Research on the Internal Talent Training Path and Performance Evaluation Mechanism of New R&D Institutions in Zhejiang Province

New research and development(R&D)institutions are an important part of the national innovation system,playing an important role in promoting the transformation of scientific and technological achievements.In recent years,new R&D institutions have gradually become the driving force of innovation-driven development in China.Taking new R&D institutions in Zhejiang Province as the research object,this paper studies the internal talent training path and performance evaluation mechanism of new R&D institutions in Zhejiang Province by using the literature research method,comparison method,case verification method,and other methods.The investigation results show that there are problems such as lack of material and spiritual support and neglect of the absorption of local talents in the internal talent training,and there are problems such as unclear standards,insufficient data,and opaque processes in the performance evaluation mechanism,which greatly affect the establishment and improvement of the performance evaluation mechanism.Given the above problems,this paper puts forward a forward-looking,oriented,flexible,and compatible talent training path and performance evaluation mechanism,hoping to optimize the effective internal talent training path of new R&D institutions,improve the evaluation performance,and promote healthy development of new R&D institutions in Zhejiang Province.

Exploration of the Talent Cultivation Model for the Integration of Industry and Education in University Asset Evaluation

During the 14th Five Year Plan period,the main task of talent team construction in China’s asset appraisal industry was to develop innovative talent training models.Therefore,this article focuses on the talent cultivation model of integrating industry and education in asset evaluation in universities,systematically summarizes the theoretical and practical significance of research on asset evaluation talent cultivation models in universities,and explores the construction measures of asset evaluation talent cultivation models based on the integration of industry and education that meet social needs and the development of the times[1].At the same time,the strategy of constructing a deep integration talent training system was explored,guided by the integration of industry and education,to cultivate asset evaluation composite talents with strong practical skills.The aim is to provide a reference for improving the quality of asset evaluation professionals in China and promoting the development of asset evaluation talent training models.

Research on Evaluation of China s Marine Talent Ecosystem

Based on the research on talent ecosystem,China s marine talent ecosystem was evaluated and analyzed from the aspects of its constituent elements,characteristics,operation mechanism,and evolution mechanism,and an evaluation index system of China s marine talent ecosystem was constructed.Finally,relevant suggestions on the optimization and perfection of China s marine talent ecosystem were put forward.The research has guiding significance for the in-depth analysis of China s marine talent ecosystem.

An empowerment evaluation framework for national scientific and technical information governance

‘Empowerment’is the result of pursuing special capabilities under a specific value orientation.The changes in related object capabilities triggered by scientific and technical information activities in the new environment are important to the national scientific and technical(S&T)information governance.Based on the empowerment theories and evaluation practices,this study attempts to construct an empowerment evaluation framework for national S&T information governance and takes the participatory technology assessment and Altmetrics methods as examples to demonstrate its advantages:1)The capability changes and development potential are regarded as important basis for evaluation;2)The multi-person participation and multi-indicator comprehensive evaluation method is conducive to the democratic and objective nature of science and technology information governance policy formulation.

Construction of Quality Evaluation System for Translation Majors in Application-Oriented Colleges and Universities

Under the background of“One Belt and One Road Initiative”,China’s internationalization improves greatly,which promotes all-round communication and cooperation between China and foreign countries;the demand for application-oriented translation talents is bound to increase substantially.Therefore,it is of great significance to establish a scientific and reasonable quality evaluation system to train translation professionals.This paper aims to discuss how to construct a quality evaluation system for translation majors in application-oriented colleges and universities for the purpose of promoting the translation talents cultivation.

Research Status and Trends of Science and Technology Evaluation in China—Visual Analysis Based on Knowledge Mapping

In order to understand the current status and future trends of China’s science and technology evaluation research, we use the visual analysis tool CiteSpace to use the source journals included in the Chinese social science citations from 1998-2019 as the data source, and evaluate the domestic science and technology evaluation papers from the number of publications, the co-occurrence of authors, Institutional co-occurrence and subject clustering are analyzed. The study found that: the total amount of literature in the field of domestic science and technology evaluation is showing an overall upward trend;a relatively obvious author cooperation network has been formed, but the core author group has not yet been formed;institutional cooperation clusters have appeared, but the cooperation between institutions is still relatively scattered;The research topics focus on three aspects: science and technology evaluation index system, evaluation method and evaluation system.

CULTIVATION OF S&T TALENTS FOR THE NEXT CENTURY

In recent years, the research institutes under the CAS Shanghai Branch have emphasized the training of S&T talents, energized the restructuring of their system of personnel affairs and adopted a lot of effective measures conducive to producing prodigies, leading to remarkable results. This article gives a detailed exposition of these changes.

