利用发现学习模式整合当地小吃学习,提高科学学习兴趣

W. M. Nisa, I. Wilujeng, D. Pradana
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引用次数: 0

摘要

本研究的目的是在苍岭县初中1采用发现学习模式对苍岭县地方小吃进行综合学习,以确定学生学习科学的兴趣。本研究为实验前设计,采用一组前测后测设计。本研究的样本为2019/2020年VIIIA班31名学生。数据收集技术采用观察和问卷调查的学习兴趣治疗前后,以衡量学生的学习兴趣。通过观察课堂上发生的活动来进行观察。在调查问卷中,学习兴趣工具的指标是兴趣、愉悦、注意和欲望或意识。学习兴趣数据以分数(定量数据)的形式生成,4个量表分别为强烈同意(SS)、同意(S)、不太同意(KS)、不同意(TS)。该问卷由研究人员开发,通过23个问题显示学习兴趣指标。数据分析技术通过使用n增益分析技术和描述性分析通过转换百分比分析的结果。结果表明,实施局部潜能与发现学习模式的整合学习后,学生学习科学的兴趣有所增加,中等类别的n -增益得分为0.59。学生学习兴趣描述性分析的平均百分比值从中等标准的72.01%增加到高标准的88.56%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increased Interest in Science Learning Through Integrated Learning of Local Snacks with The Discovery Learning Model
This study aimed to determine the interest in learning science after using integrated learning of local snacks in Cangkringan with Discovery Learning model at Cangkringan Junior High School 1. This study is a pre-experimental design that used a onee-group pretest-posttest design. The sample in this study were 31 students of class VIIIA lesson 2019/2020. Data collection techniques by using a observation and questionnaire of interest in learning before and after treatment in order to measure student interest in learning. Observations carried out by holding observations of activities that are taking place in class. The indicator of learning interest instruments, in the questionnaire is interest, pleasure, attention, and desire or awareness. Learning interest data generated in the form of scores (quantitative data) with 4 scale were strongly agree (SS), agree (S), less agree (KS), and disagree (TS). The questionnaire was developed by researchers by showing indicators of interest in learning with 23 questions. Data analysis techniques by using N-Gain analysis techniques and descriptive analysis by converting the results of percentage analysis. the result showeed that the students' interest in learning science after implementation of integrated learning of local potential with discovery learning models increases with an N-gain score of 0.59 in the medium category. The average percentage value of descriptive analysis of student learning interest has increased from 72.01 percent with moderate criteria to 88.56 percent with high criteria.
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