Journal of Educational Research and Policies, Год журнала: 2025, Номер 7(1), С. 24 - 29
Опубликована: Янв. 31, 2025
This paper explores the application of knowledge graphs in reform and exploration Python programming education, using a case study from Nanfang College Guangzhou. The investigates impact on student learning outcomes course, comparing an experimental group (EG) that utilized interactive graph-based tool with control (CG) followed traditional teaching methods. A mixed-methods approach was adopted, combining quantitative assessments (pre- post-course quiz, final exams, practical coding assignments) qualitative feedback students through surveys. results reveal EG outperformed CG all assessment categories, showing significant increase quiz scores, exam performance, assignments. Specifically, demonstrated 13% improvement 15% 18% assignments compared to CG. Statistical analysis confirmed significance these differences, p-values below 0.05 for measures. Qualitative also highlighted effectiveness enhancing understanding abstract concepts, improving problem-solving skills, boosting confidence applying real-world problems. These findings suggest can serve as powerful offering visual method comprehend complex relationships between concepts. highlights potential integrating KGs into computer science curricula foster deeper learning, reduce cognitive load, improve outcomes. Further research is recommended explore long-term education their applicability across different languages educational contexts.
Язык: Английский