Informing learning design through analytics: Applying network graph analysis
Informing learning design through analytics: Applying network graph analysis
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DOI：
10.14742/ajet.3767
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发表时间：
2018-01-01
影响因子：
4.1
通讯作者：
Dobozy, Eva
中科院分区：
文献类型：
--
作者：
Ifenthaler, Dirk;Gibson, David;Dobozy, Eva
传统上，学习设计被认为是在呈现学习体验或描述该活动之前发生的活动。随着近实时数据的出现以及在数字学习环境中代表学习者的决策和行动的新机会，学习设计者现在可以动态应用动态学习分析信息，以评估学习者特征、检查学习设计、分析学习材料和任务的有效性、调整难度级别以及衡量干预和反馈的影响。在包含 3550 名用户的案例研究中，导航序列和网络图分析展示了学习分析设计的潜在应用。基于案例研究的启示表明，将分析数据集成到学习环境的设计中是一种很有前途的方法。
Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply dynamic learning analytics information on the fly in order to evaluate learner characteristics, examine learning designs, analyse the effectiveness of learning materials and tasks, adjust difficulty levels, and measure the impact of interventions and feedback. In a case study with 3550 users, the navigation sequence and network graph analysis demonstrate a potential application of learning analytics design. Implications based on the case study show that integration of analytics data into the design of learning environments is a promising approach.