITeL system, we have designed two modules of the system configuration. The first part includes the functions such as registration, modifications and deletions of the contents of questions, optional items and students’ answers, and the calculation and display of average grades ratio about questions which have been answered by students. The second part is based on the question and the correct answer, automatically to search relevant page about the digital textbook. We aim to use the system that students can take quizzes in every lesson to test the level of mastery of their knowledge. And teachers can find which questions that students got lower scores, and which the contents of relevant page about the digital textbook need to be improved.

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Published

2019-12-02

How to Cite

A System for Finding and Improving the Relevant Contents of Digital Textbooks based on Quizzes’ Contents. (2019). International Conference on Computers in Education. https://doi.org/10.58459/icce.2019.198