数字化教学已成为教育教学改革的重要方向，大数据时代驱动下的线上课程教学质量评价显得尤为重要。在这
一背景下，线上教学质量评价、线上课程教学改革、“数+”模式、大数据分析和自动化评价模型等新型教学模式及评价应运而
生，为个性化、定制式教学提供了有力支持。以超星平台线上课程资源为数据样本，深入分析了线上教学现状，研究了线上教
学评价体系，建立了线上教学评价模型，并对评价模型进行了验证与优化。结果表明，运用大数据分析和自动化评价模型可以
实现对学生的学习数据进行实时监控和评估，可以及时获取学生学习状态和教师对教学投入情况，以便教学部门及时调整教
学策略，提高教学质量。
Digital teaching has become an important direction of education and teaching reform, and the online course teaching qual‐
ity evaluation driven by the big data era is particularly important. In this context, new teaching modes and evaluations such as online
teaching quality evaluation, online course teaching reform, "digital + " mode, big data analysis and automated evaluation models
have emerged, providing strong support for personalized and customized teaching. Taking the online course resources of Superstar
platform as data samples, the current situation of online teaching is analyzed in depth, the online teaching evaluation system is stud‐
ied, the online teaching evaluation model is established, and the evaluation model is verified and optimized. The results show that
the use of big data analysis and automated evaluation model can realize real-time monitoring and evaluation of students' learning
data, and can timely access the students' learning status and teachers' input to teaching, so that the teaching department can timely ad‐
just the teaching strategy and improve the quality of teaching.
