Event Name: Faculty Development Programme (FDP) on AI for Academicians	Event Date: 23th- 27th June 2025
Faculty Coordinators:Dr. Saumendra Mohanty, Prof. Mohit Agrawal, Dr. Neetu Kamra, Ms.Neha Issar, Dr. Fehmina Khalique	Organizing InstituteLloyd Business School
Number of Participants: 25	Mode: Online

Objectives:

The Faculty Development Program was organized with the following objectives:

• To familiarize educators with Artificial Intelligence and Generative AI concepts.
• To enable faculty members to integrate AI tools into academic teaching practices.
• To enhance classroom engagement through AI-driven projects and case development.
• To strengthen pedagogical innovation using technology-enabled learning methods.
• To develop faculty competence in designing AI-supported assessments and assignments.
• To bridge the gap between traditional teaching methods and AI-enabled education.

Detailed Report

Day 1: Introduction to AI and Generative AI in Education

The first day of the FDP focused on introducing participants to the fundamentals of Artificial Intelligence and Generative AI. The session highlighted the evolution of AI and its growing importance in academic environments.

Key areas discussed included:

• Basics of AI and Generative AI.
• Role of AI in modern education.
• Opportunities and challenges of AI adoption in teaching.

The session provided a strong conceptual foundation for the program.

Day 2: AI Tools for Classroom Teaching and Engagement

The second day emphasized the use of AI tools to enhance classroom engagement. Faculty members were introduced to practical applications of AI for content creation and student interaction.

Major topics covered were:

• AI-powered teaching aids.
• Designing interactive lectures using AI tools.
• Enhancing student participation through AI-driven methods.

Participants gained insights into improving teaching effectiveness using AI.

Day 3: AI Integration in Academic Projects and Case Development

The third day focused on applying AI and Generative AI in academic projects and case study development.

Key discussions included:

• Developing real-world case studies using AI.
• Using Generative AI for project ideation and structuring.
• Ensuring originality and ethical use of AI in academics.

The session helped participants connect AI applications with academic outcomes.

Day 4: Assessment Design and Ethical Use of AI

The fourth day emphasized assessment design and ethical considerations while using AI in education.

Topics discussed included:

• Designing AI-supported assignments and evaluations.
• Academic integrity and responsible AI usage.
• Addressing ethical challenges in AI-enabled teaching.

The session reinforced the importance of responsible AI integration.

Day 5: Best Practices, Future Scope, and Implementation Strategy

The final day focused on best practices and future opportunities of AI in academic teaching.

Key areas covered were:

• Best practices for implementing AI in classrooms.
• Future trends of AI and Generative AI in education.
• Action planning for integrating AI into teaching methodology.

The program concluded with reflections on continuous learning and innovation in teaching.

Learning Outcomes

After attending the Faculty Development Program, participants were able to:

• Understand the fundamentals of AI and Generative AI.
• Integrate AI tools into classroom teaching and learning activities.
• Design AI-enabled projects, case studies, and assessments.
• Apply ethical and responsible practices while using AI in academics.
• Enhance teaching effectiveness through technology-driven pedagogy.
• Prepare for future advancements in AI-based education systems.