Come possiamo farlo succedere? Dalla descrizione alla previsione negli ambienti di apprendimento on line

V. Tamborra, M. Baldassarre
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Abstract

This paper proposes a Learning Analytics approach aimed at the study of event-driven data coming from 18 courses activated within a Moodle platform concerning two categories: post-graduate training courses and courses activated in the context of larger research projects. The objective is to identify possible patterns of interaction on the part of users enrolled in the two course categories in order to give useful indications for aneffective Learning Design of future courses.The context of higher education, in particular the post-graduate one, is the field in which research on the field can find more fertile ground: training is often provided in e-learning mode, consistently with the need to make the training flexibly responding to the needs of an adult user, inserted in a context of lifelong learning.
我们如何做到这一点?从描述到在线学习环境中的预测
本文提出了一种学习分析方法,旨在研究事件驱动数据,这些数据来自Moodle平台上激活的18门课程,涉及两类:研究生培训课程和在大型研究项目背景下激活的课程。目的是确定在这两个课程类别中注册的用户可能的交互模式,以便为未来课程的有效学习设计提供有用的指示。高等教育,特别是研究生教育,是该领域的研究可以找到更肥沃土壤的领域:培训通常以电子学习模式提供,符合使培训灵活响应成人用户需求的需要,并插入终身学习的背景。
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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