Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly
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Resumo
Integrating Artificial Intelligence [AI] into mathematics education offers promising advancements and potential pitfalls. Striking a balance between AI-driven developments and preserving core pedagogical principles is critical in the teaching and learning environment. AI has emerged as a transformative force in various fields, including education. In the realm of mathematics education, AI technologies offer a spectrum of potential benefits (including personalize instruction, adaptive assessment, interactive learning environments, and real-time feedback, among others) and challenges (such as lack of creativity and problem-solving skills, inability to explain reasoning, bias in data and algorithms, absence of emotional intelligence and data privacy and security concern etc.). This conceptual study used autoethnography as the methodology and qualitative content approach to analyze data. The study discussed historical background of AI and considered ethical issues around AI. It was concluded that the journey to harness the full potential of AI in mathematics education requires careful navigation of the good, the bad, and the ugly aspects inherent in this technological evolution.
Dados da obra
- Tipo
- Artigo
- Periódico
- Journal of Pedagogical Research
- Ano
- 2024 (2024-06-18)
- Idioma
- en
- Palavras-chave
- Artificial Intelligence; Mathematics Education; Technology Integration; Mathematics Instruction; Ethics; Technology Uses in Education; artificial intelligence in education; personalized instruction; adaptive testing; real-time feedback; algorithmic bias; data privacy; emotional intelligence; creativity and problem solving; AI ethics; history of artificial intelligence
- Temas
- Avaliação, Resolução de Problemas
- DOI
- 10.33902/jpr.202426428
- ISSN
- 2602-3717
- Licença
- cc-by
- Acesso
- Download disponível
- Fontes
- ERIC — Education Resources Information Center; OpenAlex
- Na Biblioteca desde
- 27/09/2026 · verificada em 27/09/2026
Como citar
ABNT
OPESEMOWO, Oluwaseyi Aina Gbolade; NDLOVU, Mdutshekelwa. Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly. Journal of Pedagogical Research, 2024. DOI: https://doi.org/10.33902/jpr.202426428.
APA
Opesemowo, O. A. G., & Ndlovu, M. (2024). Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly. Journal of Pedagogical Research. https://doi.org/10.33902/jpr.202426428
BibTeX
@article{opesemowo2024,
author = {Opesemowo, Oluwaseyi Aina Gbolade and Ndlovu, Mdutshekelwa},
title = {Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly},
year = {2024},
journal = {Journal of Pedagogical Research},
doi = {10.33902/jpr.202426428},
language = {en}
}RIS
TY - JOUR AU - Opesemowo, Oluwaseyi Aina Gbolade AU - Ndlovu, Mdutshekelwa TI - Artificial Intelligence in Mathematics Education: The Good, the Bad, and the Ugly PY - 2024 JO - Journal of Pedagogical Research DO - 10.33902/jpr.202426428 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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