首页> 外文OA文献 >EKSPERIMENTASI MODEL PEMBELAJARAN LEARNING CYCLE 7E (LC7E) DAN LC7E DISERTAI ASSESSMENT FOR LEARNING (AFL) PADA MATERI PELUANG DITINJAU DARI KECERDASAN MAJEMUK SISWA KELAS XI SMA DI KABUPATEN KARANGANYAR TAHUN PELAJARAN 2015/2016
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EKSPERIMENTASI MODEL PEMBELAJARAN LEARNING CYCLE 7E (LC7E) DAN LC7E DISERTAI ASSESSMENT FOR LEARNING (AFL) PADA MATERI PELUANG DITINJAU DARI KECERDASAN MAJEMUK SISWA KELAS XI SMA DI KABUPATEN KARANGANYAR TAHUN PELAJARAN 2015/2016

机译:从学生对KARANNYARARAR学术年级的XI类高中生的聪明才智进行的机会材料中的学习周期7E(LC7E)和LC7E学习模型与学习评估(AFL)的实验

摘要

ABSTRACT Aprillia Cosasi, S851408008. The Experimentation of Learning Cycle 7E (LC7E) Model and LC7E using Assesment for Learning (AfL) on The Topic of Probability Viewed from Students’ Multiple Intelligences for Class Grade XI of State Senior High Schools in Karanganyar Year 2015/2016. Advisor 1: Dr. Mardiyana, M.Si. Advisor 2: Dr. Sri Subanti, M.Si. Thesis: The Graduate Program in Mathematics Education, Faculty of Teacher Training and Education, Sebelas Maret University. Surakarta, Indonesia. 2015. This study aims to verify: (1) which students have better achievement, those who are taught by learning model LC7E, LC7E using AfL, or direct learning; (2) Which students have better multiple intelligence, those who have intrapersonal intelligence, linguistic intelligence, or interpersonal inteligence; (3) For each learning model, which students who have better achievement in Mathematics, those who have intrapersonal intelligence, linguistic intelligence, or interpersonal inteligence (4) For each multiple intelligence, which students who have better achievement in Mathematics, those who are given learning model LC7E, LC7E using AfL, or direct learning. This study is classified into experimental study. The populations of the study are grade XI natural class students of state senior high schools in Karanganyar year 2015/2016. Stratified cluster random sampling is utilized for collecting samples. The data collection technique of the study includes (1) documentation to know grades for even semester of grade X, for achievement data of pre-experiment; (2) a test to know students’ achievement in learning Mathematics; (3) and a questionnaire to know students’ multiple intelligences. One way Anova test is applied before conducting the study for three different samples. Prerequisite test is performend normality test using Liliefors method and homogeneity test using Bartlett method. Two ways Anova with 3x3 of factorial design is used for hypothesis test. If the results of variance analysis show that the null hypothesis is rejected, then post anava advence test will be done using Scheffe’ method. Based on the analysis, it can be concluded: (1) the students who are taught by learning model LC7E using AfL have better achievement in learning Mathematics than those who are taught using LC7E and direct learning model, while the students who are given LC7E learning model have the same achievement as those who are given direct learning model, (2) linguistic inteligence students have better achievement than intrapersonal intelligence and interpersonal intelligence students, while intrapersonal intelligence students have better