AI-Powered Field Survey Simulation for Independent Learning

Abstract

This project proposes an AI-enabled, student-centred diagramming tool, complemented by the integration of a SmartSketch AI tutor bot, to enhance engagement, accessibility, and learning outcomes in Introductory Microeconomics (ECON101). Drawing on student feedback and teaching experience, the project addresses a critical barrier: students often spend excessive time and cognitive effort constructing diagrams rather than developing conceptual understanding and analytical responses.

The diagramming tool incorporates pre-configured economic curves, intuitive labelling, and grid-based alignment to minimise technical complexity while maintaining academic rigour. The SmartSketch AI tutor bot functions as an embedded support agent, guiding students through diagram construction, prompting critical thinking, and providing immediate, context-specific feedback based on unit materials. This integration enables a seamless learning experience across practice, teaching, and assessment environments, supporting students with diverse digital and language capabilities.

Student involvement is central through iterative feedback, usability testing, and reflective engagement with the AI tutor. Anticipated outcomes include improved engagement, reduced cognitive load, enhanced diagram accuracy, and deeper conceptual understanding. This project advances inclusive and participatory teaching by leveraging student voice and AI to foster equitable and meaningful learning experiences.