大数据背景下高职院校专业诊断与改进研究

Research on Specialty Diagnosis and Improvement of Higher Vocational Colleges under the Background of Big Data

专业诊改是高职院校构建内部质量保证体系,提升人才培养质量的有效手段,而诊改评价模型的建立对专业诊改工作的推进起着至关重要的作用。本文利用大数据技术下的层次分析法,从多维度细粒度角度出发,构建符合当前职业教育学情的专业建设评价指标体系以及相应的评价模型。实验证明,该方法有助于客观、准确地评价高职院校中专业建设的过程和效果,为后续专业建设的改进提供一个精准的决策依据。

The specialty diagnosis and improvement is an effective means to construct the internal quality assurance system and improve the quality of personnel training in higher vocational colleges,and the establishment of the evaluation model of specialty diagnosis and improvement plays an important role in promoting the work.This paper uses the Analytic Hierarchy Process(AHP)under the big data technology,constructs the evaluation index system and corresponding evaluation model of specialty construction in line with the current situation of vocational education from the perspective of multi-dimensional and fine-grained.Experiments show that this method is helpful to objectively and accurately evaluate the process and effect of specialty construction in higher vocational colleges,and provide an accurate decision-making basis for the improvement of subsequent specialty construction.