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首页> 外文期刊>International Journal of Innovative Computing Information and Control >A RULE-BASED EXPERT SYSTEM FOR AUTOMATIC QUESTION CLASSIFICATION IN MATHEMATICS ADAPTIVE ASSESSMENT ON INDONESIAN ELEMENTARY SCHOOL ENVIRONMENT
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A RULE-BASED EXPERT SYSTEM FOR AUTOMATIC QUESTION CLASSIFICATION IN MATHEMATICS ADAPTIVE ASSESSMENT ON INDONESIAN ELEMENTARY SCHOOL ENVIRONMENT

机译：印度尼西亚基础学校环境数学自适应评估中基于规则的自动分类专家系统

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摘要

This paper is part of research in developing a competency-based assessment system for mathematics in Indonesian elementary school environment. An essential task is to accurately classify questions based on competency and difficulty level. Thus, an expert system is needed to classify those questions since competency information is often manually defined by experts. The objectives of this work are replacing a human expert's role in the related knowledge engineering process and providing a rule-based expert system to supersede an expert to classify the questions. Five types of the rule-based algorithm: OneR, RIPPER, PART, FURIA, and J48, were applied to the dataset, which is comprised of 9454 real mathematics examination questions collected from several Indonesian elementary schools. Following the knowledge engineering principles, these algorithms generated the classification rules based on a pattern of the data. The rules of the best performing algorithm were utilized by a knowledge base for inference. Finally, to be able to fully measure the system performance, ten expert teachers were involved in the question classification step. The results confirm that the system meets the stated objectives in classifying the competency and the difficulty level of a question automatically.
机译：本文是在印度尼西亚小学环境中开发基于能力的数学评估系统研究的一部分。基本任务是根据能力和难度级别对问题进行准确分类。因此，由于能力信息通常是由专家手动定义的，因此需要一个专家系统来对这些问题进行分类。这项工作的目标是取代人类专家在相关知识工程过程中的角色，并提供一个基于规则的专家系统来取代专家对问题进行分类。五个类型的基于规则的算法：OneR，RIPPER，PART，FURIA和J48被应用于数据集，该数据集由从几家印度尼西亚小学收集的9454个真实数学考试题组成。遵循知识工程原理，这些算法根据数据模式生成分类规则。知识库利用最佳性能算法的规则进行推理。最后，为了能够全面评估系统性能，十名专家教师参与了问题分类步骤。结果证实该系统在自动对问题的能力和难度级别进行分类时达到了既定目标。

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  • 作者

    Umi Laili Yuhana; Siti Rochimah; Eko Mulyanto Yuniarno; Aliia Rysbekova; Alex Tormasi; Laszlo T. Koczy; Mauridhi Hery Purnomo;

  • 作者单位

    Department of Electrical Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia Department of Informatics Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia;

    Department of Informatics Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia;

    Department of Electrical Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia Department of Computer Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia;

    Department of Electrical Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya Jawa Timur 60111 Indonesia;

    Department of Informatics Szechenyi Istvan University Egyetem ter 1 9026 Gyor Hungary;

    Department of Telecommunications and Media Informatics Budapest University of Technology and Economics Magyar tudosok krt. 2 1117 Budapest Hungary Department of Informatics Szechenyi Istvan University Egyetem ter 1 9026 Gyor Hungary;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Adaptive assessment; Automatic question classification; Rule-based expert system;

    机译：适应性评估;自动问题分类;基于规则的专家系统;

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