These days, AI in Education permeates every aspect of learning. It can be used to track student progress, tailor lectures, and even simplify administrative duties. That sounds fantastic! However, one of the AI Challenge in education remains that AI handles a lot of private student data. Inappropriate handling of that
Artificial Intelligence (AI) has become a buzzword in the education sector. From adaptive learning platforms that personalise learning content to AI-driven tools that automate grading, AI promises increased efficiency, inclusivity, and personalised learning experiences. But every coin has two sides. It’s just as important to pause and analyse the flip
Key Takeaways Ethical AI in education rests on six pillars: fairness, transparency, inclusivity, privacy, accountability, and academic integrity. A teacher’s role remains central. AI should support, not replace, human judgment and the student-teacher connection. AI in education is already flourishing in India. Teachers can personalise learning, automate assessments, and gain
The rising tide of AI has infiltrated almost every industry, and the education sector is not far behind. From lesson planning to personalised assessments, over 61% of educators across the country are now embracing AI tools to streamline their work and elevate the learning experience. But here’s the catch: while
Academic integrity has always been a major concern in education, especially with the rise of online learning and easy access to information. But now, AI is stepping in to help. From detecting plagiarism to monitoring online exams, AI tools are making it easier for educators to keep things fair and
Key Takeaways Sudden changes in writing style are often the strongest red flags Perfect writing can sometimes be more suspicious than imperfect work Preventing AI misuse is more effective than catching it later AI should be positioned as a learning aid, not a shortcut AI detection works best when tools
