• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Science in Information Technology >Knowledge Management System (KMS) readiness level based on group areas of expertise to improve science education and computer science quality (cross-fertilization principle) (Case study: Computer science program course FPMIPA UPI)
【24h】

Knowledge Management System (KMS) readiness level based on group areas of expertise to improve science education and computer science quality (cross-fertilization principle) (Case study: Computer science program course FPMIPA UPI)

机译：基于小组专业知识领域的知识管理系统（KMS）的准备水平，以提高科学教育和计算机科学的质量（交叉施肥原理）（案例研究：计算机科学课程FPMIPA UPI）

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Computer Science Education courses concentrate on the scientific education of computer science, while the Computer Science Program concentrates on computer science. Both of these study programs have a close relationship to complement and improve each other in the domain of science and education in the field of computer science (cross-fertilization principle). Knowledge management nowadays is still in concept level that hard to implement and still requires exploration and improvement to develop. Failure level in implementation of Knowledge Management System (KMS) high enough that should be measured with KMS Readiness Levels. This research uses analytical hierarchy process (AHP) weighting method and Aydin/Tasci scales to find out the research objective which is priority weighting from each of concepts that has been studied and to find out readiness category based on Aydin/Tasci Scale. The initial phase is to design a scale of measurement using AHP method with normalization weight and priority values as final results the next phase is to analyze the processing values using Aydin/Tasci Scale to see readiness scale of knowledge management system in computer science program. As measured from the readiness level of KMS are knowledge manager, technology and culture. Based on that, AHP weight values for each concept which chosen for this KMS readiness research in Computer Science Program. The highest score is 3.176 from culture dimension. Average value KMS readiness in Computer Science Program is 2,863 which means Computer Science Program is not ready yet for KMS implementation.
机译：计算机科学教育课程专注于计算机科学的科学教育，而计算机科学课程则专注于计算机科学。这两个学习计划在计算机科学领域（交叉受精原理）之间在科学和教育领域具有互补和相互补充的密切关系。如今，知识管理仍处于难以实施的概​​念级别，并且仍需要探索和改进才能发展。知识管理系统（KMS）实施中的故障级别足够高，应使用KMS准备级别进行衡量。本研究采用层次分析法（AHP）加权方法和Aydin / Tasci量表来确定研究目标，即从已研究的每个概念中优先权重，并根据Aydin / Tasci量表来确定准备就绪类别。初始阶段是使用AHP方法设计度量规模，并以归一化权重和优先级值作为最终结果。下一阶段是使用Aydin / Tasci规模分析处理值，以查看计算机科学程序中知识管理系统的准备规模。从KMS的就绪程度衡量，是知识管理者，技术和文化。基于此，为计算机科学计划中的KMS准备研究选择的每个概念的AHP权重值。从文化的角度来看，最高分是3.176。计算机科学计划中的KMS准备就绪平均值为2,863，这意味着计算机科学计划尚未准备好实施KMS。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号