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Mathematics Learning Assistance Home Visit In the Village Made to Develop Middle School Students' Learning Response Nurul Aini, Khafidhoh; Irwan Hermawan, Arief; Nadhifah, Muslimatun
Shof Journal of Social Impact Vol. 1 No. 3 (2024): December
Publisher : Shof Literacy Community

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Abstract

The low interest in student learning in certain subject also affects the value os students’ learning attitudes in following the online teaching and learning process. The specific objective of this study is to emphasize learning assistance to improve student learning outcomes in the face of online or distance-based schools. The method used is the method of observation by describing the state of object, empasizing theree aspects of attitude values: cognitive (knowledge), affective (feelings and emotions),adn conative (desire). The result of the research is discovery learning method shows high effectiveness in mathematic. The percentage of attitude value of the 3 research object showed interst in the concept and material off 66,67%, satisfaction of mentoring activities was 100%, cofidence in doing exercise was 33,33%, and understanding wass 100% counted the number of questions answered successfully.
PENGARUH PENGGUNAAN LKPD BERBASIS DEEP LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH Ridho Firmansyah, Rahmat; Faridah, Luluk; Nurul Aini, Khafidhoh
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.62215

Abstract

Mathematical problem-solving ability is one of the essential competencies that students need to develop in mathematics learning; however, this ability has remained relatively low. One effort to improve students' mathematical problem-solving ability was through the use of Deep Learning-based Student Worksheets (LKPD). This study aimed to determine the effect of Deep Learning-based LKPD on senior high school students’ mathematical problem-solving ability in quadratic function material. The study employed a quasi-experimental method with a nonequivalent control group design. The sample consisted of 60 students divided into an experimental class and a control class. The research instruments included a Deep Learning Lesson Plan (RPM) and a mathematical problem-solving test that had met validity and reliability criteria. The data were analyzed using N-Gain, normality tests, homogeneity tests, and an Independent Sample t-Test with IBM SPSS Statistics. The results show that the average N-Gain score of the experimental class is 0.6313, while that of the control class is 0.3641. The hypothesis testing result indicates a significance value (2-tailed) of < 0.001, indicating a significant difference between the two groups. Therefore, the use of Deep Learning-based LKPD has a positive effect on students’ mathematical problem-solving ability and serves as an effective alternative teaching material in mathematics learning.