STEM Education Blueprint: Implementation Guide for School Management & Parents
How to implement a futuristic robotics lab and coding curriculum in schools. Essential NEP 2020 compliance strategies for parents and trustees.
National Education Policy (NEP 2020) and Futuristic Skills: A Comprehensive Guide for School Trustees, Management, and Parents
Twentieth-century education was predominantly centered around rote learning and theoretical knowledge. However, the 21st century belongs to technology, Artificial Intelligence (AI), and automation. Recognizing this global shift, the Government of India introduced the National Education Policy (NEP 2020), which strongly emphasizes practical knowledge, creativity, critical thinking, and problem-solving skills among students.
Under the core pillars of NEP 2020, provisions have been made to introduce Coding, STEM (Science, Technology, Engineering, Mathematics), and Robotics right from the school level. To achieve this objective, we have designed a specialized 3-tier curriculum for students from Grade 3 to Grade 8. This document presents a detailed outline of these three levels, alongside comprehensive guidelines for school boards (trustees) and parents to make this initiative a grand success.
Part 1: The 3-Tier Robotics and Coding Curriculum Framework
Keeping in mind the cognitive development and age groups of the students, the entire curriculum has been divided into three distinct levels:
ðŧ Level 1: Foundation - Core Coding Basics (For Grades 3 to 5)
The primary objective of this level is to familiarize students with the logic that runs behind a computer screen. At this tender age, children cannot directly learn text-based coding (such as C++ or Python), which is why they are introduced to visual learning.
Block-Based Coding: Students utilize software platforms like Scratch or Blockly, where colorful blocks of code are snapped together like puzzle pieces to build programs.
Core Concepts Covered: Sequencing (order of events), Loops (repetition), Conditions (if-then logic), and Variables.
Activities & Deliverables: Students independently design educational games, animated stories, and digital art puzzles. This fosters the development of Computational Thinking.
ð Level 2: Intermediate - Creative Coding & Circuits (For Grades 5 to 6)
Once students master foundational programming logic, they are transitioned from the purely virtual world of software into the tangible realm of physical hardware.
Electronics & Circuit Design: Understanding the connections of breadboards, resistors, LEDs, capacitors, and batteries. Gaining practical insights into how electrical current flows.
Microcontroller Simulation: Utilizing tools like Tinkercad to design and test circuits virtually, ensuring errors can be corrected safely without damaging physical components.
Sensors & Output Interfacing: Constructing miniature projects by combining simple switch controls, light sensors, and multiple output components.
Key Projects: Smart home lighting models, automated security alarm systems, and basic digital calculators.
ðĪ Level 3: Advanced Robotics (For Grades 7 to 8)
This level represents a true amalgamation of engineering and computer science. Here, students graduate to open-source microcontrollers (Arduino Uno) and text-based coding.
Arduino Architecture: Interfacing the programmable board’s various pins (Digital, Analog, PWM), communication ports, and power rails.
Advanced Sensors & Motors: Working with Ultrasonic sensors (for distance measurement), IR sensors (for line detection), Servo motors, and L298N motor drivers.
Autonomous Robots: Students assemble physical robot chassis, fitting DC motors and wheels to build intelligent, autonomous machines.
Grand Capstone Projects:
Obstacle Avoider Robot: A smart car that detects walls or hurdles and changes its path automatically.
Line Follower Robot: An automated vehicle that autonomously tracks and navigates a drawn black line.
Smartphone-Controlled Bluetooth Car: A robotic vehicle operated wirelessly via a mobile application.
Certification: Upon successful completion, students earn the honorary title of "Junior Robotics Engineer".
Part 2: Blueprint and Guidelines for School Trustees and Management
To manifest the vision of NEP 2020 within a school environment, the role of the management and board of trustees is paramount. The goal is to transform the institution from a traditional classroom setup into an Innovation Hub.
1. Infrastructure and STEM Lab (RoboLab) Setup
Schools must establish a dedicated Robotics and Coding Lab (RoboLab) featuring proper ventilation and adequate lighting.
Every workstation must be equipped with accessible power sockets, a computer/laptop pre-installed with Arduino IDE and Scratch, and essential engineering toolkits.
Inventory Management: Maintain an optimal stock of Arduino boards, sensors, jumper wires, batteries, and gearboxes so that no student is deprived of hands-on experimentation.
2. Trainer and Faculty Development
Standard computer teachers might lack advanced expertise in electronics hardware and embedded systems. Therefore, management should conduct specialized "Train the Trainer" (Faculty Development Programs) led by professional robotics engineers.
Trainers must be taught the precise pedagogy required to stimulate logical curiosity and independent problem-solving rather than encouraging students to memorize code scripts.
3. Timetable Allocation and Quality Control
Instead of treating coding and robotics as an optional, peripheral co-curricular activity, it must be integrated into the core academic timetable with at least 2 to 3 sessions per week.
Schedules should feature consecutive periods (block scheduling) so that students have ample time to assemble circuits, write code, and troubleshoot without interruption. Breaking up a session mid-build disrupts the learning continuum.
4. Project-Based Assessment (Exhibitions & Hackathons)
NEP 2020 advocates for practical, continuous evaluation over conventional pen-and-paper exams. Management should host an Annual Science & Robotics Hackathon.
When students showcase live demonstrations of their self-built autonomous robots to parents and the local community, it massively amplifies the school's brand equity and academic prestige.
Part 3: Guidelines and Counseling for Parents
Parents often misinterpret technical education either as passive "screen time" or as an unnecessary burden meant only for those aiming to be future software engineers. This framework seeks to bring a positive paradigm shift in parental perspective.
1. Understanding "Passive Screen Time" Vs. "Productive Screen Time"
Passive Screen Time: Consuming content aimlessly for hours on video-streaming platforms or scrolling through social media, which induces mental passivity.
Productive Screen Time (Coding): Active mental engagement. When a child codes, their brain actively problem-solves: "Why didn't my robot turn right when I pushed this button?" This process sharpens cognitive capabilities, and parents must learn to distinguish and value it.
2. Cultivating an Encouraging Home Environment
When your child prefers tinkering with wires and spreading circuit components across the living room table over playing with store-bought plastic toys, praise their curiosity instead of scolding them for the mess.
Ask thought-provoking questions: "What does this sensor do? Why did the buzzer beep?" Explaining their project to their parents boosts a child's confidence and refines their presentation skills.
3. Fostering Patience and Failure Resilience (Debugging)
In electronics and robotics, a system rarely functions perfectly on the first attempt. Wires may be loose, sensors might miscalibrate, or a syntax error (like a missing semicolon) might stall the code.
Parents must teach children that an "Error" is not a failure; it is an open invitation to learn through debugging. This mindset builds life-long resilience against real-world obstacles.
4. Advocating Gender Neutrality in STEM
Traditional societal stereotypes often relegate mechanics, circuitry, and hardware to boys, while steering girls away from technical engineering. NEP 2020 completely rejects this bias.
