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Personalized Learning Path Recommendations for Software Testing Courses Based on Knowledge Graphs

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摘要 Software testing courses are characterized by strong practicality,comprehensiveness,and diversity.Due to the differences among students and the needs to design personalized solutions for their specific requirements,the design of the existing software testing courses fails to meet the demands for personalized learning.Knowledge graphs,with their rich semantics and good visualization effects,have a wide range of applications in the field of education.In response to the current problem of software testing courses which fails to meet the needs for personalized learning,this paper offers a learning path recommendation based on knowledge graphs to provide personalized learning paths for students.
出处 《计算机教育》 2023年第12期63-70,共8页 Computer Education
基金 supported by the Special Funds for Basic Research of Central Universities(D5000220240) the Special Funds for Education and Teaching Reform in 2023(06410-23GZ230102)。
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