Visualising and examining sequential actions as behavioural paths that can be interpreted as markers of complex behaviours
Visualising and examining sequential actions as behavioural paths that can be interpreted as markers of complex behaviours
复制标题
将顺序动作可视化并检查为可以解释为复杂行为标记的行为路径
DOI：
10.1016/j.chb.2017.01.027
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Nafisa Awwal
中科院分区：
文献类型：
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作者：
Alvin Vista;E. Care;Nafisa Awwal
学生通过解决问题的环境所采取的途径的可视化提供了识别可能与不同水平的熟练程度或不同的认知方法的探索性行为的模式的潜力。特别是当问题位于复杂的在线环境中，并被编程为生成大规模的数据进行分析的情况下，使用过程数据从一个在线协作解决问题的任务，我们可视化的行为路径的607对学生的有向图。然后使用基于四个主要探索方面（突出，分支，集群和最短路径）的探索性网络分析来检查经验路径，这种分析的主要目的是检测潜在相关的序列，以建立特定的路径作为复杂行为的有意义的标记。这种可视化方法使我们能够从数据中捕获所有实际（而不是可能的）途径。虽然根据效率或正确解决方案等标准，可能存在通过复杂任务的最佳途径，但添加的人为因素为活动带来了动态，为理解学生的协作过程提供了更丰富的环境，包括认知和社交。本研究采用的方法为探索其他复杂技能提供了原型。
Visualisation of pathways taken by students through problem solving environments provides the potential to identify patterns of exploratory behaviour that may relate to different levels of proficiency or different cognitive approaches. This is particularly the case when problems are situated in complex online environments and are programmed to generate large scale data for analysis.Using process data from an online collaborative problem solving task, we visualised behavioural paths of 607 pairs of students as directed graphs. The empirical paths were then examined using exploratory network analysis based on four main aspects of exploration (prominence, branches, clusters, and shortest paths).The primary purpose of such analysis is to detect sequences that are potentially relevant for establishing particular paths as meaningful markers of complex behaviours. This visualisation approach enabled us to capture allactual(as opposed topossible) pathways from the data. Although there may be an optimal pathway through a complex task according to criteria such as efficiency or correct solution, the added human factors bring a dynamic to the activity that provides a richer environment for understanding students’ collaborative processes, both cognitive and social. The method adopted in this study provides a prototype for exploration of other complex skillsets.