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Research on Data Visualization Analysis in Education Curriculum Quality Management and Student Development

Published: 16 October 2020 Publication History
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  • Abstract

    With the continuous application of information technology in the field of education, human abilities to produce and acquire data have increased exponentially. To visualize the data, it needs to go through the processes of acquisition, analysis, filtering, mining, presentation, modification, and interaction. At the same time, it takes into account the needs of education curriculum quality management and student development issues, reflecting the characteristics of visualization, association, art, and interaction. Using data visualization tools and technologies, teachers can intuitively present knowledge to students, understand students' learning status in time, conduct classroom teaching, teaching intervention, teaching evaluation; students can make self-evaluation, discover their learning problems in time, and form a knowledge framework and interconnection system to promote the expression and internalization of knowledge; teaching managers can master the teaching effect of teachers and the learning situation of students, and adjust the goals, methods and strategies of teaching management and decision-making.

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    Cited By

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    • (2023)Research and Application of AI-Enabled EducationData Science10.1007/978-981-99-5971-6_30(420-432)Online publication date: 15-Sep-2023
    • (2020)Design and implementation of intelligent laboratory control system based on Arduino2020 2nd International Conference on Information Technology and Computer Application (ITCA)10.1109/ITCA52113.2020.00166(772-777)Online publication date: Dec-2020

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    1. Research on Data Visualization Analysis in Education Curriculum Quality Management and Student Development

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      cover image ACM Other conferences
      CIPAE 2020: Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education
      October 2020
      527 pages
      ISBN:9781450387729
      DOI:10.1145/3419635
      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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      New York, NY, United States

      Publication History

      Published: 16 October 2020

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      Author Tags

      1. Curriculum quality management
      2. Data visualization
      3. Educational value
      4. Student
      5. development issues

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      CIPAE 2020 Paper Acceptance Rate 101 of 216 submissions, 47%;
      Overall Acceptance Rate 101 of 216 submissions, 47%

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      View all
      • (2023)Research and Application of AI-Enabled EducationData Science10.1007/978-981-99-5971-6_30(420-432)Online publication date: 15-Sep-2023
      • (2020)Design and implementation of intelligent laboratory control system based on Arduino2020 2nd International Conference on Information Technology and Computer Application (ITCA)10.1109/ITCA52113.2020.00166(772-777)Online publication date: Dec-2020

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