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首页> 外文期刊>Journal of STEM Education : Innovations and Research >A Tool for Assessing Student Learning in Computing Sciences Distance Education Classes
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A Tool for Assessing Student Learning in Computing Sciences Distance Education Classes

机译:评估计算机科学远程教育班学生学习的工具

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摘要

To promote STEM higher education, avenues such as distance education must be visited. Students in most of the distance-learning classes generate great amounts of textual messages for class interaction, discussion and assignments which take up most of instructor's time to respond and grade. Researches in distance learning and computer-aided grading have been well developed, but little work has been done to apply automated text process techniques to solve the problem of evaluating students' performance in virtual classrooms. This paper introduces a software application that features the assessment of student learning in distance education classes by analyzing online class messages. The assessment model is described and its implementation is discussed. Functionalities of the software for learning assessment are illustrated with examples. The result shows that the software application is a useful supplementary teaching tool. [PUBLICATION ABSTRACT]
机译:为了促进STEM高等教育,必须访问诸如远程教育之类的途径。大部分远程学习班的学生都会生成大量文本消息,用于课堂互动,讨论和作业,这占用了教师大部分时间进行响应和评分。远程学习和计算机辅助评分的研究已经得到了很好的发展,但是应用自动化文本处理技术来解决评估学生在虚拟教室中的表现的问题还很少。本文介绍了一种软件应用程序,该软件应用程序通过分析在线课程消息来评估远程教育课程中学生的学习情况。描述了评估模型并讨论了其实施。通过示例说明了用于学习评估的软件功能。结果表明,该软件应用程序是一种有用的辅助教学工具。 [出版物摘要]

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    Yi-fang Brook Wu Xin Chen;

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    Yi-fang Brook Wu and Xin ChenNew Jersey Institute of TechnologyYi-fang Brook Wu, Ph.D., is an Associate Professor in the Information Systems Department at New Jersey Institute of Technology. Her current research interests include: text mining, information extraction, knowledge organization, information retrieval, natural language processing and digital libraries. Her digital libraries projects have been supported by National Science Digital Libraries program at National Science Foundation, and Institute of Museum of Library Services. She is particularly interested in making educational resources more accessible to support digital library users.Xin Chen, Ph.D., is a Software Design Engineer II at Microsoft. His research interests are information retrieval, text mining and digital libraries. His research has been published in journals such as Journal of the American Society for Information Science and Technology, and Journal of Asynchronous Learning Networks, and also in proceedings of Knowledge Discovery and Data Mining (ACM KDD), and Conference on Information and Knowledge Management (ACM CIKM).;

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