IoTs for capturing and mastering massive data online learning courses

A. Njeru, Mwana Said Omar, Sun Yi
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引用次数: 8

Abstract

The rapid growth of educational data mining (EDM) is an emerging field in the academic world of research and studies focusing on collection, archiving, and analysis of data related to delivery methodology, quality of materials and student learning and assessment. The information analyzed informs the learning institution on how to improve learning experiences and how to run the institutional effectively. This paper explores the value of the Internet of Things (IoTs) in capturing and mastering massive data for online courses to assess and identify typical learning scenarios for learners. We hope this would be a useful instrumental tool to the range of approaches in education institutions to help their struggling learners to succeed in the academic field.
捕捉和掌握海量数据的物联网在线学习课程
教育数据挖掘(EDM)是学术界研究和研究的一个新兴领域,其重点是与交付方法、材料质量和学生学习和评估相关的数据的收集、存档和分析。所分析的信息为学习机构提供了如何改善学习体验和如何有效经营机构的信息。本文探讨了物联网(iot)在捕获和掌握在线课程的海量数据方面的价值,以评估和识别学习者的典型学习场景。我们希望这将是一个有用的工具,在教育机构的方法范围内,以帮助他们的苦苦挣扎的学习者在学术领域取得成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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