Parents must provide identical exposure and opportunities to daughters. Today, the global paradigm is championed heavily by Girls in STEM.
Part 4: The Long-Term Vision of NEP 2020 and Skill Development
The National Education Policy 2020 explicitly highlights that the global job landscape is undergoing a massive transformation. Fields like Data Science, the Internet of Things (IoT), Machine Learning, and Advanced Robotics are becoming the core drivers of the global economy.
When school trustees step up to provide cutting-edge infrastructure with an empowered faculty, and parents shed traditional biases to become active partners in this digital journey, Indian students will confidently compete on a global scale.
This 3-tier curriculum framework (Grades 3-8) does not merely make students digitally literate; it transforms them into future "Innovators and Creators"—individuals who do not just consume technology, but possess the vision and skill to engineer the future. This synergy between school management and the household marks the dawn of a new educational era.
āŠ°ાāŠ·્āŠ્āŠ°ીāŠŊ āŠķિāŠ્āŠ·āŠĢ āŠĻીāŠĪિ (NEP 2020) āŠ āŠĻે āŠāŠĩિāŠ·્āŠŊāŠēāŠ્āŠ·ી āŠૌāŠķāŠē્āŠŊો: āŠ્āŠ°āŠļ્āŠ āŠŪંāŠĄāŠģ, āŠļંāŠાāŠēāŠો āŠ āŠĻે āŠĩાāŠēીāŠ āŠŪાāŠે āŠŪાāŠ°્āŠāŠĶāŠ°્āŠķિāŠા
āŠĩીāŠļāŠŪી āŠļāŠĶીāŠĻું āŠķિāŠ્āŠ·āŠĢ āŠŪુāŠ્āŠŊāŠĪ્āŠĩે āŠોāŠāŠĢāŠŠāŠ્āŠી āŠ āŠĻે āŠļૈāŠĶ્āŠ§ાંāŠĪિāŠ āŠ્āŠાāŠĻ āŠŠāŠ° āŠāЧાāŠ°િāŠĪ āŠđāŠĪું, āŠŠāŠ°ંāŠĪુ āŦĻāŦ§āŠŪી āŠļāŠĶી āŠેāŠāŠĻોāŠēોāŠી, āŠāа્āŠિāŠŦિāŠķિāŠŊāŠē āŠāŠĻ્āŠેāŠēિāŠāŠĻ્āŠļ (AI) āŠ āŠĻે āŠāŠોāŠŪેāŠķāŠĻāŠĻી āŠે. āŠ āŠĩૈāŠķ્āŠĩિāŠ āŠŠāŠ°િāŠĩāŠ°્āŠĪāŠĻāŠĻે āŠ§્āŠŊાāŠĻāŠŪાં āŠ°ાāŠીāŠĻે āŠાāŠ°āŠĪ āŠļāŠ°āŠાāŠ° āŠĶ્āŠĩાāŠ°ા āŠ āŠŪāŠēāŠŪાં āŠŪૂāŠāŠĩાāŠŪાં āŠāŠĩેāŠēી āŠ°ાāŠ·્āŠ્āŠ°ીāŠŊ āŠķિāŠ્āŠ·āŠĢ āŠĻીāŠĪિ (NEP 2020) āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠāŠŪાં āŠŠ્āŠ°ાāŠŊોāŠિāŠ āŠ્āŠાāŠĻ, āŠļāŠ°્āŠāŠĻાāŠĪ્āŠŪāŠāŠĪા (Creativity), āŠĪાāŠ°્āŠિāŠ āŠĩિāŠાāŠ°āŠļāŠ°āŠĢી (Critical Thinking) āŠ āŠĻે āŠļāŠŪāŠļ્āŠŊા āŠāŠેāŠēāŠĩાāŠĻા āŠૌāŠķāŠē્āŠŊો (Problem-Solving Skills) āŠĩિāŠāŠļાāŠĩāŠĩા āŠŠāŠ° āŠાāŠ° āŠŪૂāŠે āŠે.
NEP 2020 āŠĻા āŠŪુāŠ્āŠŊ āŠŠાāŠŊા āŠ ંāŠĪāŠ°્āŠāŠĪ āŠķાāŠģાāŠĻા āŠļ્āŠĪāŠ°āŠĨી āŠ āŠŽાāŠģāŠોāŠĻે āŠોāŠĄિંāŠ, āŠļ્āŠેāŠŪ (STEM - Science, Technology, Engineering, Mathematics) āŠ āŠĻે āŠ°ોāŠŽોāŠિāŠ્āŠļāŠĻું āŠķિāŠ્āŠ·āŠĢ āŠāŠŠāŠĩાāŠĻી āŠોāŠāŠĩાāŠ āŠāаāŠĩાāŠŪાં āŠāŠĩી āŠે. āŠ āŠēāŠ્āŠ·્āŠŊāŠĻે āŠļિāŠĶ્āŠ§ āŠāаāŠĩા āŠŪાāŠે āŠāŠŠāŠĢે āŠ§ોāŠ°āŠĢ-āŦĐ āŠĨી āŠ§ોāŠ°āŠĢ-āŦŪ āŠĻા āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠŪાāŠે āŦĐ āŠĪāŠŽāŠ્āŠાāŠŪાં āŠĩāŠđેંāŠાāŠŊેāŠēો āŠāŠ āŠĩિāŠķેāŠ· āŠ āŠ્āŠŊાāŠļāŠ્āŠ°āŠŪ āŠĪૈāŠŊાāŠ° āŠāа્āŠŊો āŠે. āŠ āŠĶāŠļ્āŠĪાāŠĩેāŠāŠŪાં āŠĪ્āŠ°āŠĢેāŠŊ āŠēેāŠĩāŠēāŠĻી āŠĩિāŠāŠĪāŠĩાāŠ° āŠ°ૂāŠŠāŠ°ેāŠા āŠ āŠĻે āŠ āŠŠ્āŠ°āŠĩૃāŠĪ્āŠĪિāŠĻે āŠļāŠŦāŠģ āŠŽāŠĻાāŠĩāŠĩા āŠŪાāŠે āŠķાāŠģાāŠĻા āŠ્āŠ°āŠļ્āŠ āŠŪંāŠĄāŠģ āŠĪેāŠŪāŠ āŠĩાāŠēીāŠ āŠŪાāŠેāŠĻી āŠĩિāŠļ્āŠĪૃāŠĪ āŠŪાāŠ°્āŠāŠĶāŠ°્āŠķિāŠા āŠŠ્āŠ°āŠļ્āŠĪુāŠĪ āŠે.
