AI-Enabled Teaching and Learning: A Practical Framework for Humanities Educators

AI-Enabled Teaching and Learning: A Practical Framework for Humanities Educators

₹424.00

Last date of registration – 10th June, 2026

289 in stock

SKU: Date of workshop - 13th June, 2026 Categories: , ,

Description of the workshop

This 2-hour professional development workshop is designed for school teachers in English, History, and allied Humanities disciplines. It equips educators with a critical, hands-on understanding of how Artificial Intelligence tools can be meaningfully integrated into classroom pedagogy — without replacing the deep interpretive, analytical, and ethical thinking that defines Humanities education. The workshop addresses four interlocking pillars. 

  1. Pedagogy (redesigning lesson plans and assessments with AI support)
  2. Cognition (understanding how AI shapes student thinking and learning habits)
  3. Ethics (navigating academic integrity, bias, and responsible use), and 
  4. Privacy (safeguarding student data and institutional responsibilities). 

Teachers will leave with a practical toolkit and a reflective framework they can immediately apply in their classrooms.

Profile of the Instructor

Merin Simi Raj (PhD, IIT Bombay) is an Associate Professor of English & Memory Studies in the Department of Humanities and Social Sciences, IIT Madras. She is the faculty coordinator of the Centre for Memory Studies and the co-founder of  the Indian Network for Memory Studies (INMS) https://www.indiannetworkformemorystudies.com, the first national network in Asia under the aegis of the international Memory Studies Association (MSA).  She is trained in Digital Humanities at the University of Oxford. Her research on the Anglo-Indian community in India was developed into MemoryBytes (2022), an AR-based interactive app https://www.memorystudiesiitmadras.com/memorybytes. She co-edited the volumes Anglo-Indian Identity: Past and Present, in India and the Diaspora (Palgrave Macmillan, 2021 https://link.springer.com/book/10.1007/978-3-030-64458-1) and Memory Studies in India: Texts and Contexts (Brill 2025 https://brill.com/display/title/71007).

Modules of the workshop

Module name Concepts covered Learning outcomes
Module 1: Understanding AI — What It Is and What It Is Not What is generative AI? How do LLMs work (plain-language explanation)
Key tools: ChatGPT, Gemini, Claude — similarities and differences
The 'hallucination' problem and its implications for factual subjects like History
Demystifying AI: separating hype from classroom-relevant reality		 Participants can explain how AI tools work to students and colleagues without technical jargon
Module 2: AI and Pedagogy --Redesigning the Humanities Classroom Using AI for lesson planning: generating first drafts, scaffolding activities, differentiating instruction
AI for text annotation, comprehension question generation, and reading guides (English)
AI for timeline generation, source analysis prompts, and counterfactual discussion starters (History)
The role of the teacher as curator, not just content-deliverer
Hands-on: participants redesign one lesson using an AI tool		 Participants produce an AI-assisted lesson plan and articulate how it changes their pedagogical role
Module 3: Cognition, Assessment, and Learning How AI affects student cognition: cognitive offloading, shallow vs. deep processing
The writing process and AI- what is lost when students stop struggling with words?
Rethinking assessment- assignments that AI cannot meaningfully complete — oral tasks, local inquiry, personal narrative, debate
AI as a revision tool vs. AI as a ghostwriter — teaching students the difference
Case study- comparing student essays written with and without AI assistance		 Participants can identify AI-vulnerable assessment formats and design cognitively robust alternatives
Module 4: Ethics, Privacy, and the Responsible Classroom Academic integrity in the age of AI- what is plagiarism now? Building an institutional position
Bias in AI - how English and History content reflects dominant voices — exercises in spotting and challenging AI bias
Student data privacy -what happens when students use AI tools? Consent, age restrictions, and platform risks
Equity concerns -access gaps between students, schools, and regions		 Participants can articulate an ethical framework for AI use in their school and communicate it to students and parents

Drafting a classroom AI use policy

Fee for the Workshop

Registration Fee: Rs. 500 (including GST)

Session Details

Dates of the Workshop : 13th June, 2026

Mode of the Workshop : Online

Timings of the Session (IST) :  5:00 pm to 7:00 pm 

Intended Audience

Practising school teachers (Grades 6–12) in English Language and Literature, History, Social Studies, Civics, and related Humanities subjects. The workshop is also open to teacher educators, curriculum designers, and school academic coordinators.

Certification Criteria

Attendance is mandatory for the certification

Reviews

There are no reviews yet.

Be the first to review “AI-Enabled Teaching and Learning: A Practical Framework for Humanities Educators”