ICoSMEE 2023
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

Experimentation of Learning Cycle 7e Learning Model Assisted by Labyrinth Board Game and Putar Bawah Game on Mathematical Reasoning Ability in View of Students Self-Regulated Learning
Sutopo, S.Pd., M.Pd.*- Linda Otavia - Yemi Kuswardi, S.Si., M.Pd.

Universitas Sebelas Maret


Abstract

This research aims to find out: 1) The learning model that produces better mathematical reasoning ability of students, between the Learning Cycle 7E assisted by labyrinth board game and putar bawah game or direct instruction- 2) The level of students Self Regulated Learning that produces better mathematical reasoning skills, between high, medium, or low levels of Self Regulated Learning- 3) The interaction learning models and students Self Regulated Learning. This research is a quasi experimental research with the subject were VIII grade students of SMP Negeri 5 Surakarta in the academic year 2022/2023 school year. The samples use two classes taken by cluster random sampling. Data collection technique were used documentation, tests, and questionnaires. The data analysis technique used a two-way variance analysis. The results of the analysis showed that: 1) Learning Cycle 7E learning model assisted by labyrinth board game and putar bawah game resulted is better mathematical reasoning ability than direct instruction- 2) Students with high self regulated learning had better mathematical reasoning ability than low self regulated learning- 3) There is no interaction between the learning model and students self-regulated learning.

Keywords: Mathematical reasoning ability, Learning Cycle 7E assisted by labyrinth board game and putar bawah game, Self-regulated learning

Topic: Mathematics and Science Education

Plain Format | Corresponding Author (Linda Oktavia)

Share Link

Share your abstract link to your social media or profile page

ICoSMEE 2023 - Conference Management System

Powered By Konfrenzi Ultimate 1.832M-Build6 © 2007-2024 All Rights Reserved