āŠાāŠ āŦ§: āŦĐ-āŠļ્āŠĪāŠ°ીāŠŊ āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠ āŠĻે āŠોāŠĄિંāŠ āŠ āŠ્āŠŊાāŠļāŠ્āŠ°āŠŪ (Curriculum Framework)
āŠŽાāŠģāŠāŠĻા āŠŪાāŠĻāŠļિāŠ āŠĩિāŠાāŠļ āŠ āŠĻે āŠĩāŠŊāŠૂāŠĨāŠĻે āŠ§્āŠŊાāŠĻāŠŪાં āŠ°ાāŠીāŠĻે āŠļāŠŪāŠ્āŠ° āŠ āŠ્āŠŊાāŠļāŠ્āŠ°āŠŪāŠĻે āŠĪ્āŠ°āŠĢ āŠŪુāŠ્āŠŊ āŠļ્āŠĪāŠ°ોāŠŪાં āŠĩિāŠાāŠિāŠĪ āŠāаāŠĩાāŠŪાં āŠāŠĩ્āŠŊો āŠે.
ðŧ āŠēેāŠĩāŠē āŦ§: āŠŦાāŠāŠĻ્āŠĄેāŠķāŠĻ - āŠોāŠĄિંāŠāŠĻા āŠŠાāŠŊા (āŠ્āŠ°ેāŠĄ āŦĐ āŠĨી āŦŦ āŠŪાāŠે)
āŠ āŠļ્āŠĪāŠ°āŠĻો āŠŪુāŠ્āŠŊ āŠāŠĶ્āŠĶેāŠķ્āŠŊ āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠāŠĻે āŠāŠŪ્āŠŠ્āŠŊુāŠāа āŠļ્āŠ્āŠ°ીāŠĻāŠĻી āŠŠાāŠāŠģ āŠાāŠēāŠĪા āŠēોāŠિāŠāŠĨી āŠŠāŠ°િāŠિāŠĪ āŠāаાāŠĩāŠĩાāŠĻો āŠે. āŠ āŠંāŠŪāŠ°ે āŠŽાāŠģāŠ āŠેāŠ્āŠļ્āŠ-āŠāЧાāŠ°િāŠĪ āŠોāŠĄિંāŠ (āŠેāŠŪ āŠે C++ āŠે Python) āŠļીāŠ§ું āŠķીāŠી āŠķāŠāŠĪું āŠĻāŠĨી, āŠĪેāŠĨી āŠĪેāŠĻે āŠĩિāŠ્āŠŊુāŠ āŠē āŠēāŠ°્āŠĻિંāŠ āŠĪāŠ°āŠŦ āŠĩાāŠģāŠĩાāŠŪાં āŠāŠĩે āŠે.
āŠŽ્āŠēોāŠ-āŠāЧાāŠ°િāŠĪ āŠોāŠĄિંāŠ (Block-based Coding): āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ Scratch āŠ āŠĨāŠĩા Blockly āŠેāŠĩા āŠļોāŠŦ્āŠāŠĩેāŠ° āŠŠ્āŠēેāŠāŠŦોāŠ°્āŠŪāŠĻો āŠāŠŠāŠŊોāŠ āŠāаે āŠે, āŠ્āŠŊાં āŠોāŠĄāŠĻા āŠ°ંāŠāŠŽેāŠ°ંāŠી āŠŽ્āŠēોāŠ્āŠļāŠĻે āŠŠāŠāŠēāŠĻી āŠેāŠŪ āŠāŠāŠŽીāŠા āŠļાāŠĨે āŠોāŠĄીāŠĻે āŠŠ્āŠ°ોāŠ્āŠ°ાāŠŪ āŠŽāŠĻાāŠĩāŠĩાāŠŪાં āŠāŠĩે āŠે.
āŠŪુāŠ્āŠŊ āŠāŠĻ્āŠļેāŠŠ્āŠ્āŠļ: āŠļિāŠ્āŠĩāŠĻ્āŠļિંāŠ (āŠāŠāŠĻાāŠāŠĻો āŠ્āŠ°āŠŪ), āŠēૂāŠŠ્āŠļ (āŠŠુāŠĻāŠ°ાāŠĩāŠ°્āŠĪāŠĻ), āŠāŠĻ્āŠĄિāŠķāŠĻ્āŠļ (āŠો-āŠĪો āŠĻા āŠēોāŠિāŠ), āŠ āŠĻે āŠĩેāŠ°િāŠŊેāŠŽāŠē્āŠļ.
āŠŠ્āŠ°āŠĩૃāŠĪ્āŠĪિāŠ āŠ āŠĻે āŠāŠāŠāŠŠુāŠ: āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠાāŠĪે āŠķૈāŠ્āŠ·āŠĢિāŠ āŠેāŠŪ્āŠļ, āŠāŠĻિāŠŪેāŠķāŠĻ āŠĩાāŠ°્āŠĪાāŠ āŠ āŠĻે āŠĄિāŠિāŠāŠē āŠāа્āŠ āŠŠāŠāŠē્āŠļ āŠŽāŠĻાāŠĩે āŠે. āŠāŠĻાāŠĨી āŠĪેāŠŪāŠĻાāŠŪાં 'Computational Thinking' (āŠāŠĢāŠĪāŠ°ીāŠŠૂāŠ°્āŠĩāŠāŠĻી āŠĩિāŠાāŠ°āŠļāŠ°āŠĢી) āŠĻો āŠĩિāŠાāŠļ āŠĨાāŠŊ āŠે.
ð āŠēેāŠĩāŠē āŦĻ: āŠāŠĻ્āŠāаāŠŪીāŠĄિāŠŊેāŠ - āŠ્āŠ°િāŠāŠિāŠĩ āŠોāŠĄિંāŠ āŠ āŠĻે āŠļāŠ°્āŠિāŠ (āŠ્āŠ°ેāŠĄ āŦŦ āŠĨી āŦŽ āŠŪાāŠે)
āŠ્āŠŊાāŠ°ે āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠોāŠĄિંāŠāŠĻું āŠŪૂāŠģāŠૂāŠĪ āŠēોāŠિāŠ āŠļāŠŪāŠી āŠાāŠŊ āŠે, āŠĪ્āŠŊાāŠ°ે āŠĪેāŠŪāŠĻે āŠļોāŠŦ્āŠāŠĩેāŠ°āŠĻી āŠĶુāŠĻિāŠŊાāŠŪાંāŠĨી āŠŽāŠđાāŠ° āŠēાāŠĩીāŠĻે āŠૌāŠĪિāŠ āŠđાāŠ°્āŠĄāŠĩેāŠ° (Physical Hardware) āŠļાāŠĨે āŠŠāŠ°િāŠāŠŊ āŠāаાāŠĩāŠĩાāŠŪાં āŠāŠĩે āŠે.
āŠāŠēેāŠ્āŠ્āŠ°ોāŠĻિāŠ્āŠļ āŠ āŠĻે āŠļāŠ°્āŠિāŠ āŠĄિāŠાāŠāŠĻ: āŠŽ્āŠ°ેāŠĄāŠŽોāŠ°્āŠĄ, āŠ°āŠિāŠļ્āŠāа, LED, āŠેāŠŠેāŠļિāŠāа āŠ āŠĻે āŠŽેāŠāаીāŠĻા āŠોāŠĄાāŠĢો āŠļāŠŪāŠāŠĩા. āŠāаંāŠāŠĻો āŠŦ્āŠēો āŠāŠ āŠ°ીāŠĪે āŠાāŠŪ āŠāаે āŠે āŠĪેāŠĻું āŠŠ્āŠ°ાāŠŊોāŠિāŠ āŠ્āŠાāŠĻ.
