Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning
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Resumo
Effective collaboration in mathematics learning is essential for developing students' critical thinking and problem-solving skills; however, identifying patterns that lead to successful group collaboration remains challenging. This study aims explicitly to identify and classify the patterns of student group assignment completion in the Logic and Sets course using the Naïve Bayes algorithm. Survey data from 65 mathematics education students were analyzed using a quantitative approach and machine learning techniques. Attributes such as group size, task completion time, participation, contribution strategies, and communication effectiveness were collected via structured questionnaires. Data analysis involved preprocessing, model training using Naïve Bayes, and validation through accuracy and posterior probability analysis. Results indicated that the Naïve Bayes model accurately distinguished groups with very good (A) and fairly good (B) performance, achieving 84.62% accuracy. Groups achieving an A grade typically featured balanced participation and open communication strategies, whereas groups graded B exhibited uneven participation and passive members. This research significantly contributes by demonstrating how data-driven predictive analytics can support instructors in monitoring and enhancing collaborative learning processes in mathematics courses. Future research could further refine predictive accuracy by incorporating additional factors such as leadership style and collaborative technologies, potentially integrating the model into learning management systems for real-time evaluation and intervention.
Dados da obra
- Tipo
- Artigo
- Periódico
- JTAM (Jurnal Teori dan Aplikasi Matematika), v. 9, n. 3, p. 986-999
- Editora
- Universitas Muhammadiyah Mataram
- Ano
- 2025 (2025-07)
- Idioma
- en
- Palavras-chave
- assignment; classification; student collaboration; naïve bayes; project.
- Temas
- Probabilidade, Resolução de Problemas
- DOI
- 10.31764/jtam.v9i3.30459
- ISSN
- 2597-7512, 2614-1175
- Acesso
- Acesso aberto
- Fontes
- DOAJ — Directory of Open Access Journals
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
DEWI, Wardhani Utami; VAHLIA, Ira; LINUHUNG, Nego. Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning. JTAM (Jurnal Teori dan Aplikasi Matematika), v. 9, n. 3, p. 986-999, 2025. DOI: https://doi.org/10.31764/jtam.v9i3.30459.
APA
Dewi, W. U., Vahlia, I., & Linuhung, N. (2025). Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning. JTAM (Jurnal Teori dan Aplikasi Matematika), 9(3), 986-999. https://doi.org/10.31764/jtam.v9i3.30459
BibTeX
@article{dewi2025,
author = {Dewi, Wardhani Utami and Vahlia, Ira and Linuhung, Nego},
title = {Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning},
year = {2025},
journal = {JTAM (Jurnal Teori dan Aplikasi Matematika)},
volume = {9},
number = {3},
pages = {986-999},
publisher = {Universitas Muhammadiyah Mataram},
doi = {10.31764/jtam.v9i3.30459},
language = {en}
}RIS
TY - JOUR AU - Dewi, Wardhani Utami AU - Vahlia, Ira AU - Linuhung, Nego TI - Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning PY - 2025 JO - JTAM (Jurnal Teori dan Aplikasi Matematika) VL - 9 IS - 3 SP - 986 EP - 999 DO - 10.31764/jtam.v9i3.30459 LA - en ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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