A Frame Knowledge-based Tutoring System for Advising Students in Programming

Abstract

In this paper, we propose a programming advising system based on organized knowledge related to programming problems found in textbooks. Specifically, when a user inputs an incomplete program, our proposed system identifies and predicts concepts that the beginner does not understand from their program code and provides advice based on these ungrasped concepts. We combine a large-scale language model with our organized frame knowledge to generate advice. Additionally, the proposed system enhances the learning experience by delivering advice in the form of textual explanations, coupled with an interface that visually displays error points.