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Determination of Learning Media in Elementary School using Multi-Objective Optimization on the Basis of Ratio Analysis Method

机译:基于比率分析法的多目标优化确定小学学习媒体

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In the learning process, learning media serves to improve the quality of the teaching and learning process. However, so far the determination of learning media in a class has not paid attention to several aspects, namely ease in getting media, characteristics of students to the type of media, learning time in the use of media, as well as funds needed to obtain media. This study aims to assist teachers in determining the optimal learning media based on student learning styles, as well as using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method in the optimization process. Determination of student learning styles is determined through filling questionnaires by students in the system that has been given a knowledge base and rules for determining learning styles. The MOORA method is used as a multi-objective system that optimizes several conflicting attributes simultaneously. The attributes needed in the optimization process in determining learning media are the ease of getting the media and student learning styles as the attributes to be maximized, as well as the time and funds required as the attributes to be minimized. The experimental result demonstrates that as much as 0.0859% for the assessment of each student experiencing a discrepancy because several factors can affect the acquisition of student learning outcomes, namely internal, external, and learning approaches. Besides, the assessment of the grade average shows a mismatch of 0.25%, because the system uses several criteria so that it does not only focus on the assessment criteria.
机译:在学习过程中,学习媒体有助于提高教学过程的质量。但是,到目前为止,在课堂上确定学习媒体的方式尚未注意几个方面,即获取媒体的便利性,学生对媒体类型的特征,使用媒体的学习时间以及获得学习所需的资金。媒体。本研究旨在帮助教师根据学生的学习风格确定最佳学习媒体,并在优化过程中使用基于比率分析的多目标优化(MOORA)方法。学生学习风格的确定是通过在系统中的学生填写调查表来确定的,该系统已获得确定学习风格的知识库和规则。 MOORA方法用作同时优化多个冲突属性的多目标系统。确定学习媒体时,优化过程所需的属性包括:使媒体和学生的学习方式易于获得,以使属性最大化,以及将时间和资金所需的属性,作为最小化。实验结果表明,对每位经历差异的学生进行评估的比例高达0.0859%,因为几个因素会影响学生学习成果的获得,即内部,外部和学习方式。此外,由于系统使用多个标准,因此平均成绩的评估显示出0.25%的不匹配,因此它不仅关注评估标准。

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