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将低成本传感器引入课堂环境:通过多模态学习分析改进敏捷实践中的评估。

Introducing Low-Cost Sensors into the Classroom Settings: Improving the Assessment in Agile Practices with Multimodal Learning Analytics.

作者信息

Cornide-Reyes Hector, Noël René, Riquelme Fabián, Gajardo Matías, Cechinel Cristian, Mac Lean Roberto, Becerra Carlos, Villarroel Rodolfo, Munoz Roberto

机构信息

Departamento de Ingenierá Informática y Ciencias de la Computación, Universidad de Atacama, 1531772 Atacama, Chile.

Escuela de Ingeniería Informática, Pontificia Unversidad Católica de Valparaíso, Valparaíso 2362807, Chile.

出版信息

Sensors (Basel). 2019 Jul 26;19(15):3291. doi: 10.3390/s19153291.

DOI:10.3390/s19153291
PMID:31357476
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6696001/
Abstract

Currently, the improvement of core skills appears as one of the most significant educational challenges of this century. However, assessing the development of such skills is still a challenge in real classroom environments. In this context, Multimodal Learning Analysis techniques appear as an attractive alternative to complement the development and evaluation of core skills. This article presents an exploratory study that analyzes the collaboration and communication of students in a Software Engineering course, who perform a learning activity simulating Scrum with Lego bricks. Data from the Scrum process was captured, and multidirectional microphones were used in the retrospective ceremonies. Social network analysis techniques were applied, and a correlational analysis was carried out with all the registered information. The results obtained allowed the detection of important relationships and characteristics of the collaborative and Non-Collaborative groups, with productivity, effort, and predominant personality styles in the groups. From all the above, we can conclude that the Multimodal Learning Analysis techniques offer considerable feasibilities to support the process of skills development in students.

摘要

目前,核心技能的提升似乎是本世纪最重大的教育挑战之一。然而,在实际课堂环境中评估这些技能的发展仍然是一项挑战。在此背景下,多模态学习分析技术成为补充核心技能发展与评估的一种有吸引力的选择。本文呈现了一项探索性研究,该研究分析了软件工程课程中通过用乐高积木模拟Scrum进行学习活动的学生的协作与沟通情况。捕捉了Scrum过程中的数据,并在回顾会议中使用了多向麦克风。应用了社交网络分析技术,并对所有记录的信息进行了相关性分析。所获得的结果能够检测出协作组和非协作组的重要关系及特征,以及各小组中的生产力、努力程度和主要性格类型。综上所述,我们可以得出结论,多模态学习分析技术为支持学生技能发展过程提供了相当大的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdbf/6696001/c9122932061e/sensors-19-03291-g013.jpg
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