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Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems

机译:微观提示:用于在线教育系统设计教学有效的分配免费微型讲究的策略

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Micro-lectures (MIL) help learners to learn using learning by doing (LBD) approach. Micro-lectures use assignments to implement LBD. Carefully crafted micro-lectures and their associated assignments induce learning curiosity in learners, resulting in improved learning quality. However, too many assignments deviate learners from learning resulting in the degraded learning quality. Thus, it is hard to manage the tradeoff between the number of micro-lectures and the number of associated assignments in online micro-lecturing, resulting in poor learning quality. This research is the answer to this problem. This research proposes a framework which uses micro-prompts for crafting micro-lectures. Micro-prompts’ purpose is to embed assignment elements in the micro-lectures body. This coerces learners to cover assignment elements during the micro-lecturing process, hence eliminating/reducing the need for external assignments resulting in improved learning quality. To prove our proposed framework’s validity, we conducted a fifteen-days long C programming course for beginners. We lectured them with micro-prompt embedded micro-lectures designed using our proposed framework and observed fantastic results. This paper presents these results. We believe that study of this kind helps online educators to design effective learning ecosystem.
机译:微型讲座(MIL)帮助学习者通过执行(LBD)方法来学习使用学习。微型讲座使用分配来实现LBD。精心制作的微型讲座及其相关作业在学习者中诱导学习好奇心,从而提高学习质量。但是,太多的作业偏离了学习者的学习,从而导致学习质量退化。因此,很难管理在线微观讲座的微型讲义数量和相关分配的数量之间的权衡,导致学习质量差。这项研究是解决这个问题的答案。本研究提出了一种使用微量提示来制备微型讲座的框架。微量提示的目的是将分配元素嵌入微型讲座身体中。这将学习者涵盖微讲过程中的分配元素,因此消除/减少对外部分配的需求,从而提高了学习质量。为了证明我们提出的框架有效性,我们为初学者进行了一条十五天长的C编程课程。我们用微量提示嵌入式微型讲座使用我们提出的框架设计并观察到了梦幻般的结果。本文提出了这些结果。我们认为,这种研究有助于在线教育者设计有效的学习生态系统。

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