This descriptive information research paper examines the use of Problem-Based Learning (PBL) in high school mathematics, with a particular focus on the emerging integration of Artificial Intelligence (AI) platforms and tools to enhance learning and instruction. Through a comprehensive literature review and analysis of selected PBL math projects, the study explores how real-world, student-centered problem solving can be supported by AI-driven technologies such as intelligent tutoring systems, adaptive learning platforms, and data analysis tools. Observing math projects for high school students as a qualitative research method offers rich, in-depth insights into both student learning and teaching practices, particularly in innovative settings like AI-infused PBL. Findings indicate that PBL fosters critical thinking, collaboration, and deeper conceptual understanding, while AI can provide personalized feedback, scaffold learning, and facilitate data-driven project design. The research also addresses challenges including digital literacy, equitable access, and teacher preparedness. By synthesizing academic research and reviewing practical examples, this study offers insights into how PBL, combined with AI, can transform the teaching and learning of mathematics in secondary education.
Comprar ahora
- Citar trabajo
- Duli Pllana et al. (Autor), 2025, Integrating Artificial Intelligence (AI) Platforms into Project-Based Learning (PBL) in High School Mathematics, Múnich, GRIN Verlag, https://www.grin.com/document/1676637