人工智能聊天机器人对科研成果与人才评价的影响研究——基于ChatGPT、Microsoft Bing视角分析

美国开放人工智能研究中心(OpenAI)研发的人工智能聊天机器人ChatGPT,基于“生成预训练转换器”(GPT)语言模型能够理解和响应自然语言输入,于2022年11月30日正式发布,短时间内在全球互联网界、学术界及产业界引发热议和关注。以ChatGPT、Microsoft Bing为代表的人工智能聊天机器人基于超大海量数据,采用“从人类反馈中强化学习”(RLHF)进行训练,主要具有三大功能:智能交互对话、智能文本生成、智能文献爬取。人工智能聊天机器人的核心竞争力是采用人工智能生成内容技术(AIGC)而具有强大的内容生成或文本生成能力,除能够生成一般应用性文稿外,还能够从事科学写作,从而引领和推动知识生产方式和学术研究范式变革,知识生产和学术研究进程将显著提速,知识生产者将从非创造性劳动中获得解放,知识生产方式将由“手动式”“半自动式”迈向“自动化”“智能化”。这种变革对传统的科研成果评价机制将产生重大影响,更进一步将对通过科研成果进行人才评价产生重大影响。大体上说,以ChatGPT为代表的人工智能聊天机器人应用于学术研究中,将遮蔽成果演化学术史,影响科研成果创新性评价;挑战知识产权保护制度,影响科研成果权属认定;带来学术伦理风险,影响科研成果评价生态;冲击人才评价基本标准,影响人才评价客观性。鉴于人工智能的渗透性、扩散性和颠覆性,首先要在思想认识上积极面对而不是消极应对,用其所长、避其所短,审慎使用,着力发挥其促进知识生产、推动学术进步的积极作用;其次,要抓住现行相关法规制度与快速进步的人工智能技术之间发展不平衡的矛盾,进一步完善制度、设置“护栏”,规范使用;第三,要推动技术开源,公开其智能生成逻辑,增强人工智能聊天机器人的技术可信度;第四,要建立人机协作机制,既发挥技术的数据处理优势,又发挥人的理性思维优势,最终由人把关知识生产、科研成果及人才评价。

基于模糊AHP与模糊TOPSIS的人才选拔方案

针对人才选拔过程中指标权重和指标值的模糊性,建立了模糊环境下的人才选拔方案。首先建立了基于语言变量的判断矩阵和评价矩阵,然后将语言变量转化为三角模糊数,得到模糊判断矩阵和模糊评价矩阵,再利用模糊AHP确定指标的模糊权重,利用模糊TOPSIS计算出各个被评价对象的贴近度,进而得出各个被评价对象的排名,最后以数学建模竞赛队员的选拔为例,说明了方案的可行性和有效性。

基于Milestones的不同阶段医学人才岗位胜任力培养目标探讨

根据医学教育培养和医学人才成长规律的渐进性和连续性特征,以及我国《本科医学教育标准-临床医学专业(试行)》《住院医师规范化培训内容与标准(试行)》《关于印发临床医学、口腔医学和中医硕士专业学位研究生指导性培养方案的通知》等医学人才培养标准和目标,结合中国医师岗位胜任力8大核心要素,梳理并合理界定医学院校教育、毕业后医学教育和继续医学教育等不同培养阶段医学人才岗位胜任力培养内容和目标,以利于培养机构科学地制订、设计和实施不同培养阶段医学人才岗位胜任力培养方案,并通过基于Milestones(里程碑)评估系统的评价和促进作用确保和提高医学人才岗位胜任力培养质量。

基于InCites数据库的研究人员科研评价——以A高校2017—2021年新进博士为例

InCites数据库可以对研究人员的科研表现进行全方位、多角度的深度分析。以A高校2017—2021年间新进博士为例,探查其SCI论文产出是否具有优势,利用InCites数据库,对其SCI论文产出的表现与A校研究人员总体的表现进行比较,发现新进博士的人均发文、篇均被引、人均被引、Q1期刊发文占比、国际合作论文数占比及排名前10%的论文数占比各项指标的均值均高于A校整体水平的均值,说明新进博士对学校的科研发展起到了助推作用。该案例展示了如何利用InCites数据库进行研究人员科研评价的方法和过程,可以为相关的研究提供有益参考,继而为管理决策提供客观数据支撑。

基于TOPCARES-CDIO构建高水平工程人才评估体系研究

传统的高校人才培养以教师及其课程为中心,忽视学生自身是教育的核心,导致学生综合素质的培养不足。本文对国内外工程教育的发展和问题进行分析,引出工程管理专业人才培养中存在的问题。根据TOPCARES-CDIO教育理念对工程管理专业的培养目标重新进行定位,细化能力指标,并运用TOPCARES-CDIO教育理念构建工程管理专业人才培养的评估体系,有效解决工程类高水平人才培养质量的提升问题。

熵权-TOPSIS法在高校人才甄别中的应用

结合高校人才选拔工作的实际,提出了人才甄别评价模型,并给出了评分标准。利用熵权和TOPSIS法对求职者进行综合评价和排序,保证了评价指标权重确定的客观性,为高校合理、有效地甄别人才提供了理论依据。

