On the Design and Evaluation of an Interactive Study Planning Tool

Abstract

This poster outlines the formative development and evaluation process of an interactive study planning tool that combines AI-based feedback and process mining to improve comprehensive, informed, and autonomous long-term study planning for students in higher education. The tool integrates rule-based AI with Learning Analytics to provide context-aware feedback, leveraging historical student data to inform planning decisions. The formative Human- Centered Design process integrates Process Mining and AI while incorporating interdisciplinary perspectives of computer science, pedagogy, social sciences, and ethics.