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The integration of technology and education: An innovative research on the evaluation system of college students’ programming ability
“The rapid development of artificial intelligence technology has made programming ability a core competency for college students. However, the existing single-indicator evaluation system struggles to accurately distinguish between different levels of ability, highlighting the urgent need for a scientific and multidimensional evaluation system. In this study, the AHP-TOPSIS method was adopted. Combined with the grades of programming-related courses and competition results, a multi-dimensional evaluation system for programming design ability was constructed, and a comprehensive score was given to 307 students. The results show that the weight of mathematical analysis ability is the highest (0.26), highlighting its core position in programming education. Furthermore, the comprehensive scores of students follow a normal distribution. 68 % of the students’ scores are concentrated between 70 and 79 points, which can effectively distinguish students of different ability levels. Further analysis indicates that there is a strong positive correlation between course grades and competition grades (Pearson’s r = 0.78), emphasizing the importance of a solid course foundation for the development of programming ability. Furthermore, there was no significant difference in the comprehensive score between genders (p = 0.22, Cohen’s d = -0.15), indicating that programming education should focus on individual differences rather than gender. The evaluation system proposed in this paper not only provides scientific assessment tools for educational institutions, but also offers a basis for optimizing teaching strategies, improving teaching quality and the quality of talent cultivation, which is of great significance to the reform and innovation of computer education.”
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