SCHOOL OF PROFESSIONAL ADVANCEMENT

AI for Teaching, Learning and Research

Objectives and Learning Outcomes (USP)                            
  • Equip participants with practical knowledge of AI applications in teaching, learning, and research.
  • Develop skills to use AI tools (ChatGPT, research databases, citation managers, content analysis tools, etc.) for academic writing and research productivity.
  • Enhance participants’ ability to critically analyze the ethical and responsible use of AI in education and research.
  • Provide hands-on training for AI in personalized teaching, automated assessments, and content creation.
  • Empower educators and researchers to integrate AI in their workflows for efficiency, innovation, and impact.

 Key Topics / Related Concepts
  • Fundamentals of Artificial Intelligence and Machine Learning
  • AI tools for academic writing, referencing, and research productivity
  • Language models in education and research (e.g., ChatGPT, custom NLP models)
  • AI for data analysis, visualization, and interpretation
  • Politeness, bias, and ethical considerations in AI-generated content
  • Designing AI-supported teaching strategies
  • Future of AI in education and research innovation

Activities and Learning Strategies             
  • Interactive lectures and demos of AI tools
  • Hands-on workshops on research and teaching applications of AI
  • Group projects applying AI in real academic scenarios
  • Case studies on AI in higher education and research contexts
  • Reflective practice journals to deepen participants’ critical engagement with AI tools
  • Peer collaboration and discussions
  • Learning Duration: 8 weeks
  • Certificate Fee: Rs 20000
  • Session:
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Instructor

Mr. Farman is a researcher in Computational Linguistics with expertise in Natural Language Processing, AI-driven language models, and digital research tools. He has obtained certifications in AI and research technologies, with extensive training focused on integrating AI into teaching and research. His academic experience includes applying AI to language learning and designing computational approaches for linguistics. He brings both technical knowledge and pedagogical insight, making him well-positioned to train participants in AI applications for academia.

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