Analysis HOTS Problem Solving: Student Learning Outcomes from Student Facilitator and Explaining and Geogebra-Assisted Discovery Learning Models

Linda Linda, A. Abdillah, V. Mandailina, S. Syaharuddin
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Abstract

Educators need to think about the difficulties that students often face when faced with high-order thinking skills in order to improve the teaching and learning system through the use of the right learning methods. This study aims to compare learning outcomes between using the Student Facilitator and Explaining the learning model with Discovery Learning powered by Geogebra to help students be critical, creative, and innovative in solving problems in the form of High Order Thinking Skills questions to think about in the context of science and everyday life. This experiment uses quantitative methods and is conducted in two classes XI with a total of 32 samples, namely 13 students of Experiment A and 19 students of Experiment B. This study uses instruments in the form of HOTS questions, consisting of 5 descriptive questions with pre-test and post-test designs so that the generated data is tested with JASP and SPSS software. In the Geogebra-powered Discovery Learning model, the p-value is 0.059 with an average of 20.000, while in the Geogebra-powered Student Facilitator and Explaining learning model, the p-value is 0.276 with an average of 52.947. Thus, the learning model suitable for the application of Geogebra software is Student Facilitator and Explaining based on the generated data and has a higher learning outcome value than the pre-test and post-test of the Discovery Learning learning model. This research can be a reference for education in education because of the need for proper technology to support the teaching and learning activities for students.
分析 HOTS 问题解决:从学生主持人和解释以及 Geogebra 辅助发现学习模式中得出的学生学习成果
教育工作者需要思考学生在面对高阶思维技能时经常遇到的困难,以便通过使用正确的学习方法来改进教学和学习系统。本研究旨在比较使用 "学生促进者 "和 "解释学习模式 "与由 Geogebra 提供支持的 "发现学习 "之间的学习效果,以帮助学生以高阶思维技能问题的形式,在科学和日常生活的背景下思考问题,从而具有批判性、创造性和创新性。本实验采用定量方法,在两个班级十一进行,共有 32 个样本,即实验 A 的 13 名学生和实验 B 的 19 名学生。本研究采用 HOTS 问题形式的工具,包括 5 个描述性问题,设计了前测和后测,以便用 JASP 和 SPSS 软件对生成的数据进行测试。在 "Geogebra-powered Discovery Learning "学习模式中,P 值为 0.059,平均值为 20.000;而在 "Geogebra-powered Student Facilitator and Explaining Learning "学习模式中,P 值为 0.276,平均值为 52.947。因此,根据生成的数据,适合应用 Geogebra 软件的学习模式是 "学生引导和解释",其学习成果值高于 "发现学习 "学习模式的前测和后测。这项研究可为教育领域的教育提供参考,因为学生的教学活动需要适当的技术支持。
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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