Analysis of educational assessment using Artificial Intelligence

This paper explores the integration of ChatGPT, an advanced AI language model, into elementary mathematics education. It presents a case study involving eight teachers who utilized ChatGPT to design math lessons that foster student motivation and engagement. The lessons were informed by motivational-supportive strategies grounded in Control-Value Theory (CVT) — a psychological framework that emphasizes students’ emotional responses to learning based on their perceived control over tasks and the value they assign to those tasks.

The findings suggest that ChatGPT can positively influence both lesson design and students' learning experiences by enabling more personalized, responsive, and emotionally supportive instruction.

From a technological perspective, the study highlights the broader implications of AI integration in education, particularly within the technology and software sectors. It underscores the effectiveness of AI-assisted lesson planning and the potential of intelligent software applications to enhance teaching practices in meaningful ways.