趋同抑或求异:英国高等教育质量保障的过去与未来

博洛尼亚进程有力推动了欧洲高等教育一体化,英国积极参与欧洲高等教育区建设,在质量保障方面与其保持高度一致,促进了欧洲高等教育的趋同发展。本文通过历史分析发现,英国高等教育质量保障系统包含科研评估、教学评估和机构审核,兼具质量改进与问责的双重功能,且表现出竞争导向、风险为本的市场问责发展趋势。在脱欧背景下,英格兰新成立的学生办公室也是高等教育国家干预与市场问责的进一步结合,并非英国的"求异"发展。英国乃至欧洲高等教育区的质量保障机制面临着机构多样性与标准相似性的张力,并将受到消费者"众口难调"质量观的挑战。     

国家安全之外的《国防教育法》——20世纪中期美国教育改革起源的再审视

1958年颁布的《国防教育法》对认识二战后美国的教育变革有重要意义。但长期以来研究者都视其为对"苏联卫星事件"的回应,是冷战时期国防政策的重要内容。笔者通过对文献的重新发掘与分析,指出两者之间不存在必然联系,这场教育改革不是"刺激-反应"模式的产物;此外,该法案立法过程中的焦点问题是对联邦政府干预教育权限的再讨论;法案通过后,在宣誓政治忠诚和学术自由问题上也受到广泛批评。国家安全不能概括法案的全部,至于联邦政府如何干预教育,以法案为代表的每一次讨论本身就是答案。     

Supportive communication from bystanders of cyberbullying: indirect effects and interactions between source and message characteristics

Cyberbullying is an increasingly common experience that produces psychosocial consequences for targets. Interventions encouraging bystanders to support targets of cyberbullying are limited by a lack of focus on what to communicate. This study considers supportive messages that emphasize emotional comfort, attributions of responsibility, and beliefs that people can change as relevant to this context, and it examines how perceptions of messages differ based on whether support providers have or lack experience with cyberbullying. We extend research on the indirect effects model of supportive communication by randomly assigning participants (N?=?304), who self-identify as targets of cyberbullying, to message and source conditions and assessing their perceptions of messages, providers, and outcomes. Impressions of messages mediate their influence on outcomes, and the experiential similarity of support providers moderates these effects. Certain messages, notably those contending that bullies can change, are less effective when delivered by sources who lack experience with bullying.     

智慧图书馆建设误区与建设策略

[目的/意义] 探究构建智慧图书馆的主要策略,回答什么是智慧图书馆,智慧图书馆是什么样式,建设智慧图书馆的策略,解决智慧图书馆建设中一些模糊不清的理论与实践问题,以拓宽视野。[方法/过程] 采用文献调研与实地调研相结合,梳理和分析图书馆发展历程,指出智慧图书馆建设中出现的误区,提出建设策略。[结果/结论] 提出构建智慧图书馆五大策略,即整体的目标分析与设计;从数据到大数据;多元数据的融合;协调合作与分步落地;创新环境营造。     

Business Intelligence Capabilities and Firm Performance: A Study in China

The development of artificial intelligence (AI) technology expands the boundary of business practice, inducing the emergence and application of business intelligence (BI) that has promoted the transformation of information techniques to optimize business decision and operation. However, there is a lack of theoretical consensus and measurement of the technology embedded in BI at present. This study exploratively develops the Sense-Transform-Drive (STD) conceptual model of BI based on dynamic capabilities theory and organizational evolutionary theory to explain the core BI capabilities. By using factoring analysis and structural equation modeling analysis, we extract the latent constructs and empirically verify the validity of the STD model and further examine the correlation and mode of interaction of the three core BI capabilities and the impact of BI application on firm performance in the real economy with a sample contextual to Chinese business practices. The study results show that there are direct and high-intensity cumulative positive effects among the structural components of the STD conceptual model and BI-related dynamic capabilities can enhance operating efficiency and firm performance.     

