Advancing Mathematics Teaching with AI: A Conceptual Framework for Instructional Planning and Delivery
Keywords:
Artificial Intelligence; Differentiated Instruction; Lesson Planning; Mathematics Instruction; TPACK FrameworkAbstract
As artificial intelligence (AI) tools become more prevalent in secondary mathematics classrooms, teachers are discovering new ways to enhance their planning and delivery of instruction. While much discussion around AI focuses on student use, less attention is given to how teachers can utilise these tools in their everyday teaching. This conceptual paper explores how secondary mathematics teachers can integrate AI tools such as ChatGPT, Photomath, Khanmigo, and Wolfram Alpha to support lesson planning, personalise instruction, and improve teaching effectiveness. Drawing on the Technological Pedagogical Content Knowledge (TPACK) model, the paper presents a practical framework that demonstrates how content knowledge, pedagogy, and technology can work together to strengthen instructional practice. Grounded in recent literature and classroom experience, the framework explains how AI can support core teaching tasks such as lesson design, real-time feedback, differentiation, and ongoing professional development. Rather than viewing AI as a threat, the paper encourages teachers to see it as a supportive partner that enhances teaching. Special attention is given to under-resourced classrooms, where the teacher’s workload is high and individual support is limited. Through clear strategies and examples, the paper offers guidance on using AI in ways that improve student learning and support meaningful teacher growth.
https://doi.org/10.26803/ijlter.25.4.12
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