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All Journal JME (Journal of Mathematics Education) Jurnal Pendidikan MIPA
Trisniwati, Retno
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Education Mathematics

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Using Discovery Learning Method to Improve Students’ Learning Outcomes in the Topics of Matrix Trisniwati, Retno; Utomo, Dwi Priyo; Khusna, Arif Hidayatul
Jurnal Pendidikan MIPA Vol 20, No 2 (2019): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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Abstract

The purpose of this study is to describe the implementation of discovery learning in a matrix material. This type of research is a classroom action research study consisting of two cycles with each cycle consisting of four stages: planning, implementation, observation, and reflection. The research subjects were 35 students in grade XI. The research instrument used was the observation sheet and test. Data analysis techniques consist of data reduction, data presentation, and conclusions. The results showed that there was an increase in student learning outcomes after learning discovery learning was applied. It was proven that in the first cycle there were 15 students (42.8%) who were complete and in the second cycle there were 29 students (82.8%) who were complete.Keywords: discovery learning, classroom action research, matrix. DOI: http://dx.doi.org/10.23960/jpmipa/v20i2.pp54-59
IMPROVING STATISTICS LEARNING OUTCOMES THROUGH DEEP LEARNING AND TARL APPROACHES IN GRADE X Sukmananda, Indah Susitya; Sunismi, Sunismi; Trisniwati, Retno
JME (Journal of Mathematics Education) Vol 10, No 1 (2025): JME
Publisher : Universitas Sembilanbelas November Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/jme.v10i1.2714

Abstract

This study aims to improve students’ learning outcomes in statisticsusing a digital-based approach. The approach integrates DeepLearning principles and the Teaching at the Right Level (TaRL)framework. The research was conducted as a Classroom ActionResearch (CAR) in two cycles involving Grade X students at SMAN 3Malang. Data were collected using pre-tests and post-tests to measurechanges in students' performance. The results showed an increase instudents’ average learning outcomes: from 35.15% in the initialcondition to 54% in Cycle I, and further to 88.4% in Cycle II. Thesefindings suggest that a digital-based Deep Learning and TaRLapproach effectively enhances students’ understanding andengagement in learning statistics.
Co-Authors Arif Hidayatul Khusna Dwi Priyo Utomo Sukmananda, Indah Susitya Sunismi .