achievement than interpersonal intelligence students, (3) in the LC7E learning model, intrapersonal intelligence students have better achievement than lingustic intelligence and interpersonal intelligence students, while linguistic intelligence students have same achievement as interpersonal intelligence students. In the LC7E using AfL learning model, interpersonal intelligence students have better achievement than linguistic intelligence students, while linguistic intelligence students have same achievement as intrapersonal intelligence students. In the direct learning model, linguistic inteligence students have better achievement than intrapersonal intelligence and interpersonal intelligence students, while intrapersonal intelligence students have same achievement as interpersonal intelligence students, (4) in intrapersonal intelligence category, the students who are taught by LC7E learning model have the same achievement as those who are taught using LC7E using AfL learning model, while the students who are given LC7E learning model and LC7E using AfL learning model have better achievement than those who are given direct learning model. In linguistic intelligence category, the students who are taught by LC7E learning model have the same achievement as those who are taught using LC7E using AfL, while the students who are given direct learning model have better achievement than those who are given LC7E using AfL learning model. In interpersonal intelligence category, the students who are taught by LC7E using AfL learning model have better achievement than those who are taught using LC7E learning model and direct learning model, while the students who are given LC7E learning model have better achievement than those who are given direct learning model. Keywords: Learning Cycle 7E (LC7E), Assesment for Learning (AfL), Direct Learning, Multiple Intelligence.
机译:摘要Aprillia Cosasi,S851408008。从2015/2016年Karanganyar州立高中XI级学生的多元智能中观察了关于概率主题的学习评估(AfL)学习周期7E(LC7E)模型和LC7E的实验。顾问1:Mardiyana博士,硕士顾问2:Mr。Si。Sri Subanti博士。论文:塞伯拉斯·马雷特大学教师培训和教育学院数学教育研究生课程。印度尼西亚,泗水。 2015年。这项研究旨在验证:(1)哪些学生的学习成绩更好,那些学习模型为LC7E,使用AfL或直接学习的LC7E的学生; (2)哪些学生的多元智力更好,那些具有人际交往能力,语言智能或人际交往能力的学生; (3)对于每种学习模式,哪些数学成绩更好的学生,哪些具有人际交往能力,语言智能或人际交往能力的学生(4)对于每种多元智能,哪些数学成绩更好的学生,将获得那些学习模型LC7E,使用AfL的LC7E或直接学习。该研究分为实验研究。这项研究的人口是2015/2016年Karanganyar州立高中的XI级自然班学生。分层聚类随机抽样用于收集样本。该研究的数据收集技术包括:(1)掌握甚至X年级学期成绩的文档,以获取实验前的成绩数据; (2)测试以了解学生在数学学习方面的成就; (3)和一份问卷,以了解学生的多种智能。在对三个不同样本进行研究之前,采用一种方法进行Anova测试。前提条件测试是使用Liliefors方法进行末端正态性测试,以及使用Bartlett方法进行均质性测试。假设检验使用两种采用因子设计3x3的Anova的方法。如果方差分析的结果表明原假设被否决,那么将使用Scheffe方法进行事后验证测试。根据分析,可以得出以下结论:(1)使用AfL学习模型LC7E的学生在学习数学方面比使用LC7E和直接学习模型的学生有更好的学习成绩。模型具有与直接学习模型相同的成就;(2)语言智能学生的成就比人际智力和人际智力学生要好,而人际智力的学生则比人际智力学生要好,(3)在LC7E学习中在模型中,人际智力学生的成绩要高于语言智力和人际智力学生,而语言智力学生的成绩与人际智力学生相同。在使用AfL学习模型的LC7E中,人际智力学生的成绩要优于语言智力学生,而语言智力学生的成绩与人际智力学生相同。在直接学习模型中,语言智能学生比人际智力和人际智力学生的成绩更好,而人际智力学生与人际智力学生的成就相同,(4)在人际智力类别中,采用LC7E学习模式的学生具有与使用AfL学习模型的使用LC7E的学生获得的成绩相同,而使用LC7E学习模型和使用AfL学习模型的LC7E的学生的成绩要好于使用直接学习模型的学生。在语言智力类别中,使用LC7E学习模型的学生的学习成绩与使用AfL使用LC7E的学生的学习成绩相同,而使用直接学习模型的学生比使用AfL学习模型的LC7E的学生学习成绩更高。在人际智力类别中,使用AfL学习模型学习LC7E的学生比使用LC7E学习模型和直接学习模型的学生的学习成绩更好,而使用LC7E学习模型的学生的学习成绩要优于使用学习模型的学生。直接学习模型。关键字:学习周期7E(LC7E),学习评估(AfL),直接学习,多元智能。

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