While technology has helped improve process efficiency in several domains, it still has an outstanding debt to education. In this article, we introduce NAIRA, a Multimodal Learning Analytics platform that provides Real-Time Feedback to foster collaborative learning activities’ efficiency. NAIRA provides real-time visualizations for students’ verbal interactions when working in groups, allowing teachers to perform precise interventions to ensure learning activities’ correct execution. We present a case study with 24 undergraduate subjects performing a remote collaborative learning activity based on the Jigsaw learning technique within the COVID-19 pandemic context. The main goals of the study are (1) to qualitatively describe how the teacher used NAIRA’s visualizations to perform interventions and (2) to identify quantitative differences in the number and time between students’ spoken interactions among two different stages of the activity, one of them supported by NAIRA’s visualizations. The case study showed that NAIRA allowed the teacher to monitor and facilitate the learning activity’s supervised stage execution, even in a remote learning context, with students working in separate virtual classrooms with their video cameras off. The quantitative comparison of spoken interactions suggests the existence of differences in the distribution between the monitored and unmonitored stages of the activity, with a more homogeneous speaking time distribution in the NAIRA supported stage.

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Incorporating technologies to support the monitoring, evaluation, and feedback of soft skills attracts great attention in the scientific community. For a team to have a good performance and manage itself, it can be helpful to identify the behavioral characteristics and social interactions established between its members. Here, we explore the relationships between Belbin's behavioral roles, affinity sociograms, and audio interactions collected by the Naira multimodal analysis platform. We present a case study with university students designing with the Lego Serious Play methodology and incorporating agile practices that would stimulate collaborative work. The results are promising, allowing us to define new research hypotheses that will serve as guidelines for future work. The findings indicate that the Naira platform would enable us to recognize behavioral traces for the Social and Action natural roles.

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La analítica del aprendizaje refiere a la recolección, medición, análisis y reporte de datos provenientes de personas en entornos de aprendizaje. Usualmente busca mejorar procesos de aprendizaje en interacciones humano-computador. La analítica multimodal del aprendizaje amplía el enfoque a interacciones humano-humano, mediante datos provenientes de sensores. Los avances tecnológicos y la mayor demanda de trabajadores con habilidades profesionales diversas, tales como liderazgo o capacidad de trabajar en equipo, han aumentado las investigaciones en esta área en los últimos años. Chile es el país latinoamericano con mayor crecimiento en investigación y desarrollo en esta línea en los últimos cinco años. Este trabajo presenta una revisión sistemática de los avances en analítica multimodal realizados en Chile, desde el punto de vista de las modalidades consideradas (e.g., imagen, audio, vídeo) y los tipos de sensores usados para medirlas, los tipos de actividades empleadas, técnicas de análisis, productos obtenidos, y redes de colaboración existentes. Nuestro objetivo es entregar una visión amplia y actualizada del estado del arte de la analítica multimodal del aprendizaje en Chile, como actor relevante en esta línea a nivel latinoamericano.