高校思政课教学大数据评价的现实困境与优化路径

Realistic Dilemma and Optimization Paths of Big Data Evaluation of Ideological and Political Teaching in Colleges and Universities

大数据时代,大数据的理念、方法和技术为高校思政课教学评价注入了新的活力。大数据应用于高校思政课教学评价,有利于改变传统高校思政课教学评价的“经验主义”倾向,弥补“证据片面性”缺陷,促使评价依据客观公正、评价对象多维覆盖、评价过程及时动态、评价结果精准科学。然而,由于大数据应用于高校思政课教学评价是信息技术与教育教学相融合的全新探索,其目前还存在认知困难、技术困境、共享困境等现实问题。要摆脱上述困境,宏观上,要构建一体化教育大数据平台,推进资源平台整合,实现数据集成共享;微观上,要培育大数据评价意识,提升大数据评价能力,掌握大数据评价规律,建构大数据分类模型。

In the era of big data,the concept,method and technology of big data have injected new vitality into the teaching evaluation of ideological and political courses in colleges and universities.The application of big data in the teaching evaluation of ideological and political courses in colleges and universities is conducive to changing the “empiricism” tendency and removing “one-sidedness of evidence” defects of the traditional teaching evaluation of ideological and political courses in colleges and universities,and promoting the objective and fair evaluation basis,multi-dimensional coverage of evaluation objects,timely and dynamic evaluation process,and accurate and scientific evaluation results.However,since the application of big data to the teaching evaluation of ideological and political courses in colleges and universities is a new exploration of the integration of information technology and education and teaching,there are still some practical problems,such as the difficulty of cognition,the difficulty of technology,the difficulty of sharing and so on.To solve the above difficulties,macroscopically,it is necessary to build an integrated education big data platform,promote the integration of resource platforms,and realize data integration and sharing.At the micro level,it is a must to cultivate the awareness of big data evaluation,improve the ability of big data evaluation,master the law of big data evaluation,and construct a big data classification model.