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Programme Overview
Artificial Intelligence is rapidly transforming higher education by redefining how educators teach, conduct research, assess students, and develop academic content. While AI offers unprecedented opportunities to improve productivity and learning outcomes, it also introduces challenges related to academic integrity, responsible use, data privacy, and ethical decision-making.
This workshop is designed to equip faculty members, researchers, doctoral scholars, and academic administrators with practical knowledge and hands-on experience in integrating AI responsibly into teaching, research, assessment, and institutional workflows.
Participants will learn how to leverage Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI-assisted research methodologies, and AI-powered educational tools while adhering to ethical and responsible AI practices.
Programme Objectives:
Understand the fundamentals of Artificial Intelligence, Generative AI, Agentic AI, and Large Language Models.
Design effective prompts for academic and research tasks.
Use AI for academic writing while maintaining research integrity.
Develop AI-assisted teaching materials and assessments.
Create interactive learning experiences using AI.
Understand AI governance, ethics, copyright, plagiarism, and institutional policies.
Build personalized AI assistants for teaching and research.
Programme Contents :
Module 1: Introduction to AI in Teaching
Evolution of Artificial Intelligence
Generative AI vs. Traditional AI
Understanding Large Language Models (LLMs)
Agentic AI
AI Ecosystem in Education
Current AI Trends
Responsible AI Principles
Module 2: Prompt Engineering for Research and Teaching
Prompt Engineering Frameworks
Chain-of-Thought Prompting
Few-shot Prompting
Role Prompting
Structured Prompt Design
AI Reasoning Techniques
Module 3: AI-Based Assessment
Automated Question Paper Generation
AI-based Evaluation
Feedback Generation
Rubric Creation
Bloom's Taxonomy Mapping
Higher-order Question Design
Module 4: AI for Research
AI-assisted literature search
Research gap identification
Theme extraction
Topic Modelling
Citation Mapping
PRISMA using AI
Module 5: AI Ethics, Governance and Academic Integrity
Responsible AI
Data Privacy
AI Hallucinations
Copyright and Fair Use
AI Detection
Academic Misconduct
Institutional AI Policy
Journal Guidelines
Recommendations on AI
Learning Outcomes
Conduct AI-assisted research.
Write high-quality academic papers using AI responsibly.
Improve research productivity.
Create AI-powered assessments.
Integrate AI into classroom teaching.
Apply ethical AI principles.
Expected Outcomes for Institutions
Enhanced faculty capability in AI-enabled teaching and research.
Improved research quality and publication productivity.
More efficient curriculum design and assessment practices.
Increased awareness of responsible AI use and academic integrity.
A foundation for institution-wide AI adoption strategies.
Prof. Anuja leads Management and AI education with over 11 years of academic and 3 years of industry experience in teaching, research and training. She specializes in leveraging AI tools for impactful teaching and research. She has trained over 300+ teachers and 5,000+ students on AI and research software: Python, R studio, SPSS, SmartPLS, Vos Viewer, Biblioshiny, Venzim.
She is a renowned Global speaker at the United Nations on Responsible AI (Switzerland 2024), a Konrad-Adenauer-Stiftung (KAS, Germany) panelist on AI (Manilla summit 2025), and has contributed to discussions on Deepfakes and policy building (Tokyo summit 2026).
She has conducted MDPs for government bodies such as HPCL, People Pvt Ltd, and Sultan Chand Publication. She is engaged with the Centre for Joint Warfare Studies (CENJOWS), Ministry of Defence, in documenting Defence reforms.35 top executives have completed the DBA programme under her supervision at Swiss School of Business Management, Switzerland. She has designed and delivered content and online sessions for edTech platforms including Emeritus, Great Learning, Big Academy, upGrad and SSBM.
She holds global teaching experience at international universities including University of Massachusetts (USA), Asian Institute of Management (Philippines), Deakin University (Australia), Liverpool John Moores University (UK), and Golden Gate University (USA).
Dr. Shukla holds a Ph.D. in Management, M.Phil, MBA, M.A. (Economics), UGC-NET, and B.Sc. (Statistics). She has over 30 research publications, 1 book, and 12 book chapters to her credit. Her research has appeared in leading journals, and she has received Best Research Paper Awards at prestigious institutions such as FMS, Symbiosis, and Amity
For more information, please contact: Mr. Puneet Garg at +91-98108 75278 / +91-11-41242477 or email us at exed@fsm.ac.in.
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Executive Education/MDPs
FORE School of Management has been designing, developing and conducting innovative Executive Education (EE)/ Management Development Programmes (MDPs) for working executives in India for over three decades.
