The Development of Collaborative Learning Talking Chips Based On Brain-Based Learning (BBL) for The Junior High School Science in The Agroecosystem Area

Ena Milada Tri Handayani, J. Prihatin, Kamalia Fikri
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引用次数: 5

Abstract

Agroecosystem area has abundant natural resources, but these natural resources cannot be utilized as learning resources needed in the learning process of students becoming passive, comfortable and power-efficient in remembering students. Learning involving students is done by learning Brain-Based Learning (BBL) collaborated with Talking Chips type collaborative learning model. The purpose of this study is to obtain a development process, obtain a valid model, and obtain a Talking Chips learning a model based on Brain-Based Learning (BBL) that is practical for SMP learning in the Agroecosystem area. This research was conducted in SMP Negeri 9 Jember with research subjects of class VII B in the academic year 2018/2019. The type of this research was (research and development), using 4-D model Thiagarajan, but only used 3 stages define, design, and develop. The technique of collecting data is by collecting product validation data, test methods, interviews with teachers, questionnaire teachers and students and observations. The data analysis technique consisted of product validation analysis, analytic analysis with N-gain and learning retention, and practicality analysis. The product validation results, which are 89.33%, are categorized as very valid. The effectiveness of learning outcomes is 0.78 with a high category while the retention results obtained based on the learning retention analysis are 89 with a high category. The results of practicality obtained from the teacher questionnaire response were 98%, the category was very good and the questionnaire student responses were 96% with a very good category.
农业生态区初中科学基于脑基学习(BBL)的协同学习谈话芯片的开发
农业生态区拥有丰富的自然资源,但这些自然资源不能作为学习过程中所需要的学习资源来利用,学生在记忆学生时变得被动、舒适、省力。学生参与的学习是通过学习基于大脑的学习(BBL)和Talking Chips式的协作学习模式来完成的。本研究的目的是获得一个发展过程,获得一个有效的模型,并获得一个基于Brain-Based learning (BBL)的Talking Chips学习模型,该模型适用于农业生态系统领域的SMP学习。本研究于2018/2019学年9月9日在尼日利亚SMP进行,研究对象为VII B班。这项研究的类型是(研究和开发),使用Thiagarajan的4-D模型,但只使用了定义、设计和开发3个阶段。收集数据的技术是通过收集产品验证数据、测试方法、教师访谈、师生问卷调查和观察。数据分析技术包括产品验证分析、n增益分析和学习保留分析和实用性分析。产品验证结果为非常有效,为89.33%。学习结果的有效性为0.78,属于高类别,而基于学习保留分析获得的保留结果为89,属于高类别。教师问卷回复率为98%,类别很好;学生问卷回复率为96%,类别很好。
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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