21st Century Learning Skills Predictive Model Using PART Algorithm

Betchie E. Aguinaldo
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引用次数: 2

Abstract

The skillset of a graduate is the key to success to perform successfully in their chosen career path, thus, academic institution continuously develops strategic ways to develop and prepare the 21st century Learning skills of the student before they completed the higher education studies. This paper presents the 21st Century Learning Predictive Model in Programming Logic Formulation using PART classifier algorithm. It also aims to determine the significant attributes in the development of dataset for predictive model and generate a predictive model for 21st Century Learning Skills using PART classifier algorithm. Six (6) standardized questionnaire of 21st Century Learning Skills of one hundred eight (180) students were coded and used as a dataset of the study. The result of the customized assessment exam in programming logic formulation was used as response attributes of the datasets. As a result of the study, five (5) rules were generated using PART classifier algorithm. Among the 21st Century Learning skills, Communication is the strongest predicting attributes of successful performance of students in programming logic formulation.
基于PART算法的21世纪学习技能预测模型
毕业生的技能是在他们选择的职业道路上取得成功的关键,因此,学术机构不断开发战略方法来培养和准备学生在完成高等教育之前的21世纪学习技能。本文提出了一种基于PART分类器算法的21世纪规划逻辑公式学习预测模型。本文还旨在确定预测模型数据集开发中的重要属性,并使用PART分类器算法生成21世纪学习技能的预测模型。对108名学生的6份21世纪学习技能标准化问卷进行编码,作为本研究的数据集。将编程逻辑公式中自定义评估考试的结果作为数据集的响应属性。研究结果表明,使用PART分类器算法生成了5条规则。在21世纪的学习技能中,沟通是预测学生编程逻辑公式成功表现的最强属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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