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A blended learning lecture delivery model for large and diverse undergraduate cohorts

机译:适用于大型和不同类型本科生的混合式学习讲座交付模型

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摘要

A blended learning model was developed to enhance lecture delivery in a large, diverse introductory psychology unit, introducing the use of an online, personalized learning system for lecture preparation and using lecture time to extend students' understanding. Changes to the assessment included diagnostic, formative and summative online quizzes. Using hierarchical multiple regression to account for the variance associated with prior achievement and background knowledge, the results show that students who completed the online formative assessments had significantly higher scores on summative assessment tasks, and that scores were even higher for students who used these resources repeatedly. Changes to future implementations of the model are suggested to improve student engagement in formative assessment, and to facilitate lecturer's use of reports on student progress to focus and improve the quality of discussion in the face-to-face lectures.
机译:开发了一种混合学习模型以增强大型,多样化的入门心理学部门的授课能力,引入了使用在线个性化学习系统进行授课准备并利用授课时间来扩展学生的理解力的方法。评估的更改包括诊断性,形成性和汇总性在线测验。使用分层多元回归分析与先前成绩和背景知识相关的方差,结果表明,完成在线形成性评估的学生在总结性评估任务中的得分明显较高,而反复使用这些资源的学生的得分甚至更高。建议对模型的未来实现方式进行更改,以提高学生对形成性评估的参与度,并促进讲师使用有关学生进度的报告来集中精力并提高面对面讲座中的讨论质量。

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