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Using learning analytics to evaluate a video-based lecture series

机译:使用学习分析来评估基于视频的讲义系列

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摘要

Background: The video-based lecture (VBL), an important component of the flipped classroom (FC) and massive open online course (MOOC) approaches to medical education, has primarily been evaluated through direct learner feedback. Evaluation may be enhanced through learner analytics (LA) - analysis of quantitative audience usage data generated by video-sharing platforms.Methods and results: We applied LA to an experimental series of ten VBLs on electroencephalography (EEG) interpretation, uploaded to YouTube in the model of a publicly accessible MOOC. Trends in view count; total percentage of video viewed and audience retention (AR) (percentage of viewers watching at a time point compared to the initial total) were examined. The pattern of average AR decline was characterized using regression analysis, revealing a uniform linear decline in viewership for each video, with no evidence of an optimal VBL length. Segments with transient increases in AR corresponded to those focused on core concepts, indicative of content requiring more detailed evaluation. We propose a model for applying LA at four levels: global, series, video, and feedback.Discussion and conclusions: LA may be a useful tool in evaluating a VBL series. Our proposed model combines analytics data and learner self-report for comprehensive evaluation.
机译:背景:基于视频的讲座(VBL),翻转课堂(FC)和大规模开放的在线课程(MOOC)医学教育方法,主要通过直接学习者反馈进行评估。通过学习者分析(LA)可以提高评估 - 通过视频共享平台生成的定量观众使用数据分析。公开可访问的MOOC的模型。趋势视图计数;检查了视频视图和观众保留(AR)的总百分比(与初始总量相比的时间点观看的观众的百分比)。使用回归分析,平均疫苗的模式表征,揭示每个视频的均匀线性下降,没有最佳VBL长度的证据。 AR中瞬态增加的段对应于聚焦核心概念的那些,这表明需要更详细的评估的内容。我们提出了一种在四个级别应用LA的模型:全球,系列,视频和反馈。探讨和结论:LA可以是评估VBL系列的有用工具。我们拟议的模型将分析数据和学习者自我报告结合了全面评估。

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  • 来源
    《Medical teacher》 |2018年第1期|共8页
  • 作者单位

    Massachusetts Gen Hosp Dept Neurol Boston MA 02114 USA;

    Yale Sch Med Dept Neurol 15 York St POB 208018 New Haven CT 06510 USA;

    Yale Sch Med Dept Teaching &

    Learning Ctr 15 York St POB 208018 New Haven CT 06510 USA;

    Yale Sch Med Dept Neurobiol 15 York St POB 208018 New Haven CT 06510 USA;

    Dalhousie Univ Div Neurol Dept Med Halifax NS Canada;

    Yale Sch Med Dept Neurol 15 York St POB 208018 New Haven CT 06510 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

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