āŠŪાāŠāŠ્āŠ°ોāŠāŠĻ્āŠ્āŠ°ોāŠēāŠ° āŠļિāŠŪ્āŠŊુāŠēેāŠķāŠĻ: Tinkercad āŠેāŠĩા āŠૂāŠē્āŠļāŠĻા āŠŪાāŠ§્āŠŊāŠŪāŠĨી āŠĩāŠ°્āŠ્āŠŊુāŠ āŠē āŠ°ીāŠĪે āŠļāŠ°્āŠિāŠ āŠĄિāŠાāŠāŠĻ āŠāаāŠĩી āŠ āŠĻે āŠેāŠļ્āŠ āŠāаāŠĩી, āŠેāŠĨી āŠđાāŠ°્āŠĄāŠĩેāŠ°āŠĻે āŠĻુāŠāŠļાāŠĻ āŠĨāŠŊા āŠĩāŠāа āŠૂāŠēો āŠļુāŠ§ાāŠ°ી āŠķāŠાāŠŊ.
āŠļેāŠĻ્āŠļāŠ°્āŠļ āŠ āŠĻે āŠāŠāŠāŠŠુāŠ āŠāŠĻ્āŠāаāŠŦેāŠļ: āŠļાāŠĶા āŠļ્āŠĩિāŠ āŠંāŠ્āŠ°ોāŠē, āŠēાāŠāŠ āŠļેāŠĻ્āŠļāŠ°્āŠļ āŠ āŠĻે āŠŪāŠē્āŠિāŠŠāŠē āŠāŠāŠāŠŠુāŠ āŠāŠŪ્āŠŠોāŠĻāŠĻ્āŠ્āŠļāŠĻે āŠāŠāŠļાāŠĨે āŠોāŠĄીāŠĻે āŠĻાāŠĻા āŠŠ્āŠ°ોāŠેāŠ્āŠ્āŠļ āŠŽāŠĻાāŠĩāŠĩા.
āŠŠ્āŠ°ોāŠેāŠ્āŠ્āŠļ: āŠļ્āŠŪાāŠ°્āŠ āŠđોāŠŪ āŠēાāŠāŠિંāŠāŠĻું āŠŪોāŠĄેāŠē, āŠļિāŠ્āŠŊોāŠ°િāŠી āŠāŠēાāŠ°્āŠŪ āŠļિāŠļ્āŠāŠŪ āŠ āŠĻે āŠļાāŠĶા āŠેāŠē્āŠ્āŠŊુāŠēેāŠāа āŠŠ્āŠ°ોāŠ્āŠ°ાāŠŪ્āŠļ.
ðĪ āŠēેāŠĩāŠē āŦĐ: āŠāŠĄāŠĩાāŠĻ્āŠļ āŠ°ોāŠŽોāŠિāŠ્āŠļ (āŠ્āŠ°ેāŠĄ āŦ āŠĨી āŦŪ āŠŪાāŠે)
āŠ āŠļ્āŠĪāŠ° āŠļાāŠા āŠ āŠ°્āŠĨāŠŪાં āŠāŠĻ્āŠિāŠĻિāŠŊāŠ°િંāŠ āŠ āŠĻે āŠŠ્āŠ°ોāŠ્āŠ°ાāŠŪિંāŠāŠĻું āŠŪિāŠķ્āŠ°āŠĢ āŠે. āŠ āŠđીં āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠāŠŠāŠĻ-āŠļોāŠ°્āŠļ āŠŪાāŠāŠ્āŠ°ોāŠāŠĻ્āŠ્āŠ°ોāŠēāŠ° (Arduino Uno) āŠ āŠĻે āŠેāŠ્āŠļ્āŠ-āŠāЧાāŠ°િāŠĪ āŠĩાāŠļ્āŠĪāŠĩિāŠ āŠોāŠĄિંāŠ āŠĪāŠ°āŠŦ āŠāŠāŠģ āŠĩāŠ§ે āŠે.
Arduino āŠāа્āŠિāŠેāŠ્āŠāа: āŠŠ્āŠ°ોāŠ્āŠ°ાāŠŪેāŠŽāŠē āŠŽોāŠ°્āŠĄāŠĻી āŠŠિāŠĻ્āŠļ (Digital, Analog, PWM), āŠāŠŪ્āŠŊુāŠĻિāŠેāŠķāŠĻ āŠŠોāŠ°્āŠ્āŠļ āŠ āŠĻે āŠŠાāŠĩāŠ° āŠ°ેāŠāŠēāŠĻું āŠāŠĻ્āŠāаāŠŦેāŠļિંāŠ.
āŠāŠĄāŠĩાāŠĻ્āŠļ āŠļેāŠĻ્āŠļāŠ°્āŠļ āŠ āŠĻે āŠŪોāŠāа્āŠļ: āŠ āŠē્āŠ્āŠ°ાāŠļોāŠĻિāŠ āŠļેāŠĻ્āŠļāŠ° (āŠ ંāŠĪāŠ° āŠŪાāŠŠāŠĩા āŠŪાāŠે), IR āŠļેāŠĻ્āŠļāŠ° (āŠēાāŠāŠĻ āŠĄિāŠેāŠ્āŠķāŠĻ), Servo āŠŪોāŠāа્āŠļ āŠ āŠĻે L298N āŠŪોāŠāа āŠĄ્āŠ°ાāŠāŠĩāŠ°્āŠļ.
āŠļ્āŠĩાāŠŊāŠĪ્āŠĪ āŠ°ોāŠŽોāŠ્āŠļ (Autonomous Robots): āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠŠોāŠĪાāŠĻા āŠđાāŠĨે āŠŪેāŠેāŠĻિāŠāŠē āŠેāŠļીāŠļ āŠŠāŠ° āŠŪોāŠāа્āŠļ āŠ āŠĻે āŠĩ્āŠđીāŠē્āŠļ āŠŦિāŠ āŠāаીāŠĻે āŠļ્āŠŪાāŠ°્āŠ āŠ°ોāŠŽોāŠ્āŠļ āŠŽāŠĻાāŠĩે āŠે.