In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations

Organizations face increasing pressure to implement artificial intelligence (AI) within a variety of business processes and functions. Many perceived benefits surround AI, but a considerable amount of trepidation also exists because of the potential of AI to replace human employees and dehumanize work. Questions regarding the future of work in the age of AI are particularly salient in pre-adoption organizations, before employees have the opportunity to gain direct experience with AI. To cope with this potentially stressful situation, employees engage in cognitive appraisal processes based on their own knowledge and personal use of AI. These pre-adoptive appraisals of AI influence both affective and cognitive attitudes, which in turn trigger behavioral responses that influence an organization’s ability to leverage AI successfully. Our survey of 363 Taiwanese employees shows that perceptions of AI’s operational and cognitive capabilities are positively related to affective and cognitive attitudes toward AI, while concerns regarding AI have a negative relationship with affective attitude only. Interaction effects of employee knowledge and affective attitude are also observed. This work’s main contribution lies in the development of an empirically-tested model of the potential impact of AI on organizations from an employee perspective in the pre-adoption phase. These results have practical implications for how organizations prepare for the arrival of this transformative technology.     

Elementary school children’s understanding of science: The implementation of an extracurricular science intervention

The promotion of students’ achievement and competence in the so-called STEM disciplines is one cornerstone of current educational research and practice. In particular, as early as elementary school, the fostering of an adequate understanding of science is a normative goal of science education. It facilitates students’ science learning and enables them to understand the nature and development of scientific knowledge. Based on the relevance of the promotion of young children’s understanding of science, a corresponding science intervention was recently developed and successfully evaluated in a first study under highly controlled conditions. The goal of the present study was to investigate the effectiveness of this intervention when implemented in practice. One hundred seventeen third- and fourth-grade students and 10 trained course instructors participated in this study. We applied a randomized block design with waitlist control groups and repeated measures. The results revealed that children assigned to the intervention compared with children assigned to the waitlist control group showed better inquiry-related methodological competencies (a better understanding of the scientific inquiry cycle and experimentation strategies) and a higher need for cognition. The findings point to the successful implementation of the intervention and are compared with the results of the first study.     

Community sport and social inclusion: international perspectives

Abstract

This opening article examines the relationship between community sport and social inclusion in research and practice. We discuss the notion of community sport, its multifarious meanings and diverse applications in different parts of the world. We further explore the conceptual and practical links between community sport and different conceptions of social inclusion. In doing so, the article draws together key themes, issues and debates addressed in the collection of articles in this special issue. We conclude by formulating implications and directions for future research and practice.     

安全情报概念的由来、演进趋势及涵义——来自安全科学学理角度的思辨

[目的/意义]安全问题是当前国家、政府、企业、社会、大众及学界广泛关注的一个重要现实问题，而安全情报是保障安全的必用之宝，故安全情报研究具有十分重要的理论与现实意义。[方法/过程]运用文献分析法和思辨法，从安全科学学理角度出发，论证基于安全科学视角解读与界定安全情报概念的必要性、重要性与紧迫性，探讨安全情报概念的由来与演进趋势，并分析安全情报的涵义。[结果/结论]从安全科学学理角度看，从安全信息到安全情报的安全管理新认识是提出安全情报概念的根本动力，安全情报概念的总体演进趋势是从分散到统一。同时，从系统安全学角度看，安全情报是指所有影响系统安全行为的安全信息。     

Managing What We Can Measure: Quantifying the Susceptibility of Automated Scoring Systems to Gaming Behavior

As methods for automated scoring of constructed‐response items become more widely adopted in state assessments, and are used in more consequential operational configurations, it is critical that their susceptibility to gaming behavior be investigated and managed. This article provides a review of research relevant to how construct‐irrelevant response behavior may affect automated constructed‐response scoring, and aims to address a gap in that literature: the need to assess the degree of risk before operational launch. A general framework is proposed for evaluating susceptibility to gaming, and an initial empirical demonstration is presented using the open‐source short‐answer scoring engines from the Automated Student Assessment Prize (ASAP) Challenge.