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An interactive dynamic model for integrating knowledge management methods and knowledge sharing technology in a traditional classroom

机译:在传统教室中整合知识管理方法和知识共享技术的交互式动态模型

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collected during the learning process. Knowledge Management, an emerging area of Artificial Intelligence, encompasses identifying, mapping, and managing intellectual assets to generate new knowledge for competitive advantage and for sharing of technology. The Web-based model of knowledge management discussed here allows a diverse group of learners to progressively interact and participate in the learning process, providing non-threatening self-evaluation and just-in-time individualized feedback to the learners and efficient tracking and supervision tools to the instructor. CS1003, a required general education class provides an ideal application of this model as the course draws from a diverse body of students ranging from history to math majors and from freshmen to seniors. The instructional design of this course using the interactive dynamics of Knowledge Management includes (i) provision of course archives and relevant static information as a passive repository, (ii) Web Discussion Forums, electronic chats and email communication for active learning and continuous interaction, (iii) an intelligent self-evaluation and grade reporting system for non-threatening self-testing and what-if analysis of performance, and (iv) a dynamic student feedback system including individualized supervision and anonymous feedback. Application of this instructionalprocess enhanced the goals of the course from mere computer literacy to what the 1999 NRC Report calls Fluency in Information Technology (FIT). Three kinds of knowledge requirements are identified for FIT: (1) Contemporary skills, (2) Foundational concepts, and (3) Intellectual capabilities. This model is broadly applicable to extend the benefits of traditional classroom instruction to focus diverse intellectual abilities and interests in a collaborative learning process. Formal and informal evaluation support this claim, demonstrating that the transition from purely traditional teaching to a high degree of technology fluency can be painless, efficient and effective in preparing the students for a technology intensive information age.
机译:在学习过程中收集。知识管理是人工智能的新兴领域,包括识别,映射和管理知识资产,以产生新知识,从而获得竞争优势和技术共享。此处讨论的基于Web的知识管理模型允许各种各样的学习者逐步互动并参与学习过程,向学习者提供无威胁的自我评估和及时的个性化反馈,以及有效的跟踪和监督工具给老师。 CS1003是必修的通识教育课程,它提供了该模型的理想应用,因为该课程吸引了从历史到数学专业以及从新生到高年级的各种各样的学生。本课程使用知识管理的互动动态进行教学设计,包括(i)提供课程档案和相关的静态信息作为被动资源库;(ii)网络讨论论坛,电子聊天和电子邮件交流,以进行主动学习和持续互动,( iii)一个智能的自我评估和成绩报告系统,可进行非威胁性的自我测试和假设分析,以及(iv)一个动态的学生反馈系统,包括个性化的监督和匿名反馈。该教学过程的应用将课程的目标从单纯的计算机读写能力提高到了1999年NRC报告所称的信息技术流利度(FIT)。确定了FIT的三种知识要求:(1)现代技能,(2)基本概念和(3)智力。该模型广泛适用于扩展传统课堂教学的好处,以在协作学习过程中集中各种智力和兴趣。正式和非正式的评估支持了这一主张,表明从纯传统的教学向高度的技术流利度的过渡可以无痛,有效且有效地帮助学生为技术密集的信息时代做准备。

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