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New possibilities for adaptive online learning in engineering education

机译:工程教育中自适应在线学习的新可能性

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Web mining aims to discover useful information or knowledge from the web hyperlink structure, page content and usage log. The “user-centered” philosophy of this tool is in perfect harmony with the concepts of modern marketing, ergonomics, and learning management. This new approach, as opposed to the traditional “page-centered” philosophy, puts the users' goals and intentions to the centre, and designs the services of the system accordingly. About 60 learners of technical teacher training took part simultaneously in processing the Educational technology and multimedia course, all their activities performed in Moodle learning environment were registered in a log file by the server. The processing of this log file was performed by the SPSS Web Mining for Clementine program. Here we are going to present the first results exposed by quality assurance in connection with the students' learning activity, the structure of the syllabus as well as the navigational opportunities. By analysis of student behavior we receive some beneficial information for course development and learning management which are applied in design of adaptive online learning in engineering education.
机译:Web挖掘旨在从Web超链接结构,页面内容和使用日志中发现有用的信息或知识。该工具的“以用户为中心”的理念与现代市场营销,人体工程学和学习管理的理念完美融合。与传统的“以页面为中心”的哲学相反,这种新方法将用户的目标和意图放在了中心,并相应地设计了系统的服务。大约60名技术教师培训的学习者同时参加了教育技术和多媒体课程的处理,他们在Moodle学习环境中进行的所有活动都由服务器记录在日志文件中。该日志文件的处理由SPSS Web Mining for Clementine程序执行。在这里,我们将展示与学生的学习活动,教学大纲的结构以及导航机会有关的质量保证所暴露的第一批结果。通过对学生行为的分析,我们获得了一些关于课程开发和学习管理的有益信息,这些信息被应用于工程教育中的自适应在线学习设计中。

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