In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
18. Artificial intelligence learns by
analyzing data, or information.
The more data you feed to an AI, the
more accurate it can become at
completing a task.
EXPLAIN
36. AI integration in the classroom:
Revolutionising teaching methodologies
1. Enhanced Personalization and Individualized Learning
2. Intelligent Tutoring and Assessment Systems
3. Enhanced Collaboration
4. Streamlining Administrative Tasks
5. Virtual Classrooms
6. Prepares Students for the Future
7. Evaluate, Iterate, and Build
37. 10 Guiding Questions for Educators
1. What are your educational goals and how can AI support them?
2. What are the ethical considerations associated with AI in education?
3. How can AI enhance personalized learning experiences?
4. What training and professional development opportunities are available for
educators?
5. What role does human interaction play in an AI-integrated classroom?
6. How can AI promote inclusive education?
7. What are the potential limitations and challenges of AI in education?
8. How can AI foster creativity and critical thinking skills?
9. What is the role of AI in lifelong learning?
10. How can AI ensure data privacy and security?
40. Prompt Engineering Examples for Classroom
Can you suggest 3 engaging
activities for 6th grade
students on Banking
41. Prompt Engineering Examples for Classroom
Can you create a group project
ideas for 10th grade students
on Social media and it should
help to learn data privacy
50. How could generative AI be harmful to society?
● Misinformation: It could be used to create fake articles, videos, or
images that are convincing and can be shared easily.
● Plagiarism and copyright issues: It might have learned using data
without permission, or it might not give credit to its sources.
● Bias: It might be trained on biased or incomplete information.
● Other harms: Impersonation, cyberbullying, privacy threats, etc.
REFLECT
52. REFLECT
How could generative AI be helpful to society?
● Efficiency: People could use it to be more productive in their jobs
(data entry, writing, analyzing information, etc.)
● Creativity: Could produce high-quality creative content, including
art, music, and writing.
● Learning: It can help people learn new skills.
● Other helpful contributions?
54. The Future of AI
● Continued advancements in algorithms and computational power.
● Wider adoption across various industries.
● Shaping the future of creativity, innovation, and problem-solving.