Repertoire of practice: Reconceptualizing instructor competency in contemporary adventure education

Abstract

Historically, adventure educators have used the metaphor of hard and soft skills to understand their practice: hard skills representing technical competencies, and soft skills representing interpersonal competencies. In light of current research and in the face of increasingly complex varieties of adventure practice, the categorization of skills into “hard” or “soft” may obscure important aspects of experiential learning and limit the development of an effective pedagogy for adventure education. This paper interrogates the hard/soft metaphor from various perspectives and offers “repertoire of practice” (Wenger, 1998) as a possible framework to further discuss instruction and learning in contemporary adventure education. ‘What we have learned to see something as, becomes in turn, the guide to our outward practical activity’. (Wartofsky, 1979, p. 207)     

认知水平与计算思维间的隐含关系挖掘--基于编程行为表征视角

随着人工智能时代的来临,编程教育日益受到重视。学生在编程过程中的行为,实质上反映了其对利用计算工具解决问题的认知水平,也映射出其计算思维的发展过程,挖掘三者间的隐含关系有助于通过优化编程任务设计改善对学生计算思维的培养。基于认知目标分类和计算思维三维框架构建映射关系,以Scratch可视化编程任务作为研究案例,采用编程操作视频分析与学生访谈相结合的方法,从编程行为表征的视角对认知水平与计算思维间的隐含关系进行挖掘后发现:一方面,认知水平与编程行为之间存在密切关系,知道与理解是编程行为的基础性认知,应用与分析是编程行为的核心,评价推动学生对编程行为的反思,而创造可激发编程行为产生新的作品。另一方面,在编程活动中,学生的认知水平与计算思维的发展彼此关联且相互促进,编程行为中的低阶认知目标的达成是形成计算观念的基础,编程实践引发的高阶思维认知需求可促进学生对计算思维的领悟。因此,应当遵循认知水平与计算思维的发展规律,有针对性地将面向各类认知目标的编程任务嵌入到教学设计中,方可有效实现利用编程教育对学生计算思维的培养。     

An assessment of customers’ e-service quality perception,satisfaction and intention

This study examines the dimensions of web service quality based on e-customer's, expectations and perceptions. We develop operationalized web service quality constructs, and analyze, their relationships with customer satisfaction and behavioral intentions in an e-business environment. The three identified dimensions of web service quality are perceived risk, web content and service, convenience. One of the major findings of this study is that although less perceived risk may lead to a favorable perception of web service quality, it does not necessarily translate to customer satisfaction, or positive behavioral intentions. Individual PC skill sets may affect perception of service convenience, but seems to have no influence on how customers assess web service quality, customer satisfaction or, behavioral intentions to use the e-service. The indirect or mediating influence of satisfaction on web, service quality and behavioral intentions is indeed stronger than the direct influence of web service, quality on behavioral intentions.     

Assessing behavioral data science privacy issues in government artificial intelligence deployment

In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research.     

面向高技能竞赛的“赛教习”协同培养模式研究

围绕常规教学、岗位实习、竞赛集训三种手段对培养高技能竞赛人才的作用,以及三者之间的协同运用方式,构建"赛教习"协同高技能竞赛选手的有效培养模式。该模式实施需要做好高水平技能竞赛人才要素分析与评价体系构建、"赛教习"协同专业人才培养方案(含学分互换)实施、基于"赛教习"协同的高技能培养工作室(工匠工坊)构建、"赛教习"高技能人才培养实证反馈修正等工作。全国职业院校技能大赛"云计算技术与应用"赛项的人才培养实践表明,该模式是有效的。