What AI can do in the academic?
- Planning → Delivery → Assessment → Feedback → Continuous Improvement
Gen AI
- Generative AI (LLMs, Image Diffusion, Video Creations, etc)
- Generates content. (Taking inputs as prompts)
Tools
- ChatGPT (OpenAI)
- Best for creative collaboration, brainstorming, and generating diverse content variations
- Strong at role-play prompting, scenario building, and iterative idea development
- Useful for drafting student-facing content, discussion prompts, and case studies
- Gemini (Google)
- Best for processing and synthesizing large volumes of text and documents
- Strong at summarizing research papers, course materials, and lengthy academic content
- Integrates well with Google Workspace — Docs, Slides, and Drive
- Claude (Anthropic)
- Best for structured, high-quality academic writing and long-form content
- Strong at maintaining tone consistency, following complex instructions, and nuanced drafting
- Creates pixel-perfect format. (when template is given)
- Ideal for lecture notes, rubric design, and detailed assessment content
- Perplexity AI
- Best for real-time research, source-cited answers, and literature discovery
- Strong at pulling current, referenced information — useful for syllabus building and topic exploration
- Reduces hallucination risk by grounding responses in cited web sources
Tools Cost
- ChatGPT (OpenAI)
- Free version works for this workshop
- Paid: ₹399/month — solid value for regular use
- Gemini (Google)
- Free plan is generous and recommended
- Paid tier available via Google One — not necessary to start
- Do you have Jio SIM?
- Claude (Anthropic)
- Free version is sufficient — session limits apply
- Paid: ₹2,000/month — worth it for daily academic writing
- Perplexity AI
- Free version is more than enough
- No upgrade needed for teaching workflows
Prompt Engineering
- The skill of crafting precise instructions to get accurate, useful output from an AI model
- Input quality determines output quality — garbage in, garbage out