Event Name: Faculty Development Programme (FDP) on AI in Research	Event Date: 26th- 30th May 2025
Faculty Coordinators: Dr. Saumendra Mohanty, Mr. Mohit Agrawal, Dr. Neetu Kamra & Dr. Fehmina Khalique	Organizing Institute Lloyd Business School
Number of Participants: 25	Mode:Online

Objectives:

The Faculty Development Programme was organized with the following objectives:

• To enhance understanding of modern research design frameworks.
• To apply AI-driven tools for data analysis and visualization.
• To build proficiency in statistical analysis and research modeling.
• To train participants in using tools such as Jamovi, Orange, Power BI, and IBM Cognos.
• To improve the quality of academic research and publication output.
• To provide hands-on exposure to industry-relevant datasets and tools.
• To strengthen research methodology skills through practical application.

Detailed Report

Day 1: Research Methodology Framework and Statistical Analysis

The first day of the FDP focused on introducing participants to research methodology frameworks and foundational statistical analysis. The session emphasized structuring research problems and applying appropriate analytical techniques.

Key areas covered included:

• Research design and framework development.
• Introduction to statistical analysis using Jamovi.
• Understanding data interpretation for academic research.

The session helped participants establish a strong research foundation.

Day 2: AI Tools and Publication Support using Orange

The second day focused on the application of AI tools in research with hands-on exposure to the Orange data mining tool.

Major topics discussed were:

• Scope and application of AI in research methodology.
• Data visualization and analysis using Orange.
• Using AI tools to support research publication and inference.

Participants gained practical insights into AI-enabled research processes.

Day 3: Predictive Modeling Techniques

The third day emphasized predictive modeling using Orange. The session covered advanced analytical techniques useful in research studies.

Key discussions included:

• Predictive modeling concepts and techniques.
• Model building and validation.
• Interpretation of predictive outputs for research decision-making.

The session strengthened participants’ analytical and modeling skills.

Day 4: Dashboarding and Data Visualization with Power BI

The fourth day focused on data visualization and dashboard development using Power BI.

Topics covered included:

• Creating interactive dashboards.
• Visual representation of research data.
• Communicating research findings effectively through visuals.

Participants learned to present complex data in a clear and impactful manner.

Day 5: IBM Cognos Reporting and Capstone Presentation

The final day focused on IBM Cognos reporting tools and integration of learning through a capstone approach.

Key areas included:

• Generating professional research reports using IBM Cognos.
• Integrating analytical outputs into structured reports.
• Capstone presentations demonstrating applied learning.
• Best practices for research reporting and dissemination.

The programme concluded with a summary of key learnings and future research applications.

Learning Outcomes

After completing the Faculty Development Programme, participants were able to:

• Understand and apply modern research methodology frameworks.
• Use AI-driven tools for data analysis and visualization.
• Perform statistical analysis using Jamovi and Orange.
• Develop predictive models for research applications.
• Create interactive dashboards using Power BI.
• Generate professional research reports using IBM Cognos.
• Enhance the quality and impact of academic research and publication.