āŠ્āŠ°ાāŠĻ્āŠĄ āŠŠ્āŠ°ોāŠેāŠ્āŠ્āŠļ: āŠāŠŽ્āŠļ્āŠેāŠāŠē āŠ āŠĩોāŠāŠĄāŠ° āŠ°ોāŠŽોāŠ (āŠļાāŠŪે āŠĶીāŠĩાāŠē āŠāŠĩāŠĪા āŠાāŠĪે āŠ°āŠļ્āŠĪો āŠŽāŠĶāŠēāŠĪી āŠાāŠ°), āŠēાāŠāŠĻ āŠŦોāŠēોāŠ āŠ° āŠ°ોāŠŽોāŠ (āŠાāŠģી āŠŠāŠ્āŠી āŠŠāŠ° āŠāŠŠāŠŪેāŠģે āŠાāŠēāŠĪો āŠ°ોāŠŽોāŠ), āŠ āŠĻે āŠļ્āŠŪાāŠ°્āŠāŠŦોāŠĻ āŠļંāŠાāŠēિāŠĪ āŠŽ્āŠēૂāŠૂāŠĨ āŠ°ોāŠŽોāŠિāŠ āŠાāŠ°. āŠ āŠļ્āŠĪāŠ° āŠŠૂāŠ°્āŠĢ āŠāаāŠĻાāŠ°āŠĻે "Junior Robotics Engineer" āŠĻું āŠŽāŠđુāŠŪાāŠĻ āŠŪāŠģે āŠે.
āŠાāŠ āŦĻ: āŠ્āŠ°āŠļ્āŠ āŠŪંāŠĄāŠģ āŠ āŠĻે āŠķાāŠģા āŠļંāŠાāŠēāŠો āŠŪાāŠેāŠĻી āŠŪાāŠ°્āŠāŠĶāŠ°્āŠķિāŠા (Trustee Guidelines)
NEP 2020 āŠĻા āŠĩિāŠāŠĻāŠĻે āŠķાāŠģાāŠŪાં āŠĩાāŠļ્āŠĪāŠĩિāŠ āŠļ્āŠĩāŠ°ૂāŠŠ āŠāŠŠāŠĩા āŠŪાāŠે āŠ્āŠ°āŠļ્āŠ āŠŪંāŠĄāŠģāŠĻી āŠૂāŠŪિāŠા āŠļૌāŠĨી āŠŪāŠđāŠĪ્āŠĩāŠŠૂāŠ°્āŠĢ āŠે. āŠŦāŠ્āŠĪ āŠŠુāŠļ્āŠĪāŠીāŠŊ āŠ્āŠાāŠĻ āŠāŠŠāŠĩાāŠĻા āŠļ્āŠĨાāŠĻે āŠķાāŠģાāŠĻે āŠāŠ 'āŠāŠĻોāŠĩેāŠķāŠĻ āŠđāŠŽ' āŠŽāŠĻાāŠĩāŠĩાāŠĻી āŠāŠĩાāŠŽāŠĶાāŠ°ી āŠļંāŠાāŠēāŠોāŠĻી āŠે.
āŦ§. āŠāŠĻ્āŠŦ્āŠ°ાāŠļ્āŠ્āŠ°āŠ્āŠāа āŠ āŠĻે āŠļ્āŠેāŠŪ āŠēેāŠŽ (RoboLab) āŠĻી āŠļ્āŠĨાāŠŠāŠĻા
ØīાāŠģાāŠŪાં āŠāŠ āŠļāŠŪāŠ°્āŠŠિāŠĪ 'āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠāŠĻ્āŠĄ āŠોāŠĄિંāŠ āŠēેāŠŽ' (RoboLab) āŠĪૈāŠŊાāŠ° āŠāаāŠĩી āŠāаૂāŠ°ી āŠે. āŠ āŠēેāŠŽāŠŪાં āŠđāŠĩાāŠĻી āŠ āŠĩāŠ°āŠāŠĩāŠ° āŠ āŠĻે āŠŠૂāŠ°āŠĪી āŠēાāŠāŠિંāŠ āŠđોāŠĩી āŠોāŠāŠ.
āŠĶāŠ°ેāŠ āŠેāŠŽāŠē āŠŠāŠ° āŠŠાāŠĩāŠ° āŠļોāŠેāŠ્āŠļ, āŠāŠŪ્āŠŠ્āŠŊુāŠāа/āŠēેāŠŠāŠોāŠŠ (āŠેāŠŪાં Arduino IDE āŠ āŠĻે Scratch āŠļોāŠŦ્āŠāŠĩેāŠ° āŠāŠĻ્āŠļ્āŠોāŠē āŠāаેāŠēા āŠđોāŠŊ) āŠ āŠĻે āŠāŠĻ્āŠિāŠĻિāŠŊāŠ°િંāŠ āŠૂāŠē āŠિāŠ્āŠļ āŠāŠŠāŠēāŠŽ્āŠ§ āŠđોāŠĩી āŠોāŠāŠ.
āŠāŠĻ્āŠĩેāŠĻ્āŠāаી āŠŪેāŠĻેāŠāŠŪેāŠĻ્āŠ: Arduino āŠŽોāŠ°્āŠĄ, āŠļેāŠĻ્āŠļāŠ°્āŠļ, āŠāŠŪ્āŠŠāŠ° āŠĩાāŠŊāŠ°્āŠļ, āŠŽેāŠāаીāŠ āŠ āŠĻે āŠિāŠŊāŠ° āŠŽોāŠ્āŠļāŠĻો āŠŠૂāŠ°āŠĪો āŠļ્āŠોāŠ āŠ°ાāŠāŠĩો, āŠેāŠĨી āŠોāŠ āŠŠāŠĢ āŠŽાāŠģāŠ āŠļાāŠ§āŠĻોāŠĻા āŠ āŠાāŠĩે āŠŠ્āŠ°āŠŊોāŠāŠĨી āŠĩંāŠિāŠĪ āŠĻ āŠ°āŠđે.
āŦĻ. āŠ્āŠ°ેāŠĻāŠ°્āŠļ āŠ āŠĻે āŠķિāŠ્āŠ·āŠોāŠĻી āŠļāŠ્āŠāŠĪા (Faculty Development)
āŠļાāŠŪાāŠĻ્āŠŊ āŠāŠŪ્āŠŠ્āŠŊુāŠāа āŠķિāŠ્āŠ·āŠોāŠĻે āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠ āŠĻે āŠāŠēેāŠ્āŠ્āŠ°ોāŠĻિāŠ્āŠļ āŠđાāŠ°્āŠĄāŠĩેāŠ°āŠĻું āŠāŠĄāŠĩાāŠĻ્āŠļ āŠ્āŠાāŠĻ āŠĻ āŠđોāŠ āŠķāŠે. āŠĪેāŠĨી, āŠļંāŠાāŠēāŠોāŠ āŠĻિāŠ·્āŠĢાāŠĪ āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠāŠĻ્āŠિāŠĻિāŠŊāŠ°્āŠļ āŠĶ્āŠĩાāŠ°ા āŠķિāŠ્āŠ·āŠો āŠŪાāŠે 'āŠ્āŠ°ેāŠĻિંāŠ āŠ§ āŠ્āŠ°ેāŠĻāŠ°' (FDP) āŠŠ્āŠ°ોāŠ્āŠ°ાāŠŪ્āŠļ āŠāŠŊોāŠિāŠĪ āŠāаāŠĩા āŠોāŠāŠ.
