NishMath - #mathlearning

Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system designed to provide individualized support for schoolchildren in mathematics. The system utilizes eye-tracking technology via a standard webcam to identify students’ strengths and weaknesses. By monitoring eye movements, the AI can pinpoint areas where students struggle, displaying the data on a heatmap with red indicating frequent focus and green representing areas glanced over briefly.

This AI-driven approach allows teachers to provide more targeted assistance, improving the efficiency and personalization of math education. The software classifies the eye movement patterns and selects appropriate learning videos and exercises for each pupil. Professor Maike Schindler from the University of Cologne, who has collaborated with TUM Professor Achim Lilienthal for ten years, emphasizes that this system is completely new, tracking eye movements, recognizing learning strategies via patterns, offering individual support, and creating automated support reports for teachers.


References :

• www.sciencedaily.com: Researchers have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support.
• phys.org: Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints.
• medium.com: Artificial Intelligence Math: How AI is Revolutionizing Math Learning
• medium.com: Exploring AI Math Master Applications: Enhancing Mathematics Learning with Artificial Intelligence
• phys.org: AI-based math: Individualized support for students uses eye tracking

Classification:

• HashTags: #AIinEducation #MathLearning #EdTech
• Company: TUM
• Target: Learning
• Product: Education
• Feature: EyeTracking
• Type: AI
• Severity: Informative

Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system designed to provide individualized support for schoolchildren in mathematics. The system utilizes eye-tracking technology via a standard webcam to identify students’ strengths and weaknesses. By monitoring eye movements, the AI can pinpoint areas where students struggle, displaying the data on a heatmap with red indicating frequent focus and green representing areas glanced over briefly.

This AI-driven approach allows teachers to provide more targeted assistance, improving the efficiency and personalization of math education. The software classifies the eye movement patterns and selects appropriate learning videos and exercises for each pupil. Professor Maike Schindler from the University of Cologne, who has collaborated with TUM Professor Achim Lilienthal for ten years, emphasizes that this system is completely new, tracking eye movements, recognizing learning strategies via patterns, offering individual support, and creating automated support reports for teachers.


References :

• phys.org: AI-based math: Individualized support for students uses eye tracking
• www.sciencedaily.com: AI-based math: Individualized support for schoolchildren

Classification:

• HashTags: #AIinEducation #MathLearning #EdTech
• Company: TUM
• Target: Students
• Product: Education
• Feature: EyeTracking
• Type: AI
• Severity: Informative