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吕丽盼 《浙江教育学院学报》2016,(4):10-16
文化指示的实现是基于文化语境信息的客观存在。文化信息即表层信息、深层信息及核心层信息的客观存在,是文化语境信息在话语中实现指示的前提。文章以《纽约日报》(New York Daily News)和《今日美国》(USA Today)中的新闻受访人话语为分析语料,探讨了文化信息如何在当代美国文化共同体内成员话语中实现文化指示。结果表明,文化指示在话语中存在的客观性在一定程度上借助于文化信息的客观存在实现。 相似文献
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Funded by innovative programs at the National Science Foundation and the Howard Hughes Medical Institute, University of Richmond faculty in biology, chemistry, mathematics, physics, and computer science teamed up to offer first- and second-year students the opportunity to contribute to vibrant, interdisciplinary research projects. The result was not only good science but also good science that motivated and informed course development. Here, we describe four recent undergraduate research projects involving students and faculty in biology, physics, mathematics, and computer science and how each contributed in significant ways to the conception and implementation of our new Integrated Quantitative Science course, a course for first-year students that integrates the material in the first course of the major in each of biology, chemistry, mathematics, computer science, and physics. 相似文献
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通过对全日制普通高级中学教科书（必修）英语听力教材进行详细的统计和分析,发现教材中的内容安排、习题设计难度过大,教材缺乏连续性和系统性,没有针对性和专业性地指导学生全面提高英语听力水平等一系列问题。同时对这些问题进行了深入思考,并就新课改背景下高中英语听力教材的选材和改进提出建议。 相似文献
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Improving workplace-based assessment and feedback by an E-portfolio enhanced with learning analytics
Marieke van der Schaaf Jeroen Donkers Bert Slof Joyce Moonen-van Loon Jan van Tartwijk Eric Driessen Atta Badii Ovidiu Serban Olle Ten Cate 《Educational technology research and development : ETR & D》2017,65(2):359-380
Electronic portfolios (E-portfolios) are crucial means for workplace-based assessment and feedback. Although E-portfolios provide a useful approach to view each learner’s progress, so far options for personalized feedback and potential data about a learner’s performances at the workplace often remain unexploited. This paper advocates that E-portfolios enhanced with learning analytics, might increase the quality and efficiency of workplace-based feedback and assessment in professional education. Based on a 5-phased iterative design approach, an existing E-portfolio environment was enhanced with learning analytics in professional education. First, information about crucial professional activities for professional domains and suited assessment instruments were collected (phase 1). Thereafter probabilistic student models were defined (phase 2). Next, personalized feedback and visualization of the personal development over time were developed (phase 3). Then the prototype of the E-portfolio—including the student models and feedback and visualization modules—were implemented in professional training-programs (phase 4). Last, evaluation cycles took place and 121 students and 30 supervisors from five institutes for professional education evaluated the perceived usefulness of the design (phase 5). It was concluded that E-portfolios with learning analytics were perceived to assist the development of students’ professional competencies and that the design is only successful when developed and implemented through the eyes of the users. Feedback and assessment methods based upon learning analytics can stimulate learning at the workplace in the long run. Practical, technological and ethical challenges are discussed. 相似文献
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Ovidiu Șerban Nicholas Thapen Brendan Maginnis Chris Hankin Virginia Foot 《Information processing & management》2019,56(3):1166-1184
Interest in real-time syndromic surveillance based on social media data has greatly increased in recent years. The ability to detect disease outbreaks earlier than traditional methods would be highly useful for public health officials. This paper describes a software system which is built upon recent developments in machine learning and data processing to achieve this goal. The system is built from reusable modules integrated into data processing pipelines that are easily deployable and configurable. It applies deep learning to the problem of classifying health-related tweets and is able to do so with high accuracy. It has the capability to detect illness outbreaks from Twitter data and then to build up and display information about these outbreaks, including relevant news articles, to provide situational awareness. It also provides nowcasting functionality of current disease levels from previous clinical data combined with Twitter data.The preliminary results are promising, with the system being able to detect outbreaks of influenza-like illness symptoms which could then be confirmed by existing official sources. The Nowcasting module shows that using social media data can improve prediction for multiple diseases over simply using traditional data sources. 相似文献
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