Capability Assessment of Cultivating Innovative Talents for Higher Schools Based on Machine Learning

IF 17.7 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-05-17 DOI:10.4018/ijicte.343635

Rongjie Huang, Yusheng Sun, Zhifeng Zhang, Bo Wang, Junxia Ma, Yangyang Chu

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Abstract

The innovation capability largely determines the initiative for future development of a region. Higher school is the main position for training innovative talents. Accurate and comprehensive assessment of innovation cultivation capability is an important basis of higher schools for continuous improvement. Thus, this paper focuses on assessing innovative talent cultivation capability. First, by CIPP model (Context, Input, Process and Product Evaluation), an assessment indicator system is built, consisting of 89 indicators in 21 categories. Then, based on indicator characteristics, this paper uses public data statistics, database retrieving, student survey, teacher survey, support personnel and expert investigation, to collect indicator values. After this, by a powerful machine learning algorithm, gradient Boosting regression tree, a capability assessment model is established. And based on collected data, established model is compared with several regression models in innovative talent cultivation capability assessing. Results confirm the performance superiority of our solution.

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基于机器学习的高等学校创新人才培养能力评估

创新能力在很大程度上决定着一个地区未来发展的主动权。高等学校是培养创新人才的主阵地。准确、全面地评估创新人才培养能力，是高等学校不断提高办学水平的重要依据。因此，本文着重对创新人才培养能力进行评估。首先，通过CIPP模型（情境评价、输入评价、过程评价和产品评价），构建了由21类89项指标组成的评估指标体系。然后，根据指标特征，本文采用公共数据统计、数据库检索、学生调查、教师调查、辅助人员和专家调查等方法，收集指标值。之后，通过强大的机器学习算法--梯度提升回归树，建立能力评估模型。根据收集到的数据，将建立的模型与创新人才培养能力评估中的多个回归模型进行比较。结果证实了我们解决方案的性能优越性。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.