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This research aims to explore the design and outcomes of a PBL-AI Fusion instructional model in software liberal arts education.

A Case Study on the Design and Implementation of a PBL-AI Fusion-based Instructional Model for Basic Software Liberal Arts Education

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This research aims to explore the design and outcomes of a PBL-AI Fusion instructional model in software liberal arts education.
Implemented a 15-week course at J University using the PBL-AI Fusion model.
Employed a metacognitive process consisting of Planning, Check 1, Action, Check 2, and Evaluation.
Analyzed student feedback and coding performance across different experience levels.
Significantly reduced barriers in coding for students.
96.7% of students found AI feedback useful, and 95.4% intended to continue using it.
Inexperienced learners utilized control structures better than experienced learners, indicating effective learning.

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Case study shows metacognitive process improves coding skills in students, suggesting new teaching models are needed.

Eun-Sill Jang (2026) studied this question.

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