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STEMpedia
Next-Gen Learning with STEM, AI, and Robotics!

What is STEMpedia?

STEMpedia offers an innovative tech-education platform designed to equip K-12 students with essential 21st-century skills. Focusing on experience-based learning, it integrates modern ICT, coding, AI, and robotics education into school curricula. The platform provides tailored solutions for students aged 7-18, aiming to cultivate coding and problem-solving abilities through hands-on engagement.

Utilizing proprietary hardware like Quarky AI & Robotics kits and evive STEM kits, alongside software such as PictoBlox (supporting graphical and Python coding), STEMpedia creates an interactive learning environment. It supports educators with comprehensive curriculum materials, teacher training programs, and resources, fostering a student-centric approach to prepare young minds for future technological advancements.

Features

  • AI & Robotics Kits: Hands-on hardware like Quarky and evive for building projects.
  • PictoBlox Software: Graphical and Python coding interface with integrated AI/ML capabilities.
  • Comprehensive Curriculum: Tailored books and learning resources for K-12 (CBSE/ICSE standards).
  • Teacher Training Programs: Equips educators with the necessary skills to teach coding, AI, and robotics.
  • Project-Based Learning: Access to community projects, examples, and learning resources.
  • AI and Machine Learning Education: Integrated modules and tools for learning AI concepts practically.
  • IoT Integration: Kits and software support the development of Internet of Things projects.
  • Multi-Level Learning: Caters to students from classes 1 through 12 with progressive complexity.

Use Cases

  • Implementing K-12 STEM Education programs.
  • Establishing AI & Robotics Labs in schools.
  • Integrating coding and AI curriculum into classrooms.
  • Providing professional development for teachers in AI and Robotics.
  • Facilitating hands-on robotics project building for students.
  • Teaching graphical and Python coding to beginners.
  • Introducing AI and Machine Learning concepts through practical application.
  • Developing student projects involving the Internet of Things (IoT).

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