Generative AI is rapidly emerging as a powerful assistant for educators and researchers, offering innovative ways to design courses, create content, and streamline research activities. This one-day offline workshop focuses on practical applications of Gen AI in teaching and research without delving into technical fundamentals.

1.      Develop lecture materials, quizzes, and case studies with AI assistance.

2.      Use Gen AI for literature review, summarization, and research gap identification.

3.      Apply AI tools for data analysis and coding support.

4.      Explore prompt engineering strategies for effective outputs.

The sessions are designed to be highly hands-on, with live demonstrations and guided practice using widely available AI platforms. The workshop will also highlight issues of academic integrity, responsible usage, and institutional expectations, ensuring that participants can confidently and ethically integrate AI into their professional practices.

By the end of the program, participants will walk away with ready-to-use strategies, prompts, and toolkits that can immediately enhance both teaching effectiveness and research productivity.

• Faculty members from any discipline.

• Research Scholars from any discipline 

1.      Gen AI for teaching (Lesson plan, course modules, quiz, evaluation, rubrics, non-academic activities and etc).

2.      Gen AI for research (Gap identification, literature summary, model development, theory identification, hypothesis argument creation variables or constructs identification, codes, data analysis and etc).

Dr. P Muragan is working as an Assistant Professor at the School of  Management Studies, University of Hyderabad (UoH), Hyderabad. He has complted his PhD from Anna University, Chennai, and worked with IIM Shillong, Australian Council for Educational Research, New Delhi, and National Institution of Technology, Tiruchirappalli.

He received the University of Hyderabad's Chancellor's award for his contributions to both teaching and research.

He has a passion for research, and he has been a resource for more than 290 workshops and FDP programs held at many universities and B-Schools in India.

His expertise lies in the areas of Multivariate Data Analysis Techniques, Mediation Analysis, Moderation Analysis, Structural Equation Modeling, and Item Response Theory. His papers have been published in SSCI, ABS, and ABDC-listed journals. He has developed online lecture videos for three of the courses offered through the Swayam platform. 

For more details visit:

https://sites.google.com/view/muruganpattusamy 

payment Link

•   The participants are requested to visit the following link to make the payment: https://payuoh.uohyd.ac.in/

• The detailed steps to be followed to make the payment are available in the above link:

 Registration

•   After fee payment on the above link, kindly register here:

 https://docs.google.com/forms/d/12rMEi2FLX4NrljYkZFFupA-GJlnMVHegFHQxSo6Wk50/edit 

•   The Registration should be completed on or before :