The rise in Artificial Intelligence in education in India

 The utilization and approval of artificial intelligence (AI) among K-12 students and teachers in the United States have experienced a significant increase in the past year, according to a recent poll conducted by Impact Research for the Walton Family Foundation.

1. Rapid Adoption: Approximately half of U.S. teachers and K-12 students now use ChatGPT, a generative AI chatbot from Microsoft-backed OpenAI, on a weekly basis. This represents a significant surge in adoption rates, with less than 20% of students reporting never using generative AI.

2. Teacher Familiarity: The percentage of teachers familiar with ChatGPT increased from 55% to 79% in just over a year, while among K-12 students, it rose from 37% to 75%.

3. Student Views: Students' views towards AI chatbots are predominantly positive, with 70% of K-12 students and 75% of undergraduates expressing favorable opinions. Among parents, 68% held positive views.

4. Teacher Training: Despite the rapid adoption, only 25% of teachers reported receiving any training on AI chatbots, and roughly one-third (32%) cited lack of training and professional development as major reasons for not using AI.

5. Equity in Adoption: The data indicates that AI usage in education shows significant equity, with minority groups adopting AI at higher rates. Parents, particularly Black and Hispanic parents, expressed greater support for AI use in schools.

6. Concerns and Challenges: Despite the positive reception, concerns about AI's impact on cheating remain. Nearly 20% of teachers reported negative effects, and students are most likely to have used AI chatbots for writing essays and other assignments (56%). New monitoring systems will present their own challenges, and students will likely find new ways to circumvent checks.

7. Long-Term Impact: Ethan Mollick, a professor at the University of Pennsylvania's Wharton School and an expert on AI, noted that these results were relatively high compared to past polling related to the introduction of new technology. However, he cautioned against rushing into AI implementation without considering potential challenges, such as accuracy and the impact on in-class lectures.