Interactive Software Tools:

The computer book for class 2 uses Tux Paint, PictoBlox Jr. blocks, and Quarky, engaging students with interactive software and hands-on robotics activities. This approach makes learning more dynamic and enjoyable for kids.

Comprehensive Learning: 

The class 2 coding book offers 18 lab activities and 18 classroom learning sessions, providing a balanced mix of practical and theoretical knowledge.

Focus on Modern Technologies:

The class 2 CBSE curriculum emphasizes computers, horizontal block coding, Artificial Intelligence, and Robotics, preparing students for the ever-evolving technological landscape.

Digital Certification:

Students must submit 5 lab activities online to earn a digital certificate accredited by STEMpedia, STEM.org and ARTPARK. This process encourages practical learning and acknowledges their achievements.

Rich Educational Content: 

Lesson plans and lecture slides include a mix of textual, imagery, and video-based content. This class 2 computer book diversity caters to different learning styles and enhances overall understanding.​

Table of Contents

Know Your Computer: Understand what a computer is, its parts, types, and uses, compare humans vs. computers, and lab activities related to computer parts, keyboard, and mouse.

Fun with Paint: Introduction to TUX Paint, its parts, using designer tools in TUX Paint, and lab activities, including coloring and drawing.

Critical Thinking and Analysis: Develop decision-making skills, understand patterns and loops, and learn about decoding and sequencing.

Into the World of Coding: Introduction to PictoBlox Jr. blocks, grasp creative thinking and understand algorithms, lab activities on creating codes, stories, and movements in PictoBlox.

Into the Robotics: Learn about robots and their capabilities, Introduction to Quarky and its functionalities, and lab activities, such as traffic light simulation and robot movements.

Into the AI: Understand what intelligence is and lab activities on face filters and balloon popping with hand detection using AI features.