Kristina Wijayanti
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences Semarang State University

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Journal : Proceeding of International Conference on Science, Education, and Technology

Experimentation of the Flipped Classroom Learning Model Based on Student's Self-Regulated Learning Zainnur Wijayanto; Sukestiyarno Sukestiyarno; Kristina Wijayanti; Emi Pujiastuti
International Conference on Science, Education, and Technology Vol. 8 (2022)
Publisher : Universitas Negeri Semarang

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Abstract

A flipped classroom is an innovative approach that focuses on student centered learning. It swaps the arrangement of knowledge different from traditional classroom. This study aims to describe the learning outcomes of SMP Negeri 1 Sewon students in which learned using Flipped Classroom Learning Model comparing to the Direct Learning Model, and to find out whether the flipped classroom learning model is effectively used in mathematics learning. This is quasi-experimental research. The research subjects were divided into 2 groups, namely the experimental group (using flipped classroom learning model) and control group (using direct learning model). The results showed that the flipped classroom learning model was more effective than direct learning model in terms of its self-regulated learning (SRL). It can seem from the results of statistic data analysis which shows a significant difference. So, it can be concluded that flipped classroom model can be used as an alternative learning in the classroom.
Problem Solving Analysis on Hots Problems in terms of Early Mathematical Ability Yeni Heryani; Kartono Kartono; Kristina Wijayanti; Nuriana Rachmani Dewi
International Conference on Science, Education, and Technology Vol. 8 (2022)
Publisher : Universitas Negeri Semarang

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Abstract

Abstract. The purpose of this study is to analyze problem-solving on HOTS problems in terms of early mathematical ability. This research method uses qualitative methods. The subjects in this study were students of class XI MIPA. The technique of determining the subject in this study began by grouping students into three groups of early mathematical abilities, namely high, medium and low. Then 3 students were taken as subjects, namely one subject for each group whose problem-solving steps met the problem-solving steps of Krulik & Rudnick. The data collection technique begins by grouping the categories of early mathematical abilities, giving math problem-solving tests and interviews on selected subjects to describe mathematical problem-solving and achievements on the HOTS indicator. Based on the results of math problem-solving tests and interviews on the subject, the results of this study showed that subjects with high early mathematical abilities were able to fulfill the read the problem step, explore step, select a strategy step, solve step and look back step so that the subject reached the indicator of analyzing, evaluating and create. Subjects with the medium category of initial mathematical ability were able to fulfill the read the problem step, the explore step, then select a strategy step, and the solve step, so the subject had not yet reached the creating indicator. Subjects with low mathematics initial ability category were only able to fulfill the read the problem step, the subject did not achieve all of the HOTS indicators.
Analysis of High School Students' Mathematical Creative Thinking Ability Levels in Solving Mathematical Problems Larasati Tiara Medyasari; Zaenuri Zaenuri; Nuriana Rachmani Dewi; Kristina Wijayanti
International Conference on Science, Education, and Technology Vol. 8 (2022)
Publisher : Universitas Negeri Semarang

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Abstract

Mathematical creative thinking ability is an important ability that must be possessed in the 21st century. This study aims to obtain an overview of the level of students' mathematical creative thinking abilities. The research sample was 31 students of class XI MIPA 1. This type of research is qualitative research. The instrument used is a test of the description of creative thinking skills, observation, documentation, and interviews. Data analysis techniques are carried out by reducing data, presenting data, and drawing conclusions and using triangulation techniques. The results showed 3 students were at the level of creative thinking ability level 4 (very creative), 5 people were at level 3 (creative), 10 people were at level 2 (less creative) and 13 people were at level 1 creative thinking ability (less creative).