基于HOTS学生在直线运动材料中的多表征学习模型的开发

I. Kusumawati, Sumarli, Sutopo, S. Kusairi
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引用次数: 1

摘要

本研究旨在检验基于hot的多表征学习模型在直线运动材料上的有效性。所采用的方法是采用ADDIE模型进行研究和开发。研究设计采用一组前测后测设计的实验前设计。抽样技术是有目的的抽样。基于KKNI SN -DIKTI的学习开发工具、基于hots的多元表征模型设计、基于hots的多元表征学习模型的前测/后测直线运动材料表、基于hots的直线运动材料学习模型的学生反应表的文件均经过验证,其结果均为rcount (1) > rtable(0.999),显著性水平为1%,说明所有工具都是有效的。各项目仪器测试效度结果以总分rcount (1) > rtable (0.707sig 5%)宣布有效;0.834团体1%)。测试仪器的信度测试结果以alpha (0.839) > rtable(0.834)宣布为可靠。我们发现基于hots的直行材料有效性多重表征学习模型在本研究中达到了预期的效果,从所得分数(507.5)与预测分数(486)的比较结果可以看出,有效性结果(1.04)> 1,平均前测成绩为27.1,后测成绩为84.6。学生的回答作为有效性结果的强化,显示了93.3%的百分比值,其中一个优秀类别。本研究可望为其他材料的研究提供参考。本研究旨在检验基于hot的多表征学习模型在直线运动材料上的有效性。所采用的方法是采用ADDIE模型进行研究和开发。研究设计采用一组前测后测设计的实验前设计。抽样技术是有目的的抽样。基于KKNI SN -DIKTI的学习开发工具、基于hots的多元表征模型设计、基于hots的多元表征学习模型的前测/后测直线运动材料表、基于hots的直线运动材料学习模型的学生反应表的文件均经过验证,其结果均为rcount (1) > rtable(0.999),显著性水平为1%,说明所有工具都是有效的。各项目仪器测试效度结果以总分rcount (1) > rtable (0.707sig 5%)宣布有效;0.834团体1%)。给出了测试仪器的可靠性测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of multiple representation learning model based on HOTS students in straight motion material
This study aims to examine the validity and effectiveness of HOTS-based multiple representation learning models on straight-motion material. The method used is in the form of research and development with the ADDIE model. The study design used pre-experimental design in the way of one group pretest post-test design. The sampling technique is purposive sampling. Documents on learning development tools based on the KKNI SN -DIKTI, HOTS-based multiple representation model design, pretest/post-test straight-motion material sheets, and student response sheets for HOTS-based multiple representation learning models on straight-motion material was validated with each has the result of rcount (1) > rtable (0.999) with a significance level of 1%, meaning that all instruments can be said to be valid. The results of the validity of the instrument test for each item were declared valid with a total score of rcount (1) > rtable (0.707sig 5%; 0.834sig 1%). The reliability test results of the test instruments were declared reliable with alpha (0.839) > rtable (0.834). It was found that the HOTS-based multiple representation learning model on straight-motion material effectiveness was achieved as expected in this study, which were seen from the results of the comparison of scores obtained (507.5) with the predicted score (486) the results of effectiveness (1.04) > 1 with an average pretest result of 27.1 and post-test of 84.6. Student responses as reinforcement of the results of effectiveness show a percentage value of 93.3% with an excellent category. This research is expected to be a reference for research on other material.This study aims to examine the validity and effectiveness of HOTS-based multiple representation learning models on straight-motion material. The method used is in the form of research and development with the ADDIE model. The study design used pre-experimental design in the way of one group pretest post-test design. The sampling technique is purposive sampling. Documents on learning development tools based on the KKNI SN -DIKTI, HOTS-based multiple representation model design, pretest/post-test straight-motion material sheets, and student response sheets for HOTS-based multiple representation learning models on straight-motion material was validated with each has the result of rcount (1) > rtable (0.999) with a significance level of 1%, meaning that all instruments can be said to be valid. The results of the validity of the instrument test for each item were declared valid with a total score of rcount (1) > rtable (0.707sig 5%; 0.834sig 1%). The reliability test results of the test instruments were declar...
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