人工智能赋能研究生创新能力评价  

Artificial Intelligence Empowering Postgraduate Students'Innovation Ability Evaluation

作　　者：张永梅 杜治蓉 郭奥 张睿 ZHANG Yongmei;DU Zhirong;GUO Ao;ZHANG Rui(School of Information Science and Technology,North China University of Technology;School of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China;College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]北方工业大学信息学院 [2]北方工业大学电气与控制工程学院,北京100144 [3]太原科技大学计算机科学与技术学院,山西太原030024

出　　处：《软件导刊》2025年第4期184-190,共7页Software Guide

基　　金：教育部人文社会科学研究规划基金项目(24YJA880097);教育部人文社会科学研究项目青年基金项目(23YJCZH299);北方工业大学研究生教育教学改革研究项目(YJS2023JG01)。

摘　　要：研究生是推动国家科技创新的重要生力军,对其创新能力进行准确评价尤为重要。评价体系构建方法和评价方法的科学合理性,直接影响到研究生创新能力评价结果的准确性。首先,归纳了国内外研究生创新能力评价体系构建方法和评价方法;其次,分析目前存在的问题,并给出相应的解决办法;最后,对具体实践和成效分析进行总结,提出了未来发展趋势与应用前景。分析发现,无论是评价体系构建方法还是创新能力评价方法,非人工智能方法都存在主观性较强的问题,而人工智能方法能有效解决该问题,并具有客观性、准确性、高效性的优势。Postgraduate students play a vital role in promoting national scientific and technological innovation,and it is particularly important to accurately evaluate postgraduate students'innovation abilities.The scientific rationality of the evaluation system construction and evaluation methods has a direct impact on the accuracy of the evaluation results.This paper concludes the construction and evaluation methods of the post‐graduate innovation ability evaluation system at home and abroad,analyzes the current problems and proposes corresponding solutions,also summarizes specific practices and effectiveness analyses,and presents the future development trends and application prospects.In postgradu‐ate students'innovation ability evaluation,the non-artificial intelligence methods suffer from strong subjectivity,and the artificial intelligence methods can effectively address this issue with the advantages of objectivity,accuracy,and efficiency.

关 键 词：研究生 创新能力 人工智能 评价体系 评价方法 

分 类 号：G434[文化科学—教育学]