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All Journal Union: Jurnal Ilmiah Pendidikan Matematika International Journal of Research in Mathematics Education
Mrope, Fadhili Mustafa
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Education Mathematics

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The Influence of Peer Groups on The Academic Performance of University Students in Mathematics Courses Mrope, Fadhili Mustafa; Kira, Ernest Simon; Deogratias, Emmanuel
International Journal of Research in Mathematics Education Vol. 2 No. 2 (2024)
Publisher : Faculty of Tarbiya and Teacher Trainning, Universitas Islam Negeri Prof. K.H. Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/ijrme.v2i2.10861

Abstract

This research investigates the influence of peer groups on students' academic performance in mathematics courses at the university level, with a specific focus on Morogoro Municipality. The study aims to understand the dynamics of peer interaction and its impact on students' mathematical learning outcomes. A mixed-methods approach was employed, combining quantitative analysis of academic performance data with qualitative exploration of peer group dynamics through interviews and surveys. Encompassing all students in higher education institutions in Morogoro Municipal, the study includes a sample of 200 students randomly selected from four universities. Data collection methods involved questionnaires and interviews to glean insights into peer interaction patterns, academic performance, and demographic characteristics. Quantitative data collected undergo coding and Chi-square computation, facilitated by the Statistical Package for the Social Sciences (SPSS) version 20, enabling researchers to discern correlations between peer dynamics and academic achievement. Findings suggest that peer groups play a significant role in shaping students' attitudes, study habits, and academic achievement in mathematics. Positive peer interactions foster collaboration, motivation, and deeper understanding of mathematical concepts, leading to improved performance. Conversely, negative peer influences, such as social distractions and peer pressure, can hinder academic progress. Understanding the mechanisms through which peer groups influence academic performance can inform educational interventions and support systems aimed at enhancing mathematical learning outcomes at the university level.
Exploring group concepts in abstract algebra through ChatGPT: An innovative approach to mathematical teaching and learning Mrope, Fadhili Mustafa
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 12 No 2 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v12i2.17156

Abstract

Traditional methods often struggle to engage students and effectively communicate the intricacies of abstract algebra. This study aims to explore the future of mathematics teaching, with a focus on integrating group theory concepts into Abstract Algebra using ChatGPT, an advanced language processing AI. Chat transcripts edited with ChatGPT were analyzed to gain insights into the evolving landscape of mathematics education, specifically concerning group theory. Group theory is a fundamental branch of Abstract Algebra poised to shape the future of mathematics instruction. ChatGPT facilitates interactive discussions and problem-solving tasks related to group operations, properties, and theorems, offering personalized explanations and guidance tailored to individual student needs. The study highlights the potential of AI-driven platforms like ChatGPT to revolutionize mathematics education by providing dynamic and engaging learning experiences centered around group theory. Furthermore, the study emphasizes the importance of incorporating group theory into mathematics curricula to foster critical thinking, problem-solving skills, and interdisciplinary connections. Educators are urged to leverage innovative tools like ChatGPT alongside traditional pedagogical approaches to ensure effective teaching and learning. Through thoughtful implementation and ongoing professional development, educators can harness AI's power to create inclusive, equitable, and enriching learning environments, empowering students in abstract mathematical reasoning and analysis.
Analysis of students’ difficulties in solving probability questions: The case of advanced certificate of secondary education examination in Tanzania Mrope, Fadhili Mustafa; Deogratias, Emmanuel
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 12 No 3 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v12i3.17730

Abstract

This study investigates students' performance in solving probability-related questions in the Advanced Certificate of Secondary Education Examination (ACSEE) in Tanzania. The purpose is to identify the challenges students face when tackling these problems and provide insights for improving their performance. Using analysis of exam responses, the study reveals that many students struggle with probability questions, particularly those involving probability distributions like Binomial and Poisson. The difficulties arise from conceptual misunderstandings, the complexity of probability tasks, and the inappropriate use of generalized problem-solving techniques. To address these issues, we recommend conducting protocol analysis to understand students' cognitive processes when solving probability problems. This approach could guide teachers in developing instructional strategies that enhance students' comprehension and application of probability concepts. The findings contribute to shaping educational policies and teaching practices that can improve mathematical literacy and performance in probability tasks.
Co-Authors Deogratias, Emmanuel Kira, Ernest Simon