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All Journal Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Media Pendidikan Matematika
Ahmodu, Abdul-Lateef Olamide
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Computer Science & IT Education Environmental Science Mathematics Social Sciences

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Analysis of Students' Errors in Solving HOTS Problems on Algebraic Materials Based on the Complexity Level of the Problem Based on Bloom's Theory Muliana, Yulia; Abdillah, Abdillah; Mahsup, Mahsup; Syaharuddin, Syaharuddin; Ahmodu, Abdul-Lateef Olamide; Iddrisu, Mohammed Muniru
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 2 December 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v11i2.23053

Abstract

Mathematics discusses a lot about various kinds of problems that contain numbers that are classified as Higher Order Thinking Skills (HOTS). Math HOTS questions require a high level of thinking to solve the problem. Based on Bloom's theory, HOTS consists of analyzing (C4), evaluating (C5), and creating (C6). This study aims to determine the level of student errors in solving HOTS questions based on Bloom's theory. This research uses mixed method research, which is a combination of qualitative and quantitative methods, where the stages of this research include instrument development, instrument validation, data collection, data analysis and interpretation. The sample of this study used 25 students of class VIII junior high school in Mataram City. Researchers gave 10 essay questions that had been validated by material experts to students as research instruments. The results showed that students' understanding in solving HOTS problems was still lacking. For the error rate, it was found that there were no students who could solve the creating (C6) section with a percentage of 100% error, analyzing (C4) section with a percentage of 60%, evaluating (C5) 24%, applying (C3) 16%, understanding (C2) 12%, and in the remembering (C1) section there were no students who made mistakes with a percentage of 0% error. The biggest error was found in the creating part (C6), where the most mistakes were made by women with an average score of 50.55.
Digital Media Based On Quantum Learning to Increase Learning Motivation and Student Learning Activities In Mathematics Dewi, Sopian; Mandailina, Vera; Mahsup, Mahsup; Syaharuddin, Syaharuddin; Iddrisu, Mohammed Muniru; AHMODU, Abdul-Lateef Olamide
Media Pendidikan Matematika Vol. 11 No. 2 (2023)
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v11i2.9748

Abstract

Learning with the quantum learning model is one of the learning methods in its implementatied Learning with the quantum learning model is one of the learning methods in its implementation enjoy being more active in discussing and working together in class. This study aims to determine the effect of the application of the quantum learning model on increasing student motivation and learning activities. This research is experimental quantitative research consisting of two classes, namely the control class and the experimental class. Data collection instruments used questionnaires.Data analysis used in this study is a descriptive test, normality test, and paired sample test. The results of the normality test (Shapiro-Wilk) for learning motivation of the control class and experimental class amounted to 0.147 greater than 0.05 and for learning activities of the control class and experimental class amounted to 0.362 greater than 0.05. T-test for learning motivation showed that the improvement of the experimental class was higher than the control class (t = -0.785 p = 0.220 > 0.05) and the SE value of Cohen's d (0.317). The T-test for learning activities showed that the increase in learning motivation of the experimental class was higher than that of the control class (t = -2.506 p = 0.009 < 0.05) and the SE Cohen's d value (0.194).That's whybased on the results show that the quantum learning model can increase student learning motivation.
Co-Authors Abdillah Abdillah Dewi, Sopian Iddrisu, Mohammed Muniru Mahsup, Mahsup Muliana, Yulia Syaharuddin Vera Mandailina, Vera