Tailored program evaluation: Past, present, future

This paper discusses measurement issues related to the evaluation of computer-tailored health behavior change programs. As the first generation of commercially available tailored products is utilized in health promotion programming, programmers and researchers are becoming aware of the unique challenges that the evaluation of these programs presents. A project is presented that used an online tailored health behavior assessment (HBA) in a worksite setting. Process and outcome evaluation methods are described and include the challenges faced, and strategies proposed and implemented, for meeting them. Implications for future research in tailored program development, implementation, and evaluation are also discussed.     

注重双向交流提高学生的英语交际能力

通过双向式教学法的引进,把以教师为主的传统教学模式转变为以学生为中心的新模式,提高了学生的英语交际能力.     

Statistical Computing: History and Trends

The evolution of computers is currently in a period of rapid change, stimulated by radically cheaper and smaller devices for processing and memory. These changes are certain to provide major opportunities and challenges for the use of computers in statistics. This article looks at history and current trends, in both general computing and statistical computing, with the goal of identifying key features and requirements for the near future. A discussion of the S language developed at Bell Laboratories illustrates some program design principles that can make future work on statistical programs more effective and more valuable.     

Incorporating preference information in interactive reference point methods for multiobjective optimization

In this paper, we introduce new ways of utilizing preference information specified by the decision maker in interactive reference point based methods. A reference point consists of desirable values for each objective function. The idea is to take the desires of the decision maker into account more closely when projecting the reference point onto the set of nondominated solutions. In this way we can support the decision maker in finding the most satisfactory solutions faster. In practice, we adjust the weights in the achievement scalarizing function that projects the reference point. We identify different cases depending on the amount of additional information available and demonstrate the cases with examples. Finally, we summarize results of extensive computational tests that give evidence of the efficiency of the ideas proposed.     

炫目的艺术景观：新媒体与动漫艺术的耦合

"新媒体"是指一种诞生于新技术条件基础上的一种媒介形式。本文总结了新媒体相对于旧媒体的几种主要的变化,并进一步讨论了新媒体的到来对动漫艺术产生的影响,形成了炫目的艺术景观,进而总结了新媒体动漫的主要类型,并归纳出新媒体动漫的艺术特征:互动性、模糊性、平民性、分离性、沉浸感等。文章认为新媒体动漫艺术的深层意识形态是:它极大地加速了艺术的平民化过程,使艺术由少数特权阶层独享的专利品,变成了广大人民群众共享的精神财富,变成人人皆可参与、可以栖居的精神家园。     

湖湘本土文化的多维探源

湖湘文化是本土文化和外来文化的双重渊源而形成的交互文化。湖湘"本土文化"并非独立产生、存在的文化,而是由本土和外来多种区域文化之间交流互动的结果。从这个意义上说,并没有一个离开交互文化而独立存在的本土文化。因此,湖湘文化探源就是要从地域文化的交流互动中,多维地探讨湖湘文化的渊源。     

互动教学法在大学英语视听说教学中的应用

互动教学法是高校教学＂以学生为中心＂理念的一种体现,该教法强调师生互动,生生互动,同时也强调师生与教学内容的互动。大学英语视听说课程重视学生的英语视听和口头表达能力。通过分析与探讨互动教学法中三种互动模式在大学英语视听说课堂教学中的应用,讨论互动教学法应用的优势与注意事项,努力探寻提高大学英语视听说课堂教学效率的方法,进而结合学生的实际有效提高大学生英语视、听、说能力。     

To ITV or Not to ITV: A Comparison of Hybrid and Web-enhanced Approaches to Teaching a Macro-course in Human Behavior in the Social Environment

Hybrid education includes an online component and interaction between students and teacher by televised sound and image. This approach contrasts dramatically with traditional face-to-face teaching and classroom teaching modalities enhanced by Web-based tools. Should educators in “human behavior and the social environment” (HBSE) use hybrid technologies? This study explores the differences and similarities in student satisfaction and learning outcomes between a hybrid and a face-to-face Web-enhanced macro-course in HBSE. Results suggest that hybrid and Web-enhanced course delivery methods do not differently impact student learning. Students did report greater satisfaction with some but not all aspects of the hybrid sections.     

消费者持续满意度研究——基于快乐适应视角

从动态视角研究消费者满意是营销学研究的前沿问题.本文从快乐适应角度考察消费者如何在消费决策过程中获得持续的满意.问卷调查研究发现,尽管不同产品的满意度会随时间的延续下降,但剔除价格变动因素后,由于互动性产品给消费者带来的快乐更不易适应,满意度并未随时间发生明显改变;情感性产品给消费者带来满意容易适应,满意度随时间的推移明显下降;实用性产品并未给消费者带来明显的情感刺激,因此,消费者对这类产品的满意度相对比较稳定.根据快乐适应理论,商品的互动性带来的消费的不易适应性是影响持续满意度的主要因素.本研究的结论为消费者、厂商、政府部门在购买商品、生产产品和制定政策等方面提供建议.     

大数据背景下CPI预测问题的文本挖掘技术设计与应用

本文创新地将半监督交互式关键词提取算法词频-逆向文件频率( Term Frequency- Inverse Document Frequency, TF-IDF )与基于 Transformer 的 双 向 编 码 表 征 ( Bidirectional Encoder Representation from Transformers,BERT)模型相结合,设计出一种扩展CPI预测种子关键词的文本挖掘技术。采用交互式TF-IDF算法,对原始CPI预测种子关键词汇广度上进行扩展,在此基础上通过BERT“两段式”检索过滤模型深入挖掘文本信息并匹配关键词,实现CPI预测关键词深度上的扩展,从而构建了CPI预测的关键词库。在此基础上,本文进一步对文本挖掘技术特征扩展前后的关键词建立预测模型进行对比分析。研究表明,相比于传统的关键词提取算法,交互式TF-IDF算法不仅无需借助语料库,而且还允许种子词的输入。同时,BERT模型通过迁移学习的方式对基础模型进行微调,学习特定领域知识,在CPI预测问题中很好地实现了语言表征、语义拓展与人机交互。相对于传统文本挖掘技术,本文设计的文本挖掘技术具有较强的泛化表征能力,在84个CPI预测关键种子词的基础上,扩充后的关键词对CPI具有更高的预测准确度和更充分的解释性。本文针对CP 预测问题设计的文本挖掘技术,也为建立其他宏观经济指标关键词词库提供新的研究思路与参考价值。