本研究以「程式設計」、「程式設計概論」、「人工智慧概論」及「人工智慧概論與應用」課程之修課資料及學習成績進行分析，探討女性學生們在上述課程之參與比率及學習成績和男性學生之差異。

研究結果：

1.女性學生修習程式設計及人工智慧相關課程之比率，除了「程式設計」(10.50%)較低外，在「人工智慧概論」(39.55%)及「人工智慧概論與應用」(37.96%)等課程，修習人數比率均接近40%，而「程式設計概論」則更進一步達52.33%。

2.有別於過往認為男性學生較為擅長理工而女性學生較為擅長人文學科之刻板印象。本研究結果顯示，四門課程中女性學生之平均成績均顯著高於男性學生。

This study analyzes class data and academic performance in four required courses of "Programming," "Introduction to Programming," "Introduction to Artificial Intelligence," and "Introduction to Artificial Intelligence and Applications" to explore differences in the participation rates and academic performance between female students and male students.

Results:

1.The ratio of female students taking four courses varies. While the selection rate in "Programming" is relatively low (10.50%), "Introduction to Artificial Intelligence" and "Introduction to Artificial Intelligence and Applications" have a close to 40% female students participation. Furthermore, "Introduction to Programming" has a higher female students enrollment rate of 52.33%.

2.Contrary to the stereotype that male students excel in STEM fields while female students excel in humanities, the findings indicate that female students have better performance than male students significantly in terms of average grades across the four courses.