人才测评T-DS-A实验教学模式设计与实践

为了推动课堂教学改革,结合建构主义的核心理念,将实验项目融入课堂理论教学中,设计了"人才测评"课程T-DS-A实验教学模式并付诸实施。该模式以发挥学生的主体作用为重点,推动学生之间的合作学习,强化教师对学生学习过程的辅导支持,使课堂理论教学与实验教学紧密结合。教学实践表明:T-DS-A模式有助于学生更好地掌握人才测评基础理论知识,提高其实践应用能力和创新能力,有利于培养综合素质。

基于TRIZ创新法构建CIPP型实验教学评价体系

实验教学在工程应用型人才的培养中发挥着重要作用。传统的实验教学评价体系存在目的不明确、指标不全、评价方式单一等问题,降低了评价的质量和效果。整合“发明问题解决理论”(TRIZ)创新思维分析工具和解决问题工具,将其融入背景、投入、过程与成果(CIPP)评价模式的各个环节,形成基于TRIZ创新法的CIPP型实验教学评价体系,对物理化学实验教学从多方面进行评价,并构建了多层次分级评价指标群。应用效果分析表明该评价体系可操作性强,方法更科学、全面,既有利于提高教学质量、促进师生创新实践能力和创新思维的共同发展,又推动了教育过程不断持续改进。

基于熵权TOPSIS模型对人才吸引力的评价

人才对城市的发展具有十分重要的作用,针对各地加大争夺人才的背景下,科学客观地评价城市人才吸引力显得非常重要.首先构建人才吸引力综合评价指标体系,然后通过熵权法确定评价指标权重,运用TOPSIS法对评价指标值进行规范化处理,从而建立人才吸引力评价模型,以上海、北京、深圳和广州为例,基于构建的熵权TOPSIS模型求出各城市人才吸引力的综合得分和排名.最后针对城市的人才吸引力提出相关建议.

“双一流”建设背景下博士后流动站综合评价——基于TOPSIS模型的多层级指标体系与评价方法

为实现博士后流动站的科学合理评价,充分发挥博士后流动站在培养高水平科技人才中的重要作用,构建博士后流动站的三级评价指标体系和TOPSIS评价模型,并对某高校水利工程博士后流动站进行案例分析。结果表明,可从基础建设与管理、招收与选拔情况、人才培养效果、成果产出效益方面评价博士后流动站的综合情况,案例高校水利工程博士后流动站在4个评价期的综合评分逐步上升,真实反映不同时期评价对象的相对水平。所构建的评价指标体系与方法综合反映博士后流动站的质量水平,且可对不同博士后流动站不同时期的综合情况进行排序,定量比较不同评价对象间的差异,有助于提高博士后流动站的科研和管理水平,推进博士后流动站高水平建设。

基于熵权TOPSIS法的企业创新型技术人才价值评价

借鉴冰山模型对胜任力的分类,将企业创新型技术人才价值分为显性价值和隐性价值.显性价值包括创新知识、创新技能和创新成果;隐性价值包括创新品格、创新动机和创新潜力.基于文献研究和深度访谈结果,选取21个创新型技术人才价值评价指标,采用熵权法计算权重,运用TOPSIS法评价创新型技术人才价值,并通过MATLAB软件实现评价过程,建立企业创新型技术人才价值评价体系.结果表明,基于熵权的TOPSIS方法能够有效评估企业创新型技术人才的要素价值和综合价值,可以为企业创新型技术人才的选拔、培养和激励提供重要依据.

杜克大学跨学科人才培养项目模式的建构研究--基于2014-2018 Bass Connections年度评估报告分析

本文从国际比较视角,分析了跨学科人才培养模式中的项目模式对跨学科学习和研究的深刻意义。以杜克大学的Bass Connections项目为研究对象,通过对杜克大学2014—2018年的Bass Connections Annual Evaluation Reports进行文本分析,从三个维度总结概括Bass Connections项目模式,在分析中发现全新的发展评估框架,科学、清晰的战略计划和专业的顶层设计,项目形式的丰富性与参与主体的多样化促进了Bass Connections项目的快速成熟。Bass Connections项目已经成为杜克大学实施跨学科研究和教学的标志,为我国“双一流”建设高校在人才培养和学科建设方面构建一流的跨学科人才培养模式提供了先进理念和实践层面的启示。

A Vague Set Based OWA Method for Talent Evaluation

In recent years,decision-making under uncertainty has attracted substantial attention in both academia and industry,with a growing number of organizations prioritizing decision support for talent evaluation.Vague set theory has been recognized as a powerful tool to address the ambiguity of problem parameters and manage uncertainty.This paper introduces a novel talent evaluation method that harnesses the potential of vague sets.We construct a vague set Ordered Weighted Averaging(OWA)operator for offering a robust solution to intricate decision-making problems,especially in talent evaluation.The application of the OWA operator augments the decision-making process by providing a mechanism to handle the aggregation of information in a more flexible and comprehensive manner.Experimental results show the effectiveness of the proposed method,presenting an alternative for decision-makers,aiding them in selecting their preferred choices amidst uncertainty.