内隐式负反馈对过渡语认知发展的影响研究

反馈在二语教学互动研究中占核心位置,是近些年课堂教学研究的热点之一。但由于反馈的实证性研究匮乏,相关研究的结论不一,一线教师无法从这些研究中获得开展课堂反馈的指导原则。利用课堂日记和录音转写对英语课堂反馈与过渡语认知发展的关系所进行的实验研究发现,负反馈更有助于学生的过渡语认知发展。其中,启发式和元语言反馈的修正性效果最好;重复性反馈、重铸和外显性负反馈的效果并不理想。研究结果表明,教师直接提供的修正性反馈对学生过渡语认知发展的作用不明显。研究还揭示了影响教师选择反馈方式和学生对教师反馈的感知的一些因素。     

英语专业精读课堂教师用语的实证研究

文章以话语分析理论为基础,通过实际的英语课堂教学观察及对收集数据的定量和定性分析,找出目前英语专业精读课堂教学存在的问题及原因,并提出英语教师课堂话语的改进建议与对策,以实现师生间的持续有效沟通,创设交互式课堂情景,激发学生学习英语的主动性。     

基于线性反馈方法的一类不含平方项混沌系统的同步

研究了一类不含平方项的混沌系统的同步控制,设计了一个非线性反馈控制器实现不同初值下该类混沌系统的同步.根据Lyapunov和Routh-Hurwitz稳定性理论证明了控制器的有效性.通过对Chen系统和Nadolschi系统的数值仿真验证了该方法.     

湿法脱硫中pH传感器的信号处理研究

在脱硫工艺中,浆液pH值的控制,关系到脱硫效率的高低。传统的pH值控制系统,具有pH信号反馈响应慢,控制调节浆液的pH值滞后于系统的工艺要求。通过对该问题的研究分析,提出了pH信号反馈采用前反馈控制设计,并据此初步设计了基于微处理芯片的pH信号处理的电路原理图,提高了pH信号反馈的响应速度,从而满足了电厂脱硫的工艺要求。     

反馈教学法在高校多媒体教学中的应用

研究在高校多媒体教学中应用反馈教学法的教学模式,提出构建多元反馈信道,收集学生教学反馈信息的一些方法,阐明提高多媒体教学质量的关键就是主动接受教学反馈信息,及时把反馈信息反映到课程教学中,并进一步优化多媒体课件。     

SP口头反馈对医学生OSCE成绩影响初探

方法:将考生随机分为两组,实验组先进入有SP反馈的长站,再进入没有SP反馈的短站;时照组先进没有SP反馈的短站,后进入有SP反馈的长站.同时使用问卷调查学生对SP反馈的正确性和帮助大小的看法.结果:对照组和实验组的SP短站成绩差异无显著性,第一SP长站和第二SP长站间的成绩差异有显著性.问卷调查结果显示,90%的学生积极评价SP反馈.结论:SP反馈有助于提高相同结构和相同任务站点的成绩,但对于不同结构不同任务站点的成绩影响还需要进行更严格的设计的研究.     

A network-based concept extraction for managing customer requests in a social media care context

Web 2.0 changed everyday life in many aspects, including the whole system that orbits around the purchase of products and services. This revolution necessarily involved also companies, because customers became increasingly demanding. The diffusion of social media platforms pushed customers to prefer this channel for quickly obtaining information and feedback about what they want to buy, as well as for asking help after the selling. In this framework, many organisations adopted a new way of providing assistance known as social customer care. A direct link to companies allows customers to obtain real-time solutions. In this paper, we introduce a new strategy for automatically managing the information listed in the requests that customers send to the social media accounts of companies. Our proposal relies on the use of network techniques for extracting high-level structures from texts, highlighting the different concepts expressed into the customers’ written requests. The texts can be then organised on the basis of this new emerging information. An application to the requests sent to the AppleSupport service on Twitter shows the effectiveness of the strategy.     

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.     

The role of social media in the engagement and information processes of social CRM

This study furthers investigation into exactly how Social CRM (S-CRM) is different from traditional CRM, and models the interrelationships between its capabilities. It is underpinned in dynamic capabilities theory, to explain how social media, as a resource all organizations use, can lead to differing performance outcomes. It is underpinned in seminal research into traditional CRM, but which does not cater for the disruptive nature of social media. We outline how S-CRM is a second-order dynamic capability consistng of a set of first-order integrative dynamic capabiliies that, when properly interrelated, lead to performance outcomes. We particularly model the role of S-CRM front- and back-office technology capabilities, customer engagement initiatives, and social information processes in driving customer relationship performance. Findings show that S-CRM is different from traditional CRM in a range of ways in the front- and back-offices, and provide a framework for researcher and managers in information systems and marketing to operate at strategic and tactical levels within S-CRM, while being congisant of both.     

黄土高原社会-生态系统变化及其可持续性

在全球变化和人类活动驱动下,社会系统与生态系统均处在不断加剧的动态变化中,揭示二者之间的互馈机制是保持和增强系统弹性以及可持续性的科学基础。黄土高原地区是中国人口、资源、环境矛盾最集中的区域之一,也是黄河重要的产水区和绝大部分泥沙的来源区。合理布局黄土高原土地利用格局,协调黄土高原水土保持和黄河下游水资源利用与泥沙控制,是黄土高原地区和黄河流域可持续发展的重大需求。本文立足于国际社会-生态系统耦合研究前沿和可持续发展与生态建设的国家需求,综述了区域社会系统与生态系统的互馈机制和社会-生态系统的耦合模拟的研究进展,总结了黄土高原社会-生态系统的变化过程和驱动机制,认为发展社会-生态系统动态机制分析方法和稳态转换识别方法,建立耦合社会系统与生态系统的土地利用权衡与优化模型,是推动社会-生态系统耦合研究理论与方法创新、为黄土高原的可持续发展提供科学依据的重要途径。