政府型公共技术服务平台产学研用模式探索

本文通过采用校企共建实践教学基地、设置创新型项目化课程教学、研发产品的创新制作以及自主创业设立公司等方法和方式,对平台"产""学""研""用"四大模块进行应用研究,完善和提高平台的专业建设水平,发挥平台技术和研发力量的优势,使之成为既能满足行业企业的需求,又能真正成为培养"创新型人才"的"新平台",为探索高等院校人才培养模式的改革提供新思路。     

高校网球教学改革与发展策略

网球运动可以增强学生体质、培养学生竞争意识和团结协作精神。本文从高校网球运动进行教学改革的重要性出发,对现阶段网球教学过程当中存在的课程学时少、课堂容量大、教学内容单一、师资力量匮乏等几大问题进行讨论,提出网球教学应调整课程比例、改变传统教学模式、调整教学内容、强化师资队伍等,从而更好地推动我国校园网球的进一步发展。     

赋能存量 做优增量 把握变量——面向“十四五”的国内高校图书馆文献信息资源建设思考

[目的/意义]面向“十四五”的高校图书馆文献信息资源建设既是整体规划的重要组成部分,又是图书馆的服务保障与基础条件。明确编制过程、调研重点、发展思路与实施措施,对于高校图书馆中长期的文献信息资源建设战略有重要的指导作用和现实意义。[方法/过程]结合文献调研与行业观察和分析,采取案例研究、政策文本解读、比较研究等方法,总结高校图书馆制订文献信息资源建设“十四五”规划的策略与发展思路。[结果/结论]文献信息资源建设的总体思路是赋能存量、做优增量和把握变量,针对新发展阶段高校图书馆的目标与任务,提出具体的实施策略。     

美国哥伦比亚大学口述历史工作研究及启示

[目的/意义]哥伦比亚口述历史中心是世界口述历史研究的标杆机构，通过对其进行详细调研分析，为我国图书馆口述历史工作的开展提供借鉴与启示。[方法/过程]通过对哥伦比亚口述历史中心的3个主要网站及相关文献的调研，对其岗位设置与人员职能、资源建设与加工组织、资源存档与使用、教育培训与跨学科合作、资金来源与调查研究5个方面进行详细调查。[结果/结论]调查发现，哥伦比亚口述历史中心具有注重分工与专业背景、广泛开展跨学科合作、重视教育教学、藏教研分离4个方面的特点。从图书馆的视角出发，对我国图书馆口述历史工作的开展，提出以下4点启示：培养人才，建设专业团队；拓展选题范围，进行跨学科合作；积极参与，搭建课程体系；分解职能，实现分离管理。     

个性服务视域下的高校档案数据库建设

本文通过研究当前高校档案管理的重要性,结合实际的档案需求情况,分析了档案专题数据库基本的几种类型,来满足高校群体对档案信息的个性化需求,并通过对档案专题数据库模式的分析,制定了具体的应用措施,以便能够为相关人员提供信息参考。     

Towards a Framework for Evaluating the Research Performance of Chinese Double First-Class Universities

The study focuses on the research performance of Double First-Class (DFC) universities in China. A theoretical framework based on economic theory and the Analytic Hierarchy Process (AHP) method for a novel evaluation model is proposed. The model is performed on a sample of 41 participant DFC universities in China. Using data collected from these universities, it was found that there is no consistency between performance ranking, input ranking, and output ranking, with the best ranked universities far from the most efficient. These findings provide empirical evidence of DFC universities’ research performance situation and suggest strategies that the government can use to propel their sustainable development.     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

SPOC在线课程在大学计算机基础课程教学中的应用实践

随着网络和信息技术的发展,现如今越来越多的课程通过网络和各种网络工具进行混合式教学。大学计算机基础课程是大学生的第一门计算机公共基础课程,同时也是大学生学习后续其他课程的重要基础课。为了提高该课程的教学效果,实现人才培养目标,教学团队针对该课程教学中存在的主要问题,通过结合SPOC在线课程的混合教学模式及运用多种教学方法,将线下和线上教学相结合。实践教学表明,混合式的教学模式不仅提高了学生的学习积极性和兴趣,而且达到了较好的教学效果。     

广州大学城高校图书馆信息资源调查

对广州大学城10所大学图书馆的信息资源进行了问卷调查,旨在为“广州大学城高校图书馆文献资源共建共享策略研究”提供参考数据。