K2 Learning Resources India Pvt. Ltd.
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Job Description: Educator – Computational Thinking, AI & Robotics (Grades 4–10)
Position Overview This role is responsible for leading the implementation of a progressive, technology-enabled curriculum that transitions students from foundational problem-solving to advanced technological applications. The educator will guide younger students (Grades 4–5) through unplugged, logic-based activities and progressively introduce middle and high school students (Grades 6–10) to coding, robotics hardware, and AI project lifecycles.
Key Result Areas (KRAs)
- Curriculum Delivery & Progression
- Execute a progressive curriculum aligned with NEP 2020 and current board frameworks (such as the CBSE 2026–27 CT & AI mandate).
- Grades 4–5: Facilitate foundational Computational Thinking (CT) — covering Decomposition, Pattern Recognition, Abstraction, and Algorithmic Thinking — heavily utilizing unplugged activities and game-based learning.
- Grades 6–8: Introduce basic Artificial Intelligence domains (Computer Vision, NLP, Data Science), visual/block-based coding, and introductory robotics.
- Grades 9–10: Drive advanced skill development through Python programming, the AI project lifecycle, data literacy, and capstone robotics integration.
- Interdisciplinary Integration
- Collaborate with Mathematics and Science faculty to embed computational thinking problems into standard academic subjects, ensuring technology is taught as a cross-disciplinary problem-solving tool rather than an isolated subject.
- Lab Infrastructure Management
- Oversee the composite STEM/Robotics lab, ensuring all hardware (microcontrollers, sensors, robotics kits) and software platforms are maintained, accessible, and updated.
- Assessment & Portfolio Development
- Transition assessment methods from observation checklists and performance tasks in primary grades to structured practical files, viva preparation, and capstone project portfolios in secondary grades.
Key Performance Indicators (KPIs)
- Curriculum Adherence: 100% completion of the mapped lesson plans and hands-on lab sessions within the academic term.
- Student Competency Mastery: At least 85% of students demonstrating grade-level proficiency in algorithmic thinking, coding, or robotics tasks during term assessments.
- Project Generation: A minimum of two cross-disciplinary capstone projects conceptualized and developed per class (for Grades 6–10) annually.
- Lab Operational Efficiency: Zero unresolved downtime for critical lab hardware or software exceeding 48 hours, alongside 100% inventory compliance.
Qualifications & Experience
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, Educational Technology, or a related field.
- Experience: 3+ years of teaching Computer Science, STEM, or Robotics to middle and high school students.
- Technical Proficiency: Strong command of Python, block-based coding environments (e.g., Scratch, Blockly), and educational robotics platforms (e.g., Arduino, Raspberry Pi). Familiarity with foundational machine learning models and data visualization tools.
Desired Competencies
- Pedagogical Adaptability: The ability to break down complex technological concepts for an 8-year-old just as effectively as a 15-year-old.
- Facilitation over Lecturing: A teaching style that prioritizes "safe-to-fail" exploration, guiding students through troubleshooting and debugging rather than simply providing answers.
- Ethical Tech Advocacy: Capability to sensitize students to digital responsibility, algorithmic bias, and the ethical implications of AI systems.
Interested candidates, please call on the below mentioned details,
Call or What’s App: Bharani from our Talent Acquisition Team: +91 - 9986008701
Click on Apply to know more.
