About the Workshop

The Two-Week Training-cum-Workshop on Empowering Management Education and Research through Generative AI and Statistical Insights is designed to equip educators, researchers, and professionals with modern AI-driven and statistical skills. The program blends theory with hands-on practice, covering applications of Generative AI in curriculum design, research writing, and decision-making, alongside advanced statistical methods for data analysis and forecasting. Participants will engage with real-world case studies, interactive demonstrations, and practical exercises to integrate these tools into teaching, research, and business problem-solving. Ideal for faculty, scholars, and industry professionals, the workshop aims to foster innovation, improve research quality, and enhance analytical capabilities in the management domain.

Objective

The primary objectives of this workshop are to:

• Provide a foundational understanding of Generative AI concepts and applications relevant to management.
• Equip participants with practical skills in using GenAI tools for teaching, curriculum development, and research.
• Enhance participants’ understanding of advanced statistical techniques for data analysis and interpretation.
• Foster collaboration and knowledge sharing among participants.
• Promote the ethical and responsible use of GenAI and statistical methods in management education and research.

Expected Outcome

Upon completion of this workshop, participants will be able to:

• Understand the fundamentals of Generative AI and its applications in management.
• Use GenAI tools to enhance teaching, curriculum development, and research.
• Apply advanced statistical techniques for data analysis and interpretation.
• Critically evaluate the ethical implications of using GenAI and statistical methods.
• Develop innovative solutions to management challenges using GenAI and statistical insights.
• Contribute to the advancement of management education and research through the responsible and effective use of these tools.

Target Audience

Faculty members, research scholars, corporate trainers, and management professionals aiming to enhance their analytical and AI-driven teaching/research capabilities.

Workshop Activities

The workshop will incorporate a variety of activities to enhance learning and engagement, including:

• Lectures: Expert-led presentations on key concepts and techniques.
• Hands-on Exercises: Practical exercises using GenAI tools and statistical software.
• Case Studies: Analysis of real-world examples of GenAI and statistical applications in management.
• Group Discussions: Collaborative discussions to share insights and best practices.
• Project Work: Participants will work on individual or group projects to apply the learned concepts to their own research or teaching.
• Guest Speakers: Presentations by industry experts and leading researchers in the field.

Criteria for Certificate of Participation

Participants will be awarded a Certificate of Participation upon fulfilling the following requirements:

• Minimum Attendance: At least 80% attendance (i.e., participation in 10 out of 12 live sessions).
• Active Engagement: Participation in discussions, Q&A sessions, and interactive activities.
• Assignment Completion: Submission of all workshop assignments, case studies, or practical exercises within the given deadlines.
• Feedback Submission: Completion of the post-workshop feedback form.

Certificates will be issued digitally within 7 working days after the successful completion of the workshop and verification of all criteria.

Day-Wise Schedule (14 Sessions | 2 Hours Each)

Day 1 (1 September 2025): Introduction to Generative AI: Overview of Generative AI, concepts, evolution, and applications in management education & research; Case examples from academia and industry

Day 2 (2 September 2025): AI-assisted Content Creation: Using AI for lecture notes, presentations, and study materials; Demonstration of AI-powered tools for curriculum design

Day 3 (3 September 2025): AI for Research Writing & Literature Review: Automating literature surveys, generating summaries, and drafting research outlines; Ethical considerations and avoiding plagiarism

Day 4 (4 September 2025): Case Studies: AI in Business and Management: AI-driven market analysis, customer insights, and organizational decision-making; Interactive discussion of real-world management AI applications

Day 5 (5 September 2025): Fundamentals of Statistical Thinking: Role of statistics in management research and decision-making; Identifying variables, data types, and research questions

Day 6 (6 September 2025): Data Collection and Preparation: Methods of data gathering, cleaning, and transformation; Tools for dataset preparation (Excel, Python, R basics)

Day 7 (7 September 2025): Descriptive Statistics and Visualization: Measures of central tendency, dispersion, and distribution; Creating effective visualizations using statistical software

Day 8 (8 September 2025): Inferential Statistics – Part 1: Hypothesis testing fundamentals: t-tests, chi-square, ANOVA; Hands-on exercises with management datasets

Day 9 (9 September 2025): Inferential Statistics – Part 2 & Regression: Correlation analysis and simple/multiple regression techniques; Application in business forecasting

Day 10 (10 September 2025): Predictive Modeling and Forecasting: Time series analysis, trend projection, and business forecasting models; Integration of predictive analytics in decision-making

Day 11 (11 September 2025): AI-Powered Data Analysis: Using Generative AI with statistical software for advanced analytics; Practical demo: AI-assisted interpretation of statistical results

Day 12 (12 September 2025): Integrating AI and Statistics for Research: Building AI-supported statistical models; Real-world examples from published management research

Day 13 (13 September 2025): Group Project Presentations: Presentation of AI + statistical analysis projects; Peer review and constructive feedback session

Day 14 (14 September 2025): Future Trends & Closing Session: Emerging developments in Generative AI and analytics for management research: Workshop reflection, discussion, and certificate distribution guidelines

Organized by

MathTech Thinking Foundation, Fazilka, Punjab, INDIA