Researchers from the Technical University of Munich (TUM) and the University of Cologne have developed an innovative AI-based learning system that utilises eye-tracking technology to provide individualised support for schoolchildren struggling with mathematics. This system is currently being implemented at Wulfen Comprehensive School in North Rhine-Westphalia, marking a significant advancement in personalised education.
Key Findings:
- Eye-Tracking Technology: The system employs a standard webcam to monitor students’ eye movements while they solve maths problems. This data is analysed to create heat maps that reveal where students focus their attention. Areas of frequent gaze are marked in red, while those with less attention are shown in green. This visual feedback helps educators identify students’ strengths and weaknesses in real time.
- Tailored Learning Experiences: Based on the eye-tracking data, the AI selects appropriate learning videos and exercises tailored to each student’s needs. Professor Achim Lilienthal, a robotics expert at TUM, emphasises that this method allows for a more nuanced understanding of students’ learning strategies and paves the way for personalised lesson plans.
- Addressing Educational Gaps: The introduction of this AI system aims to support students who struggle with mathematical concepts. At Wulfen Comprehensive School, a standardised maths test revealed that one-third of 180 fifth graders had significant arithmetic difficulties. With this system, teachers can now assist multiple students simultaneously during remedial lessons, enhancing the overall learning experience.
- Cost-Effectiveness: Unlike high-end eye-tracking systems that can cost thousands of euros, the researchers have developed a more affordable solution that maintains accuracy. By adjusting for the inherent limitations of webcams, the TUM team has created a viable option for schools facing budget constraints.
- Future Implications: The project, funded by the German Federal Ministry of Education and Research, aims to expand the capabilities of this system to include support for high-achieving students as well. The researchers believe that individualised instruction can benefit all learners, regardless of their current skill levels.
This AI-based maths support system represents a significant step forward in educational technology, promising to improve mathematical proficiency among schoolchildren and reduce the burden on teachers in an era marked by educational resource shortages.
For more information, visit the full article: AI-based maths: individualised support for schoolchildren.
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