University course selection is a complex process that lacks comprehensive, personalized support, forcing students to navigate fragmented solutions without a clear view of their academic trajectory. Current tools often fail to accommodate diverse student goals, such as GPA maximization, knowledge breadth, or career readiness. This paper introduces a modular, interactive framework designed to provide personalized, goal-driven decision-making support. The proposed system moves beyond impractical brute-force path generation to an incremental, student-controlled process. An initial implementation has successfully developed user data collection and course evaluation modules, demonstrating the feasibility of the approach. Future work will focus on expanding module functionality and refining personalization to create a flexible and reusable system that enhances student confidence and satisfaction in academic planning.

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Framework for Personalized Support in University Course Planning

  • Oliver Udvardi,
  • Matej Baier,
  • Ján Lang

摘要

University course selection is a complex process that lacks comprehensive, personalized support, forcing students to navigate fragmented solutions without a clear view of their academic trajectory. Current tools often fail to accommodate diverse student goals, such as GPA maximization, knowledge breadth, or career readiness. This paper introduces a modular, interactive framework designed to provide personalized, goal-driven decision-making support. The proposed system moves beyond impractical brute-force path generation to an incremental, student-controlled process. An initial implementation has successfully developed user data collection and course evaluation modules, demonstrating the feasibility of the approach. Future work will focus on expanding module functionality and refining personalization to create a flexible and reusable system that enhances student confidence and satisfaction in academic planning.