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Research on Intelligent Evaluation Mechanism Enabling Four-Dimensional Experimental Ability Student Portrait

Published: 05 May 2023 Publication History

Abstract

Since the new era, how to combine engineering experimental courses with intelligent technology is becoming a key educational topic, and also a new requirement for the development of education and teaching theories in the new era. The organization of the course is optimized for the problems existing in the computer organization experimental course. By mining four primary indicators of students' functionality, extensibility, integrality and innovative and eight secondary indicators in the learning data as the evaluation indexes of students' ability, and constructing student portraits based on student data. Using principal component analysis, K-means clustering algorithm and radar chart, three types of student portraits are presented visually. The student portraits not only present the experimental ability of each student group, but also help teachers analyze the common problems of students, which helps teachers make teaching interventions to improve students' learning efficiency and effectiveness.

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    ICETM '22: Proceedings of the 2022 5th International Conference on Education Technology Management
    December 2022
    415 pages
    ISBN:9781450398015
    DOI:10.1145/3582580
    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 the author(s) 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

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    Published: 05 May 2023

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    Author Tags

    1. Data-driven
    2. Intelligent assessment
    3. Personalized teaching
    4. Student portrait

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