摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者来自美国墨尔本的新闻报道，研究表明，"混合学习策略将面对面的教学与在线组件相结合，使用学习管理系统(LMSs)作为教育资源的关键平台"。我们的新闻记者从梅尔伯恩大学的研究中获得了一句话：“在翻转课堂这样的策略中，学生需要遵循一条特定的学习路径，在课前完成LMS的某些活动。这包括观看视频，完成阅读和测验。”在课堂上准备动手练习。学生对HIS方法的持续参与对于成功至关重要-但在有数百人注册的大型课程中，监控这种参与是一项复杂的任务。本文利用LMS中收集的数据，提出了一种检测混合学习环境中学生参与的重大变化的方法。该方法使用Process Mini NG(PM)，一系列工具和技术，通过过程镜头分析数据，比较学生在两对学习窗口之间的学习路径（例如，一学期的周数）。使用包含194名学生在整个学期中超过26000次互动的真实事件日志，研究结果证明了该方法检测学生参与度随时间变化的能力。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Melbourne, A ustralia, by NewsRx correspondents, research stated, “Hybrid learning strategies blend face-to-face instruction with online components, using Learning Managemen t Systems (LMSs) as key platforms for educational resources.” Our news correspondents obtained a quote from the research from University of Me lbourne: “In strategies like the flipped classroom, students need to follow a sp ecific learning pathway to complete certain activities in the LMS before class. This includes watching videos and completing readings and quizzes, to prepare fo r hands-on exercises during classroom time. Consistent student engagement with t his approach is vital for success - but in large subjects with hundreds of enrol ments, monitoring that engagement is a complex task. Using the data collected in an LMS, this paper presents an approach for detecting significant changes in st udent engagement in hybrid learning environments. The approach uses Process Mini ng (PM), a family of tools and techniques to analyze data through a process lens , to compare students’ learning pathways between pairs of learning windows (e.g. , weeks in a semester). Using a real-life event log containing more than 26,000 interactions of 194 students over a full semester, the findings demonstrate the approach’s ability to detect changes in student engagement over time.”
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