Workshop on Claude AI for Academic and Research Activities
Turn Claude into a classroom simulator and a research co‑thinker. Build interactive teaching tools without code, sharpen literature reviews and stress‑test your research design, all with academic integrity intact.
Beyond generic chatbot queries
This masterclass positions Claude as an active pedagogical simulator and a high‑level research co‑thinker, not a text generator.
You’ll see how Claude’s live Artifacts let you build interactive classroom tools and simulations without writing a single line of code. In parallel, we’ll explore advanced research workflows: using Claude’s careful reasoning and long context to synthesise literature, pressure‑test methodology against tough peer‑review standards and draft scholarly proposals.
Throughout, we’ll set clear boundaries for safeguarding unpublished data, thesis work and ethical attribution, so you can use AI confidently and responsibly.
Why Claude matters for teaching and research
Claude is built for careful, long‑form thinking, which makes it a natural fit for academic work where nuance, evidence and honesty matter.
From explaining to simulating
- Interactive tools in minutes
Describe a simulator, quiz or decision tree in plain English and Claude builds a working browser tool you can share with students.
- Socratic questioning, not shortcuts
With the right instructions, Claude asks guiding questions instead of handing over answers, so students do the thinking.
- Course materials that stay in context
Keep your syllabus, rubrics and readings together in a Claude Project so every chat starts from your own course.
A rigorous co‑thinker
- Read many papers at once
Claude’s long context lets you work across several full papers in one conversation to compare findings and spot contradictions.
- A tough simulated reviewer
Ask Claude to critique sampling, assumptions and hypothesis framing the way a demanding referee would, before submission.
- Clearer scholarly writing
Get structured feedback on proposals and drafts while the ideas, arguments and authorship remain yours.
Handles subtle arguments, competing theories and grey areas well.
Designed to flag uncertainty, which matters when accuracy counts.
Works with theses, reports and multiple PDFs in a single session.
Artifacts turn descriptions into working, shareable web tools.
What you’ll be able to do
Five practical capabilities you can use in your classroom and lab the very next day.
Deploy zero‑code learning artifacts
Build browser‑based simulators, decision trees and concept demonstrators inside Claude without programming.
Engineer Socratic learning engines
Write system prompts that guide students through iterative inquiry instead of short‑circuiting learning.
Deepen literature reviews and gap analysis
Synthesise multi‑source papers to find conceptual tensions, contradictions and under‑researched gaps.
Stress‑test research designs
Use Claude as a simulated critical reviewer to pressure‑test methodological assumptions, sample limitations and hypothesis framing.
Uphold academic integrity and IP boundaries
Set clear guidelines for data privacy, protecting unreleased lab and thesis work, and ethical attribution.
Session flow
Ninety minutes, mostly live demonstrations you can follow along with.
Welcome and orientation
Where Claude fits in academic work, and setting up your workspace.
Building learning artifacts live
Create a simulator and a decision tree from a plain‑language description.
Designing a Socratic tutor
Write and test instructions that make Claude question rather than answer.
Literature synthesis and gap analysis
Compare several papers side by side and map where the field disagrees.
Claude as critical reviewer
Pressure‑test a research design and a draft proposal.
Integrity, privacy and attribution
Practical rules for unpublished data, theses and disclosure of AI use.
Q&A and wrap‑up
Your questions, next steps and certificate details.
Timings are indicative and may shift slightly during the live session.
Who should attend
Anyone who teaches, designs courses or conducts research in higher education. No coding or prior AI experience needed.
What you get
- E‑certificate of participation
- Full session recording to revisit at your pace
- Live Q&A with the trainer
- Live demos of classroom and research workflows
Aiswarya Unnikrishnan
Academic Trainer – Technical, A2Z EduScaleUp India Pvt. Ltd.
Aiswarya is a Google Certified Trainer and educator who helps faculty and researchers bring practical, responsible AI into their teaching and scholarly work. Her sessions focus on hands‑on workflows participants can apply immediately.
Reserve your seat
Choose the option that matches where you’re paying from.
Indian participants
Pay in Indian rupees
- Live 90‑minute masterclass
- E‑certificate
- Session recording
International participants
Pay in US dollars
- Live 90‑minute masterclass
- E‑certificate
- Session recording
Questions, answered
Do I need coding skills?
No. Everything is demonstrated with plain‑language instructions. Artifacts are built by describing what you want.
Do I need a paid Claude plan?
A free Claude account at claude.ai is enough to follow most of the session. Some features may have usage limits on the free plan.
What time is the session in my country?
It runs 7:00–8:30 PM India Standard Time (UTC+5:30) on 20 November 2026. That’s 1:30 PM UTC, 2:30 PM in London and 8:30 AM in New York.
How will I join?
Joining details are shared with registered participants by email before the session.
When will I receive the certificate and recording?
Both are shared with registered participants after the session.
Teach and research smarter with Claude
20 November 2026 · 7:00 PM IST · Live online. Seats are limited, so register early.
Hosted by A2Z EduLearningHub. Claude is a product of Anthropic; this is an independent training workshop.