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All Journal Al Khawarizmi: Jurnal Pendidikan dan Pembelajaran Matematika Mathematics Education Journal Journal on Mathematics Education
Mailizar
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Computer Science & IT Education Mathematics Social Sciences Other

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Mathematical model of student learning behavior with the effect of learning motivation and student social interaction Mutiawati; Johar, Rahmah; Ramli, Marwan; Mailizar
Journal on Mathematics Education Vol. 13 No. 3 (2022): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.v13i3.pp415-436

Abstract

This study aims to determine the mathematical model of student learning behavior. The model is built by analogizing the spread of learning behavior with infectious diseases, which is called the SEIR model. The survey was conducted through filling out a questionnaire on the learning behavior of junior high school students with a population of 1,143 students. The results of the simulation model show that the peak of students' vulnerability to changes in learning behavior increases rapidly in the first two days and will be stable when passing the 150th day. The results of the simulation of the SEIR mathematical model with an incubation period of 365 days found that student learning behavior in Non-Boarding Schools will be stable in on day 198, while in Boarding Schools it will be stable on day 201. Infection cases in Boarding Schools fell to 0 on day 25 while in Non-Boarding Schools decreased on day 21, meaning that infections occurring in Boarding Schools were slower and more resistant long, meaning that the influence of the social environment is very significant on student learning behavior. This study also serves as material for policy formulation for the Aceh Provincial Government regarding the junior high school curriculum.
Development of E-Learning based Remedial Videos on Fractions in Middle School Johar, Rahmah; Moulina, Aisyah Rayhan; Mailizar; Lestari, Mulia; Away, Yuwaldi
Mathematics Education Journal Vol. 18 No. 1 (2024): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jpm.v18i1.pp97-112

Abstract

The Covid-19 pandemic has opened the gates to digital learning in mathematics education and increased the use of online learning. However, teachers still rare to use digital technology as feedback and final evaluation of students. Therefore, an e-learning based remedial video is needed to developed. The research aims to produce e-learning based remedial videos on fraction that meet the criteria of valid, practical and effective. This research is development research with ADDIE models namely analysis, design, development, implementation, and evaluation. The subjects of this research were class 8 students at junior high school from three school levels in Banda Aceh, Indonesia. Data was collected using video validation sheets, students’ response questionnaires, and remedial tests. The results show that e-learning based remedial videos was valid based on expert judgements, practical because students gave positive responses and effective because N-Gain of the percentage of students reached the Minimum Completeness Criteria (MCC) on diagnostic test and remedial test was 0.5 on the medium category.
Self-Regulated Learning of Junior High School Students and Their Mathematical Problem-Solving Ability In Artificial Intelligence-Based Learning Amayana, Desi; Mailizar
Al-Khawarizmi Vol 10 No 1 (2026): Al Khawarizmi: Jurnal Pendidikan dan Pembelajaran Matematika
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/8dspfg90

Abstract

This study aims to describe students’ mathematical problem-solving abilities from the perspective of Self-Regulated Learning (SRL) in Artificial Intelligence (AI)-based learning. The study employed a descriptive quantitative approach involving 36 eighth-grade students. Data were collected through an SRL questionnaire and a mathematical problem-solving test, then analyzed using descriptive statistics, specifically means and percentages. The results show that 27.8% of students have high SRL, 50.0% have moderate SRL, and 22.2% have low SRL. The average mathematical problem-solving ability in the high SRL category was 85.40, in the moderate category 74.20, and in the low category 61.50. The highest indicator was in the ability to understand problems, while the lowest was in checking the results of problem-solving. The research results show that students with high SRL have better mathematical problem-solving skills than students with moderate and low SRL. Therefore, strengthening SRL needs to be a priority in the implementation of AI-based learning to improve students’ mathematical problem-solving skills.
Co-Authors Amayana, Desi lestari, mulia Marwan Ramli Moulina, Aisyah Rayhan Mutiawati Rahmah Johar Yuwaldi Away