Summary: | 碩士 === 國立中山大學 === 資訊管理學系研究所 === 106 === Recommendation system in education context is gaining in importance. While most studies focused on the functionality and effectiveness of the recommendation, we believe the design attribute of the recommendation is as important. The present study proposed a programming learning system, Web Programming Grading Assistant (WPGA), which helps students by recommending a review sequence of questions. To improve the system and recommendation, we investigated the effect of information transparency and information presentation format on the students’ perceptions of the system, and explored if the recommendation could help students learn, motivate them for further learning and being willing to recommend other programming learning courses to apply WPGA. Information transparency was manipulated as explanation provision. Two formats, a visual version and a textual version, were designed to present the explanation. Multiple data analyses including questionnaires, an eye tracker and post experiment interview were utilized. The results showed raising the degree of information transparency is essential in recommendation system, and the students preferred the visual version of explanation as they perceived it easier to interpret. They also liked the recommendation as it motivated them for further learning and they were willing to recommend other programming courses to implement WPGA. Results from the eye tracker showed significant difference as the students spent less time on the visual version. In conclusion, practitioners should consider information transparency while designing recommendation system, and educators can leverage visualization when presenting teaching materials of complex knowledge such as programming.
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