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Open AccessArticle

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

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Departamento de Ingeniería Informática y Ciencias de la Computación, Universidad de Atacama, Atacama 1531772, Chile
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Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, Chile
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Escuela de Ingeniería Civil Informática, Universidad de Valparaíso, Valparaíso 2362735, Chile
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Centro de Ciências, Tecnologias e Saúde, Universidade Federal de Santa Catarina, Araranguá 88906072, Brazil
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(15), 3291; https://doi.org/10.3390/s19153291
Received: 28 June 2019 / Revised: 23 July 2019 / Accepted: 24 July 2019 / Published: 26 July 2019
(This article belongs to the Special Issue Advanced Sensors Technology in Education)
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. View Full-Text
Keywords: collaboration; Multimodal Learning Analytics; Social Network Analysis; Collocated Collaboration Analytics collaboration; Multimodal Learning Analytics; Social Network Analysis; Collocated Collaboration Analytics
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Cornide-Reyes, H.; Noël, R.; Riquelme, F.; Gajardo, M.; Cechinel, C.; Mac Lean, R.; Becerra, C.; Villarroel, R.; Munoz, R. Introducing Low-Cost Sensors into the Classroom Settings: Improving the Assessment in Agile Practices with Multimodal Learning Analytics. Sensors 2019, 19, 3291.

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