Published Paper Details:

This paper presents a structured framework for integrating Computational Thinking (CT) and AI Readiness into middle school biology classrooms (Classes 6-8). The Bio-CT-AI Framework is a three-phase pedagogical model: Phase 1--Computational Thinking through biology (Decomposition, Pattern Recognition, Abstraction, Algorithmic Thinking); Phase 2--AI-Assisted Inquiry using Google Lens and ChatGPT; and Phase 3--Reflection and Evaluation through comparison of AI outputs with textbook knowledge. Over five weeks, 328 students participated in batch-wise activities. Post-intervention data showed 82% proficiency in writing sequential steps (+48%), 88% in pattern recognition (+47%), and 79% able to explain AI bias (+67%). The framework is unplugged for Classes 6 and 7, with hands-on AI tools introduced in Class 8. Results demonstrate that AI readiness in schools should extend beyond tool usage to developing the thinking processes required to engage with AI meaningfully and ethically. The model offers a scalable, low-cost approach (INR0.61 per student) for preparing middle school learners for an AI-driven world.