Abstract

This blog reflects a real-life experiment conducted by a university professor and ICT expert who explored the potential of AI—specifically GPT—in transforming a 13-year-old student's home study habits. The surprising results reinforce the importance of integrating computational thinking and prompt engineering into our education systems and highlight how AI, when used responsibly, can support learners and educators alike.

Keywords

Home Study, AI in Education, GPT, Digital Learning, Prompt Engineering, Human-Centered Learning, CRDP AI Framework, Education Transformation, Math Support, Student Motivation

Introduction

As a university professor and expert in ICT, I constantly explore the intersection between technology and learning. Recently, I ran a personal experiment to explore a fundamental question: Can AI enhance home study for school-aged learners? I worked closely with a 13-year-old student who hated studying at home. The results were enlightening—and hopeful for the future of education.

The Experiment

The student’s parents had already tried hiring a private math tutor, without success. I asked their permission to work with him using an alternative approach: GPT-assisted learning. He loved using his laptop and was immediately intrigued by the idea of learning with an AI.

Before jumping in, I guided him through understanding how GPT works, inspired by the CRDP AI framework which emphasizes both "understanding and applying" AI tools, along with ethical use. Like many in his generation, he was quick to say “I know,” when in fact what he meant was, “I can Google it”.

Methodology

We adopted a flipped-classroom model. I taught him the basics of GPT and prompt engineering. Then we built a structured GPT chat focused on his math book, the chapters covered in class, and his personal progress. He trained GPT to:

• Track topics he understood or struggled with.
• Auto-correct practice quizzes.
• Provide weekly 10-minute quizzes with feedback.

This daily one-hour commitment, monitored by me, became his new way of studying.

Observations

Throughout the experiment, several key changes in the student’s behavior and performance became apparent. Below are the most noticeable outcomes:

• The student began to study math consistently for one hour without resistance.
• He extended the same approach to other subjects, spending more time studying overall.
• His academic performance improved significantly, particularly in math.
• He demonstrated increased motivation and curiosity toward learning.
• A fun fact: GPT generated a math exercise that actually appeared on his final exam — he scored 18/20!

He even found one of GPT’s generated practice exercises in his final exam!

Conclusion

This experiment confirms one thing: AI, when used wisely, can transform the way students learn at home. It won’t replace teachers, but it can empower learners. My next step? Expanding this study to a broader group.

At Mindscape, we believe in a human-centered approach to AI in education. The future is here—let’s guide our students with the tools of tomorrow.