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Advanced Sensors Technology in Education.

Rubén González Crespo¹, Daniel Burgos²

¹Faculty of Engineering, Universidad Internacional de La Rioja, Av. de la Paz, 137, 26006 Logroño, La Rioja, Spain. ruben.gonzalez@unir.net.

Sensors (Basel, Switzerland)

|September 28, 2019

Summary

Sensors enhance learning environments by enabling skill improvement in diverse areas like martial arts, dance, and sports. This study explores innovative sensor applications for creative skill development and performance assessment.

Keywords:

ambient assisted living (AAL)augmented reality computing devices educational technologies signal processing

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Area of Science:

Educational Technology
Human-Computer Interaction
Learning Analytics

Background:

Traditional learning environments often lack objective skill assessment methods.
Creative skill development can be enhanced through novel technological interventions.
The integration of sensors offers new avenues for data-driven educational insights.

Discussion:

This study explores the application of various sensors, including depth cameras and computing devices, to analyze and improve skills in diverse learning contexts.
Examples range from martial arts and dance to sports performance and oral presentations.
The research investigates multimodal learning analytics for assessing agility and the impact of computing devices on student performance.

Key Insights:

Sensors provide objective data for skill acquisition and performance enhancement across various domains.
Multimodal learning analytics offer a sophisticated approach to assessing complex skills like agility.
Computing devices can serve as effective sensors to measure educational impact on students.

Outlook:

Future research can explore novel sensor modalities and advanced analytics for personalized learning.
Developing low-cost, accessible sensor solutions can democratize skill development tools.
The findings encourage interdisciplinary collaboration to innovate sensor-based educational technologies.