āŠķિāŠ્āŠ·āŠોāŠĻે āŠŪાāŠĪ્āŠ° āŠોāŠĄિંāŠ āŠોāŠાāŠĩāŠĩાāŠĻે āŠŽāŠĶāŠēે āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠāŠŪાં 'Problem Solving' āŠĻી āŠĩૃāŠĪ્āŠĪિ āŠેāŠĩી āŠ°ીāŠĪે āŠāŠાāŠĄāŠĩી āŠĪેāŠĻી āŠŠેāŠĄાāŠોāŠી (āŠķિāŠ્āŠ·āŠĢāŠķાāŠļ્āŠĪ્āŠ°) āŠķીāŠāŠĩāŠĩી.
āŦĐ. āŠļāŠŪāŠŊāŠŠāŠĪ્āŠ°āŠ (Time Table) āŠŪાં āŠļ્āŠĨાāŠĻ āŠ āŠĻે āŠુāŠĢāŠĩāŠĪ્āŠĪા
āŠોāŠĄિંāŠ āŠ āŠĻે āŠ°ોāŠŽોāŠિāŠ્āŠļāŠĻે āŠŪાāŠĪ્āŠ° āŠļāŠđ-āŠ āŠ્āŠŊાāŠļિāŠ āŠŠ્āŠ°āŠĩૃāŠĪ્āŠĪિ (Co-curricular) āŠĪāŠ°ીāŠે āŠૂāŠĢાāŠŪાં āŠ§āŠેāŠēી āŠĶેāŠĩાāŠĻે āŠŽāŠĶāŠēે āŠŪુāŠ્āŠŊ āŠļāŠŪāŠŊāŠŠāŠĪ્āŠ°āŠāŠŪાં āŠļāŠŠ્āŠĪાāŠđāŠĻા āŠāŠાāŠŪાં āŠāŠા āŦĻ āŠĨી āŦĐ āŠļેāŠķāŠĻ āŠŦાāŠģāŠĩāŠĩા āŠોāŠāŠ.
āŠļāŠĪ્āŠ°ો āŠļāŠĪāŠĪ āŠđોāŠĩા āŠોāŠāŠ (āŠĶા.āŠĪ. āŠŽે āŠļેāŠķāŠĻ āŠļāŠģંāŠ āŠ°ાāŠāŠĩા), āŠેāŠĨી āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠļāŠ°્āŠિāŠ āŠāŠļેāŠŪ્āŠŽāŠē āŠāаીāŠĻે āŠોāŠĄ āŠેāŠļ્āŠ āŠāаી āŠķāŠે. āŠ āŠ§ૂāŠ°ા āŠļેāŠķāŠĻāŠŪાં āŠ°ોāŠŽોāŠ āŠ āŠĄāŠ§ો āŠŽāŠĻેāŠēો āŠોāŠĄāŠĩો āŠŠāŠĄે āŠĪો āŠēāŠ°્āŠĻિંāŠ āŠēિંāŠ āŠĪૂāŠી āŠાāŠŊ āŠે.
āŦŠ. āŠŠ્āŠ°āŠĶāŠ°્āŠķāŠĻ āŠ āŠĻે āŠŠ્āŠ°ોāŠેāŠ્āŠ āŠāЧાāŠ°િāŠĪ āŠŪૂāŠē્āŠŊાંāŠāŠĻ (Exhibitions & Hackathons)
NEP 2020 āŠŠāŠ°ંāŠŠāŠ°ાāŠāŠĪ āŠēેāŠિāŠĪ āŠŠāŠ°ીāŠ્āŠ·ાāŠāŠĻા āŠļ્āŠĨાāŠĻે āŠŠ્āŠ°ાāŠŊોāŠિāŠ āŠŪૂāŠē્āŠŊાંāŠāŠĻāŠĻી āŠāŠēાāŠŪāŠĢ āŠāаે āŠે. āŠķાāŠģા āŠ્āŠ°āŠļ્āŠે āŠĩાāŠ°્āŠ·િāŠ āŠ§ોāŠ°āŠĢે 'āŠļાāŠŊāŠĻ્āŠļ āŠāŠĻ્āŠĄ āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠđેāŠાāŠĨોāŠĻ' āŠĻું āŠāŠŊોāŠāŠĻ āŠāаāŠĩું āŠોāŠāŠ.
āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠ āŠ્āŠŊાāŠ°ે āŠŠોāŠĪાāŠĻા āŠŽāŠĻાāŠĩેāŠēા āŠ°ોāŠŽોāŠ્āŠļāŠĻું āŠēાāŠāŠĩ āŠĄેāŠŪોāŠĻ્āŠļ્āŠ્āŠ°ેāŠķāŠĻ āŠāŠŠāŠķે, āŠĪ્āŠŊાāŠ°ે āŠķાāŠģાāŠĻી āŠŽ્āŠ°ાāŠĻ્āŠĄ āŠĩેāŠē્āŠŊુ āŠ āŠĻે āŠļાāŠŪાāŠિāŠ āŠŠ્āŠ°āŠĪિāŠ·્āŠ ાāŠŪાં āŠ āŠૂāŠĪāŠŠૂāŠ°્āŠĩ āŠĩāŠ§ાāŠ°ો āŠĨāŠķે.
āŠાāŠ āŦĐ: āŠĩાāŠēીāŠ āŠŪાāŠે āŠŪાāŠ°્āŠāŠĶāŠ°્āŠķિāŠા āŠ āŠĻે āŠાāŠāŠĻ્āŠļેāŠēિંāŠ (Parents Guidelines)
āŠāŠĢીāŠĩાāŠ° āŠĩાāŠēીāŠ āŠેāŠāŠĻોāŠēોāŠી āŠ āŠĻે āŠોāŠĄિંāŠāŠĻા āŠķિāŠ્āŠ·āŠĢāŠĻે āŠŪાāŠĪ્āŠ° 'āŠļ્āŠ્āŠ°ીāŠĻ āŠાāŠāŠŪ' āŠ āŠĨāŠĩા 'āŠāŠĩિāŠ·્āŠŊāŠŪાં āŠāŠĻ્āŠિāŠĻિāŠŊāŠ° āŠŽāŠĻāŠĩા āŠŪાāŠેāŠĻી āŠĩāŠ§ાāŠ°ાāŠĻી āŠŪāŠđેāŠĻāŠĪ' āŠļāŠŪāŠીāŠĻે āŠ āŠĩāŠāŠĢāŠĪા āŠđોāŠŊ āŠે. āŠĩાāŠēીāŠāŠĻી āŠĩિāŠાāŠ°āŠļāŠ°āŠĢીāŠŪાં āŠļāŠાāŠ°ાāŠĪ્āŠŪāŠ āŠŠāŠ°િāŠĩāŠ°્āŠĪāŠĻ āŠēાāŠĩāŠĩા āŠŪાāŠે āŠ āŠŪાāŠ°્āŠāŠĶāŠ°્āŠķિāŠા āŠ āŠĻિāŠĩાāŠ°્āŠŊ āŠે.
