高校艺术设计教育初探

艺术设计学科自身的综合性、复杂性体现出该学科教育的交叉性和独特性特质。然而当下艺术设计专业教育普遍存在的单一学科教育倾向已严重制约了这一学科的健康发展背景下。艺术设计需要全面素质的创造型人才,这就决定艺术设计教育必须与基础教育紧密配合,并拓宽学科视野的广度向培养具有思想张力的创造型人才的目标进发,使设计教育更好的适应现代设计的发展趋势。艺术设计专业教育多专业交叉、跨学科教育,就成了艺术设计专业教育发展与创新非常重要的命题。     

穆青“新闻三论”的内涵

穆青在他60年的新闻工作生涯中,采写出大量的新闻作品,报道了很多典型人物。在阅读和学习穆青的新闻作品时,无论是通讯、特写、游记甚至消息,都可以感受到他融文学手法于新闻写作的风格,与这种新闻写作风格相对应,穆青提出了著名的＂新闻三论＂。＂新闻三论＂即散文式新闻、视觉性新闻和实录性新闻,是穆青对我国新闻业务的重要贡献之一。穆青把文学手法贯穿在其一生的新闻实践中,形成了自己独特的风格。     

对旅游工艺品设计与制作专业教学的探讨——市场导向的专业教学

旅游工艺品是旅游业软环境的重要组成部分,有着巨大的收入弹性和创汇潜力,可挖掘的经济效益的潜力最大。但是,旅游工艺品开发行业出现滞后,刚刚设置的旅游工艺品设计专业尚处细化、完善阶段,许多旅游工艺艺术和技术仅是开发与整理期间,这都成为制约旅游业发展的＂软肋＂。     

关联翻译理论在文学翻译中的应用和探讨

翻译是两种文化之间的一种交际方式。古特提出的关联翻译理论对翻译过程进行了较为深入的研究和探讨。关联翻译理论认为翻译是一种过程,是认知原文主要部分的过程,是能够为译文读者提供最佳语境的过程,也是能将原文的明示和暗示意图忠诚的给予译文读者的过程。     

数学在现代经济社会的应用价值探讨

数学是一门古老而常新的具有高度抽象性和逻辑严谨性的学科,通过对数学所研究的算术、代数、几何、三角、解析几何、统计、概率论、微积分等内容及实践应用范围的探讨,阐述数学在现代经济社会发展的地位和作用,揭示数学的应用价值,提高人们学习数学的兴趣。     

网络课程的内容进化机制设计与技术实现

当前我国网络课程建设与应用普遍存在以下问题:课程内容结构封闭和更新迟缓,教学形式具有单向传递性;课程内容与学习活动在应用上的分离,影响学生主体地位的发挥;不同教学学期衔接或课程内容在不同教师间共享时,教学过程中的生成性资源存在丢失的现象。因此,探讨如何根据网络课程内容进化理念,提供相应的环境与机制,从而促进学习内容、教师及学生三者在网络教学过程中的交互,并通过积聚大众智慧来促进课程内容的动态发展,对于提高网络课程教学质量具有重要意义。     

问题导向促进在线学习者认知能力发展的研究

问题乃是通向理解之门.问题可以激发学习者的求知欲和探究欲,有利于推动教学的开展和促进学习者认知能力的发展.在线学习环境下为促进学习者认知能力的发展提供了丰富的认知工具和资源.但是,由于缺乏对教学问题导向作用的关注,在线课程在促进学习者认知能力发展方面存在着不理想之处,不能有效地引起认知上的深度理解.在文献研究和案例分析的基础上,综合分析了国内外问题导向在在线学习课程中的经验与不足,构建了问题导向促进学习者认知能力发展的在线学习框架和课程实例.在课程设计中提供了以问题为引导的情境体验和探究互动的机会,通过丰富的案例学习和认知支架,让学习者在问题解决过程中学会自主探究和深度思考,引导学习者从对知识的低水平认知层次逐渐向高水平认知层次发展.最后,为了验证问题导向在线课程对学习者认知发展的促进作用,采用实验调查等方法进行了实证研究.     

国家重点实验室网络影响力评价及实证研究

为衡量国家重点实验室在新时代背景下的网络媒体影响力,构建网络媒体影响力评价体系,以此分析国家重点实验室的网络媒体影响力水平。利用层次分析法构建国家重点实验室网络媒体影响力评价指标体系,并计算相应的权重系数,同时选取156所国家重点实验室进行实证研究。研究显示,国家重点实验室间的网络媒体影响力参差不齐,且大多数与第三方平台影响力水平同步;国家重点实验室在自主平台特别是微信和官网的利用上还有很大的提升空间。并据此建议积极与多类社交媒体建立联系、强化微信公众号的内容建设以及加强对官方网站的建设与维护等建议。     

Mobile users’ information privacy concerns and the role of app permission requests

Recent privacy-related incidents of mobile services have shown that app stores and providers face the challenge of mobile users’ information privacy concerns, which can prevent users from installing mobile apps or induce them to uninstall an app. In this paper, we investigate the role of app permission requests and compare the impact on privacy concerns with other antecedents of information privacy concerns, i.e., prior privacy experience, computer anxiety, and perceived control. To test these effects empirically, we conducted an online survey with 775 participants. Results of our structural equation modeling show that prior privacy experience, computer anxiety, and perceived control have significant effects on privacy concerns. However, concerns for app permission requests have approximately twice as much predictive value than the other factors put together to explain mobile users’ overall information privacy concerns. We expect that our findings can provide a theoretical contribution for future mobile privacy research as well as practical implications for app stores and providers.     

Cloud-based big data analytics for customer insight-driven design innovation in SMEs

Fast development of IT and ICT facilitate customers to post a large volume of their concerns and expectation online, which are widely accepted to be a valuable resource for product designers. However, it is found that only a small number of small and medium-sized enterprises (SMEs) have capabilities to leverage customer online insights for design innovation, which often demonstrate a significant share in national economies growth. To discover the beneath reasons regarding the barrier that prevent them to make effective utilization, in this study, as a concrete example, manufacturing SMEs in the South Wales and Greater Manchester industrial areas of the UK are focused and their potential motivations for using and knowledge of big data-based customer analytics are investigated. An exploratory survey was conducted in terms of the type of customer data they have, the storage approaches, the volume of customer data, etc. Next, a carefully devised exploratory study was undertaken to understand how SMEs perceive the relations between customer data and product design, how about their expectations from big customer data analytics and what really challenges SMEs to exploit the value of big customer data. Besides, a demonstration platform is developed to present SMEs an automatic process of analysing customer online reviews and the capacity on customer insights acquisition and strategic decision making. Finally, findings from two focus groups indicate the different managerial and technical considerations required for SMEs considering implementing big data and customer analytics. This study encourages SMEs to welcome big customer data and suggests that a cloud-based approach may be the most appropriate way of giving access to big data analytics techniques.