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Supporting learning in large classes: online formative assessment and automated feedback

机译:支持大班学习:在线形成性评估和自动反馈

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The provision of formative assessment and formative feedback is challenging for an educator working with large cohorts of students. To avoid being overwhelmed with the volume of work, appropriate technologies need to be selected to support learners and scale the module assessment and delivery to accommodate the size of the class. This paper presents the results of implemented online formative assessment delivery for a large postgraduate cohort of both full- and part-time students. We experimented with early and frequent student access to online formative assessment followed by immediate automated feedback. We review the impact of this assessment regime on student experience and achievement of learning outcomes. End-of-term student feedback indicates that frequent online quizzes, formative feedback and repetitive practicing were very well received by the students. We observe sustained levels of student engagement through data collected during student interaction with online module content and assessment. Analysis of the data has determined that the quizzes which had the highest number of attempts showed strong correlation with the highest student scores at the end-of-term exam. Such an experiment reflects how students learn via online content delivery and make use of available learning technologies for self-directing and practicing in computing subject. Frequent access to online formative assessment tool followed by immediate automated feedback helps to create effective learning environment and accommodate learners in large full-time and part-time classes.
机译:提供形成性评估和形成性反馈对于一个与大批学生合作的教育工作者来说是一个挑战。为了避免工作量过大,需要选择适当的技术来支持学习者,并根据班级规模调整模块评估和交付。本文介绍了对一大批全日制和非全日制研究生实施在线形成性评估的结果。我们尝试让学生尽早、频繁地进行在线形成性评估,然后立即进行自动反馈。我们回顾了这种评估制度对学生体验和学习成绩的影响。期末学生反馈表明,频繁的在线测验、形成性反馈和重复练习都得到了学生的好评。我们通过学生与在线模块内容和评估互动期间收集的数据,观察学生参与度的持续水平。对数据的分析已经确定,尝试次数最多的测验与期末考试中学生的最高分数有很强的相关性。这样的实验反映了学生如何通过在线内容交付学习,以及如何利用现有的学习技术在计算学科中进行自我指导和实践。经常使用在线形成性评估工具,然后立即进行自动反馈,有助于创造有效的学习环境,并适应大型全日制和非全日制课程的学习者。

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