Advanced Sensors Technology in Education

Abstract

The topic presented will show how different kinds of sensors can help to improve our skills in learning environments. When we open the mind and let it take the control to be creative, we can think how a martial art would be improved with registered sensors, or how a person may dance with machines to improve their technique, or how you may improve your soccer kick for a penalties round. The use of sensors seems easy to imagine in these examples, but their use is not limited to these types of learning environments. Using depth cameras to detect patterns in oral presentations, or improving the assessment of agility through low cost-sensors with multimodal learning analytics, or using computing devices as sensors to measure their impact on primary and secondary students’ performances are the focus of this study as well. We hope readers will find original ideas that allow them to improve and advance in their own researches.

Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review

“…In addition to the sensors being the focus (i.e., content) of these competencies, sensors can shape the learning process, teaching learners, and simultaneously giving them experience (e.g., armband to measure proper hand washing via signal processing and ML) (Kutafina et al 2015 ). Learning analytics can be applied to cluster, depict, and process data to support a number of objectives (González-Crespo and Burgos 2019 ), since teachers need to reshape the course plan for different learners (e.g., styles, motivation, performance) and integrate that information with real-time analytical information to supervise, assess, adapt, and offer feedback. Sensors and wearables can be applied to a wide range of educational contexts, including but not limited to: learning management systems (LMS) or content management systems (CMS) that process user data collected studying relationships between type of device from which users access LMS and how it affects performance live or virtual reality (VR)-based sessions with teams or patients so oral and body language skills are shaped and improved game-based learning with virtual/augmented reality to improve procedures recommendations to users (e.g., explore impact of order given, behavioral response, impact of choices on engagement via algorithm) (Baldominos and Quintana 2019 ; Roque et al 2019 ) …”

Wearable Biosensor Technology in Education: A Systematic Review

“…Furthermore, integrating WBT into the existing educational infrastructure represents a multi-level challenge. It involves not only incorporating big data analysis methodologies and building environments that take advantage of WBT and adapt to the education type presented [ 136 , 137 , 138 , 139 ], but also addressing issues related to privacy and data security, as WBTs collect sensitive personal information [ 80 , 140 , 141 ]. Privacy and security issues are challenges that need to be considered; all biometric information must be obtained with the user’s consent and therefore must be included in the incorporation of privacy-protective solutions to assure the user that the information collected is secured [ 43 ].…”

Wearable Biosensor Technology in Education: A Systematic Review

“…Furthermore, integrating WBT into existing educational infrastructure represents a multi-level challenge. It involves not only incorporating big data analysis methodologies and building environments that take advantage of WBT and adapt to the education type presented [144][145][146][147], but also addressing issues related to privacy and data security, as WBTs collect sensitive personal information [82,148,149]. Privacy and security issues are challenges that need to be considered, all biometric information must be obtained with the user's consent and therefore must be included in the incorporation of privacy-protective solutions to ensure the user that the information collected is secured [43].…”