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Bridging Theory and Practice: an Ai-powered Simulation Agent for Contextualized Data Analytics Pedagogy

  • Nov 18, 2025
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Abstract Book of the 9th World Conference on Research in Teaching and Education

Year: 2025

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Bridging Theory and Practice: an Ai-powered Simulation Agent for Contextualized Data Analytics Pedagogy

Bharat Patil

ABSTRACT:

Traditional data analytics instruction often fails to translate theory into real-world practice. This paper examines a new teaching framework built around an intelligent simulation agent designed to close that gap by immersing learners in context-rich, applied scenarios. I implement a ”Four-Step Interactive Setup” where students select a business industry, a data science topic, and a technical mode (e.g., Python, R, or “concepts-only”). The AI agent generates a realistic business scenario and guides the student’s analysis through a scaffolded, question-driven dialogue that mimics expert mentorship. The primary contribution is a flexible, scalable, and extensible pedagogical model that democratizes access to high-quality, scenario-based learning for students with and without coding backgrounds. This framework enables institutions to scale personalized experiential learning and empowers instructors to transition from lecturers to facilitators of advanced analytical inquiry.

Keywords: Simulation-Based Learning, Ai Pedagogy, Data Analytics, Experiential Learning, Student Engagement