News from the AI & ML world

DeeperML - #students

Chris McKay@Maginative //
Anthropic has unveiled Claude for Education, a specialized AI assistant designed to cultivate critical thinking skills in students. Unlike conventional AI tools that simply provide answers, Claude employs a Socratic-based "Learning Mode" that prompts students with guiding questions, encouraging them to engage in deeper reasoning and problem-solving. This innovative approach aims to address concerns about AI potentially hindering intellectual development by promoting shortcut thinking.

Partnerships with Northeastern University, the London School of Economics, and Champlain College will integrate Claude across multiple campuses, reaching tens of thousands of students. These institutions are making a significant investment in AI, betting that it can improve the learning process. Faculty can use Claude to generate rubrics aligned with learning outcomes and create chemistry equations, while administrative staff can analyze enrollment trends and simplify policy documents. These institutions are testing the system across teaching, research, and administrative workflows.

Recommended read:
References :
  • THE DECODER: Anthropic brings AI assistant Claude to university campuses
  • venturebeat.com: Anthropic flips the script on AI in education: Claude’s Learning Mode makes students do the thinking
  • Maginative: Anthropic Launches Claude for Education with Learning Mode to Foster Critical Thinking in Universities
  • Analytics India Magazine: Anthropic Launches Claude for Education to Support Universities with AI
  • eWEEK: Claude AI Goes to College With Anthropic’s New Education-Specific Learning Mode
  • www.zdnet.com: No, it won't just do their homework for them. Plus, it helps teachers create rubrics and provide feedback.

msaul@mathvoices.ams.org //
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.

Recommended read:
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

@phys.org //
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.

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

Cyril Belikoff@The Microsoft Cloud Blog //
Microsoft is highlighting Founderz, an online learning platform that has quickly become a leader in AI skilling. Founderz aims to bridge the growing AI skills gap, a challenge highlighted by the IDC Business Opportunity of AI Study, which found that 45% of business leaders feel their workforce lacks the necessary knowledge and skills to implement AI effectively. Microsoft is addressing this gap through initiatives like the Microsoft AI Skills Fest and by supporting innovative organizations.

Founderz was accepted into the Microsoft for Startups Founders Hub, gaining access to AI services, expert guidance, and technology. This included USD150,000 in Microsoft Azure credits, allowing them to scale their platform and refine their AI-powered learning model. Co-founders Anna Cejudo and Pau Garcia-Mila envisioned an online business education that mirrored the depth and collaboration of top business schools, but in a scalable and accessible format built for the AI era.

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