An Evaluation of Testcase Recommendation Systems Through Feedback Model
摘要
This study proposes integrating a Feedback Model into the Testcase Recommendation System (TRS) to support learners in improving their programming assignments. This study also suggests two types of feedback: direct feedback, represented by numeric ratings, and indirect feedback, conveyed through textual reviews. Methodologies are designed to evaluate the Feedback Model-integrated system deployed in real-world settings, followed by learner data collection for a comprehensive evaluation analysis. The research findings highlight the suitability of direct feedback for measuring learner satisfaction and the efficacy of indirect feedback in identifying system improvements.