āŦ§. 'āŠļ્āŠ્āŠ°ીāŠĻ āŠાāŠāŠŪ' āŠĩિāŠ°ુāŠĶ્āŠ§ 'āŠŠ્āŠ°ોāŠĄāŠ્āŠિāŠĩ āŠļ્āŠ્āŠ°ીāŠĻ āŠાāŠāŠŪ' āŠĻો āŠĪāŠŦાāŠĩāŠĪ āŠļāŠŪāŠāŠĩો
āŠĻāŠાāŠ°ાāŠĪ્āŠŪāŠ āŠļ્āŠ્āŠ°ીāŠĻ āŠાāŠāŠŪ: āŠŽાāŠģāŠ āŠāŠēાāŠો āŠļુāŠ§ી āŠŊુāŠ્āŠŊુāŠŽ āŠŠāŠ° āŠĩીāŠĄિāŠŊો āŠુāŠ āŠે āŠ āŠĨāŠĩા āŠļોāŠķિāŠŊāŠē āŠŪીāŠĄિāŠŊા āŠļ્āŠ્āŠ°ોāŠē āŠāаે āŠે, āŠે āŠĪેāŠĻા āŠŪāŠāŠāŠĻે āŠĻિāŠ·્āŠ્āŠ°િāŠŊ āŠŽāŠĻાāŠĩે āŠે.
āŠŠ્āŠ°ોāŠĄāŠ્āŠિāŠĩ āŠļ્āŠ્āŠ°ીāŠĻ āŠાāŠāŠŪ (āŠોāŠĄિંāŠ): āŠ્āŠŊાāŠ°ે āŠŽાāŠģāŠ āŠોāŠĄિંāŠ āŠāаે āŠે, āŠĪ્āŠŊાāŠ°ે āŠĪેāŠĻું āŠŪāŠāŠ āŠāŠ્āŠિāŠĩ āŠđોāŠŊ āŠે. āŠĪે āŠĩિāŠાāŠ°ે āŠે āŠે, "āŠો āŠđું āŠ āŠŽāŠāŠĻ āŠĶāŠŽાāŠĩું, āŠĪો āŠ°ોāŠŽોāŠ āŠāŠŪāŠĢી āŠĪāŠ°āŠŦ āŠેāŠŪ āŠĻ āŠĩāŠģ્āŠŊો?" āŠ āŠŠ્āŠ°āŠ્āŠ°િāŠŊા āŠŽાāŠģāŠāŠĻી āŠĪાāŠ°્āŠિāŠ āŠ્āŠ·āŠŪāŠĪા āŠĩāŠ§ાāŠ°ે āŠે. āŠĩાāŠēીāŠāŠ āŠ āŠĪāŠŦાāŠĩāŠĪ āŠļāŠŪāŠāŠĩો āŠ āŠŠāŠĄāŠķે.
āŦĻ. āŠāаે āŠŠ્āŠ°ોāŠĪ્āŠļાāŠđāŠ āŠĩાāŠĪાāŠĩāŠ°āŠĢ āŠŠૂāŠ°ું āŠŠાāŠĄāŠĩું
āŠ્āŠŊાāŠ°ે āŠŽાāŠģāŠ āŠŽāŠાāŠ°āŠŪાંāŠĨી āŠēાāŠĩેāŠēા āŠŪોંāŠા āŠ°āŠŪāŠāŠĄાં āŠ°āŠŪāŠĩાāŠĻે āŠŽāŠĶāŠēે āŠĪેāŠĻા āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠિāŠāŠĻા āŠĩાāŠŊāŠ°ો āŠāŠા āŠāаāŠŪાં āŠĩિāŠેāŠ°ીāŠĻે āŠŽેāŠļે, āŠĪ્āŠŊાāŠ°ે āŠĪેāŠĻે āŠēāŠĄāŠĩાāŠĻે āŠŽāŠĶāŠēે āŠŠ્āŠ°ોāŠĪ્āŠļાāŠđિāŠĪ āŠāаો.
āŠĪેāŠĻે āŠŠ્āŠ°āŠķ્āŠĻો āŠŠૂāŠો: "āŠŽેāŠા, āŠ āŠļેāŠĻ્āŠļāŠ°āŠĻું āŠાāŠŪ āŠķું āŠે? āŠ āŠŽāŠāа āŠેāŠŪ āŠĩાāŠ્āŠŊું?" āŠ્āŠŊાāŠ°ે āŠŽાāŠģāŠ āŠĩાāŠēીāŠĻે āŠŠોāŠĪાāŠĻો āŠŠ્āŠ°ોāŠેāŠ્āŠ āŠļāŠŪāŠાāŠĩે āŠે, āŠĪ્āŠŊાāŠ°ે āŠĪેāŠĻો āŠāŠĪ્āŠŪāŠĩિāŠķ્āŠĩાāŠļ (Presentation Skills) āŠŽāŠŪāŠĢો āŠĨāŠ āŠાāŠŊ āŠે.
āŦĐ. āŠ§ીāŠ°āŠ āŠ āŠĻે āŠૂāŠēો āŠļ્āŠĩીāŠાāŠ°āŠĩાāŠĻી āŠĩૃāŠĪ્āŠĪિ (Failure Resilience)
āŠ°ોāŠŽોāŠિāŠ્āŠļāŠŪાં āŠŠāŠđેāŠēી āŠ āŠĩાāŠ°āŠŪાં āŠોāŠĄ āŠļાāŠો āŠŠāŠĄી āŠāŠĪો āŠĻāŠĨી. āŠĩાāŠŊāŠ°ો āŠēૂāŠ āŠđોāŠ āŠķāŠે, āŠļેāŠĻ્āŠļāŠ° āŠŽāŠāŠĄી āŠķāŠે āŠ āŠĨāŠĩા āŠોāŠĄāŠŪાં āŠļેāŠŪિāŠોāŠēāŠĻ (
;) āŠ°āŠđી āŠāŠŊું āŠđોāŠ āŠķāŠે.āŠĩાāŠēીāŠāŠ āŠŽાāŠģāŠāŠĻે āŠļāŠŪāŠાāŠĩāŠĩું āŠોāŠāŠ āŠે āŠોāŠĄāŠŪાં āŠāŠĩāŠĪી 'Error' āŠ āŠĻિāŠ·્āŠŦāŠģāŠĪા āŠĻāŠĨી, āŠŠāŠ°ંāŠĪુ āŠķીāŠāŠĩાāŠĻી āŠĪāŠ (Debugging) āŠે. āŠāŠĻાāŠĨી āŠŽાāŠģāŠāŠŪાં āŠĩાāŠļ્āŠĪāŠĩિāŠ āŠીāŠĩāŠĻāŠĻી āŠŪુāŠķ્āŠેāŠēીāŠ āŠļાāŠŪે āŠēāŠĄāŠĩાāŠĻી āŠ્āŠ·āŠŪāŠĪા (Resilience) āŠĩāŠ§āŠķે.
