数据科学基础课课程思政教学与实践路径探索

【摘要】 针对数据科学基础课的课程特点和教学内容，设计并改进课程思政的教学方法与手段，从建设课程思政资源库、探索课程教学新模式、拓展第二课堂育人通道以及建立多维度课程评价与反馈机制等方面着手，对整个课程思政的教学流程形成可迭代优化的闭环教学路径，结合四位一体的课程目标，通过深挖课程蕴含的思政元素，将内含的精神和价值外化为课程的教学实践，内化为学生的精神追求，从而实现课程价值引领和学生能力培养的有机统一。更多还原

【Abstract】 In view of the characteristics and contents of Foundations of Data Science, the paper designs and improves the teaching methods of the curriculum ideology and politics. By building the ideological and political resources database of the curriculum, exploring the new teaching mode of the curriculum, expanding the channel of the second classroom education, and establishing the multi-dimensional curriculum evaluation and feedback mechanism, a closed-loop teaching path that can be iteratively optimized for the whole course ideological and political teaching process is formed. Combining the objectives of the four-in-one curriculum, by digging deeply into the ideological and political resources contained in the course, the inner spirit and value are externalized into teaching practice and internalized into students’ spiritual pursuit, thus realizing the organic unity of curriculum value guidance and students’ ability cultivation.更多还原