Brief Overview of the Programme
The Intelligent Educator: Mastering AI for Teaching, Research & Academic Excellence is a premium one-day Executive Faculty Development Programme designed to empower educators with practical, hands-on experience in leveraging Artificial Intelligence to transform higher education.
The programme focuses on integrating AI into teaching, research, assessment, academic writing, and institutional productivity while promoting the ethical and responsible use of AI.
Through live demonstrations, interactive exercises, and real-world applications, participants will gain the confidence to incorporate AI tools into their everyday academic practice, making teaching more engaging, research more efficient, and administrative tasks more productive.
By the End of the Programme, Participants Will Be Able To:
- Design AI-assisted lesson plans and engaging classroom activities.
- Create presentations, quizzes, assessments, and teaching resources in minutes.
- Use leading AI platforms such as ChatGPT, Claude, NotebookLM, MagicSchool AI, Perplexity, and Grammarly for academic applications.
- Summarize research papers, conduct literature reviews, and improve academic writing using AI.
- Build efficient AI-powered workflows to automate routine teaching, research, and administrative tasks.
- Apply AI responsibly while understanding ethical considerations and academic integrity.
- Integrate AI tools confidently into classroom teaching, research supervision, and institutional practices.
- Enhance productivity, save significant preparation time, and become future-ready educators.
Date & Time : 07/08/2026: 10.00 AM to 03.30 PM
Prof. Rincy Raju, Assistant Professor, TKM Institute of Management
Rincy Raju is an accomplished academician with over seven years of experience in higher education, finance, human resource management, and occupational wellness. She is currently pursuing her doctoral research at the Indian Maritime University, with research expertise in organizational well-being, sustainable finance, maritime safety culture, and employee engagement.
She has completed executive and professional programmes from globally renowned institutions, including Harvard University, Stanford University, the University of Oxford, London School of Economics (LSE), Massachusetts Institute of Technology (MIT), Wharton School (University of Pennsylvania), University of Geneva, University of London, Queen Mary University of London, the University of Michigan, IIM Ahmedabad, and Google AI.
An active researcher and speaker, she has presented research at national and international conferences, including the International Association of Maritime Universities (IAMU), and has extensive experience in faculty development, academic leadership, AI integration and curriculum development.
Target Audience:
This programme is ideal for:
- Educators seeking to integrate Artificial Intelligence into teaching, research, assessment, and academic administration.
- Faculty Members of Higher Education Institutions
- University and College Teachers
- Professors and Assistant Professors
- Research Scholars and Doctoral Candidates
- Academic Administrators
- IQAC Coordinators
- Curriculum Designers
- Academic Leaders and Department Heads
Methodology:
- The programme follows an experiential, hands-on learning approach, combining expert instruction with practical application. Participants will engage in:
- Live demonstrations of leading AI platforms.
- Guided hands-on exercises using real academic scenarios.
- Interactive discussions and collaborative learning activities.
- Prompt engineering workshops tailored for educators.
- Individual and group activities.
- Practical applications in lesson planning, assessment design, academic writing, research, and institutional productivity.
- Best practices on ethical, responsible, and effective AI adoption in higher education.
Participants will leave the programme with ready-to-use AI workflows, prompt templates, classroom resources, and practical strategies that can be implemented immediately within their teaching and research environments
Contact Details:
- Prof. Rincy Raju, Assistant Professor, TKMIM.
- +91 9400727882
- rincy..in