āŦŠ. āŠેāŠĻ્āŠĄāŠ° āŠĻ્āŠŊુāŠ્āŠ°ાāŠēિāŠી (Gender Neutrality in STEM)
āŠļાāŠŪાāŠĻ્āŠŊ āŠ°ીāŠĪે āŠļāŠŪાāŠāŠŪાં āŠāŠĩી āŠŪાāŠĻ્āŠŊāŠĪા āŠđોāŠŊ āŠે āŠે āŠŪિāŠેāŠĻિāŠ્āŠļ, āŠĩાāŠŊāŠ°ીંāŠ āŠ āŠĻે āŠ°ોāŠŽોāŠ્āŠļ āŠŪાāŠĪ્āŠ° āŠોāŠāаાāŠ āŠŪાāŠેāŠĻા āŠĩિāŠ·āŠŊો āŠે, āŠ્āŠŊાāŠ°ે āŠોāŠāаીāŠāŠĻે āŠāа્āŠ્āŠļ āŠે āŠŽાāŠŊોāŠēોāŠી āŠĪāŠ°āŠŦ āŠĩાāŠģāŠĩાāŠŪાં āŠāŠĩે āŠે. NEP 2020 āŠ āŠેāŠĶāŠાāŠĩāŠĻે āŠĻāŠાāŠ°ે āŠે.
āŠĩાāŠēીāŠāŠ āŠĶીāŠāаીāŠāŠĻે āŠŠāŠĢ āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠ āŠĻે āŠોāŠĄિંāŠāŠŪાં āŠļāŠŪાāŠĻ āŠĪāŠો āŠāŠŠāŠĩી āŠોāŠāŠ. āŠāŠāŠĻા āŠļāŠŪāŠŊāŠŪાં āŠāа્āŠē્āŠļ āŠāŠĻ āŠļ્āŠેāŠŪ (Girls in STEM) āŠĩૈāŠķ્āŠĩિāŠ āŠļ્āŠĪāŠ°ે āŠŪોāŠāаે āŠે.
āŠાāŠ āŦŠ: NEP 2020 āŠ āŠĻે āŠૌāŠķāŠē્āŠŊ āŠĩિāŠાāŠļāŠĻું āŠĶીāŠ°્āŠāŠાāŠēીāŠĻ āŠĩિāŠāŠĻ (Conclusion)
āŠ°ાāŠ·્āŠ્āŠ°ીāŠŊ āŠķિāŠ્āŠ·āŠĢ āŠĻીāŠĪિ āŦĻāŦĶāŦĻāŦĶ āŠļ્āŠŠāŠ·્āŠāŠŠāŠĢે āŠāŠđે āŠે āŠે āŠāŠĩāŠĻાāŠ°ા āŠļāŠŪāŠŊāŠŪાં āŠ°ોāŠāŠાāŠ°ીāŠĻી āŠĪāŠો āŠŽāŠĶāŠēાāŠĩાāŠĻી āŠે. āŠĄેāŠા āŠļાāŠŊāŠĻ્āŠļ, āŠāŠĻ્āŠāаāŠĻેāŠ āŠāŠŦ āŠĨિંāŠ્āŠļ (IoT), āŠŪāŠķીāŠĻ āŠēāŠ°્āŠĻિંāŠ āŠ āŠĻે āŠāŠĄāŠĩાāŠĻ્āŠļ āŠ°ોāŠŽોāŠિāŠ્āŠļ āŠેāŠĩા āŠ્āŠ·ેāŠĪ્āŠ°ો āŠ āŠ°્āŠĨāŠĪંāŠĪ્āŠ°āŠĻા āŠŪુāŠ્āŠŊ āŠાāŠēāŠ āŠŽāŠģો āŠŽāŠĻāŠķે.
āŠķાāŠģાāŠĻું āŠ્āŠ°āŠļ્āŠ āŠŪંāŠĄāŠģ āŠāЧુāŠĻિāŠ āŠāŠĻ્āŠŦ્āŠ°ાāŠļ્āŠ્āŠ°āŠ્āŠāа āŠ āŠĻે āŠķિāŠ્āŠ·āŠોāŠĻી āŠŦોāŠ āŠļાāŠĨે āŠļāŠ્āŠ āŠĨāŠķે, āŠ āŠĻે āŠĩાāŠēીāŠ āŠŠોāŠĪાāŠĻા āŠŠāŠ°ંāŠŠāŠ°ાāŠāŠĪ āŠŠૂāŠ°્āŠĩāŠ્āŠ°āŠđો āŠોāŠĄીāŠĻે āŠŽાāŠģāŠોāŠĻા āŠ āŠĄિāŠિāŠāŠē āŠļાāŠđāŠļāŠŪાં āŠાāŠીāŠĶાāŠ° āŠŽāŠĻāŠķે, āŠĪ્āŠŊાāŠ°ે āŠ āŠļાāŠા āŠ āŠ°્āŠĨāŠŪાં āŠાāŠ°āŠĪીāŠŊ āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨી āŠĩૈāŠķ્āŠĩિāŠ āŠļ્āŠĪāŠ°ે āŠļ્āŠŠāŠ°્āŠ§ા āŠāаી āŠķāŠāŠķે.
āŠ āŦĐ-āŠļ્āŠĪāŠ°ીāŠŊ āŠ āŠ્āŠŊાāŠļāŠ્āŠ°āŠŪ (āŠ્āŠ°ેāŠĄ āŦĐ āŠĨી āŦŪ) āŠŪાāŠĪ્āŠ° āŠĩિāŠĶ્āŠŊાāŠ°્āŠĨીāŠāŠĻે āŠĄિāŠિāŠāŠē āŠļાāŠ્āŠ·āŠ° āŠĻāŠĨી āŠŽāŠĻાāŠĩāŠĪો, āŠŠāŠ°ંāŠĪુ āŠĪેāŠŪāŠĻે āŠāŠĩિāŠ·્āŠŊāŠĻા "āŠāŠĻોāŠĩેāŠāа્āŠļ āŠ āŠĻે āŠ્āŠ°ીāŠāŠāа્āŠļ" āŠŽāŠĻાāŠĩે āŠે, āŠે āŠŪાāŠĪ્āŠ° āŠેāŠāŠĻોāŠēોāŠીāŠĻો āŠāŠŠāŠŊોāŠ āŠĻāŠĨી āŠāаāŠĪા āŠŠāŠ°ંāŠĪુ āŠĻāŠĩી āŠેāŠāŠĻોāŠēોāŠીāŠĻું āŠļāŠ°્āŠāŠĻ āŠāаāŠĩાāŠĻી āŠ્āŠ·āŠŪāŠĪા āŠ§āŠ°ાāŠĩે āŠે. āŠķાāŠģા āŠ āŠĻે āŠāа āŠĩāŠ્āŠેāŠĻું āŠ āŠļંāŠāŠŪ āŠ āŠાāŠ°āŠĪāŠĻા āŠķિāŠ્āŠ·āŠĢāŠĻા āŠĻāŠĩા āŠļૂāŠ°્āŠŊોāŠĶāŠŊāŠĻી āŠķāŠ°ૂāŠāŠĪ āŠે.
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