Collaborative Innovation Ability Cultivation of College Students by Improving Achievement Transformation Efficiency

B. An
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Abstract

With the increasingly urgent demand for innovative talents, college students should have strong collaborative innovation ability because they are the backbone of future sci-tech innovation in China. Existing methods can be used to measure and evaluate to some extent the collaborative innovation and achievement transformation efficiency of college students. However, many of the methods focus on data of a certain period and neglect dynamic analysis. Dynamic comparisons of different periods need to be made because innovation activities and achievement transformation may be influenced by time factors in practical situations. In addition, some methods only focus on the quantity index of achievement transformation, and neglect quality evaluation. Therefore, this paper aimed to study the collaborative innovation ability cultivation of college students by improving the achievement transformation efficiency. Three-stage data envelopment analysis (DEA)-Windows model was used to calculate the collaborative innovation and achievement transformation efficiency of college students. This paper elaborated in detail the calculation process of these three stages, namely, the first-stage DEA-Windows analysis, the second-stage panel stochastic frontier analysis (SFA), and the third-stage adjusted DEA-Windows analysis. Based on the research needs of collaborative innovation ability cultivation of college students by improving the achievement transformation efficiency, this paper constructed an evaluation index system using Fare-Primont index model and Pastor method, and focused on the sci-tech innovation achievement transformation factors, such as output results and ability improvement. Finally, this paper showed the analysis results by combining with examples, which verified the proposed method was effective.
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提高成果转化效率培养大学生协同创新能力
随着对创新人才需求的日益迫切,大学生作为中国未来科技创新的中坚力量,应具备较强的协同创新能力。现有的方法可以在一定程度上用来衡量和评估大学生的协同创新和成果转化效率。然而,许多方法只关注某一时期的数据,而忽略了动态分析。需要对不同时期进行动态比较,因为在实际情况下,创新活动和成果转化可能会受到时间因素的影响。此外,一些方法只关注成果转化的数量指标,而忽视了质量评价。因此,本文旨在通过提高成果转化效率来研究大学生协同创新能力的培养。采用三阶段数据包络分析(DEA)-Windows模型对大学生的协同创新和成果转化效率进行了计算。本文详细阐述了这三个阶段的计算过程,即第一阶段的DEA窗口分析、第二阶段的面板随机前沿分析和第三阶段的调整DEA窗口分析。基于提高成果转化效率培养大学生协同创新能力的研究需求,本文采用Fare-Primont指数模型和Pastor方法构建了评价指标体系,重点考察了科技创新成果转化的产出结果和能力提升等因素。最后,本文结合实例给出了分析结果,验证了该方法的有效性。
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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