基于大数据的高职教学质量评价问题及措施研究

Research on Higher Vocational Teaching Quality Evaluation Problems and Its Countermeasures Based on Big Data

阐述了大数据时代教学质量评价的重要意义,分析了目前我国高校教学质量评价存在的问题,如忽略过程性评价、评价内容不全面、评价结果展示形式单一、学生参评热情不高等,提出了构建大数据时代教学质量评价体系的重要举措,如过程性评价和结果性评价相结合、扩展教学质量评价的内容、丰富评价结果的展示形式、调动学生参评的积极性等。

It states the important meaning of teaching quality evaluation under big data era, analyzes the present existing problems of China＇s college teaching quality evaluation, such as the ignorance of process evaluation, the incomplete evaluation content, the same evaluation result display form, the low enthusiasm of students＇ participation. It puts forward the important countermeasures of teaching quality evaluation system under big data era, such as the combination of process evaluation and result evaluation, extending the teaching quality evaluation content, enriching the evaluation result display form, improving the student participation enthusiasm and so on.