ASAP - Academic Support Aid Proposal for Student Recommendations

Silva, Gabriel Di iorio; Sergio, Wagno Leão; Ströele, Victor; Dantas, Mário A. R.

doi:10.1007/978-3-030-75075-6_4

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…It is also worth highlighting a previous study carried out through the simulation of student body data during the execution of various tests with the SIAFU tool [Di iorio Silva et al 2021]. This study was important to verify, through simulation, the relevance of body data and their changes and behaviors, considering the proposal's objective in that project.…”

Section: Body Sensors Data Studymentioning

confidence: 98%

A Technological Monitoring Architecture for Academics' Mental and Physical Health

Leão

Silva

Ströele

et al. 2022

Anais Do XXXIII Simpósio Brasileiro De Informática Na Educação (SBIE 2022)

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Educational institutions are moving to a hybrid model that allows onsite and online classes. Students and teachers must adapt to these changes in the teaching and learning routine, leading them to stress and anxiety moments. This work proposes an architecture to assist academics in detecting these stressful moments during daily activities. The proposal uses smart bands, machine learning algorithms, and a smartphone app for environment monitoring. The evaluation was conducted by collecting real data from heart rate spikes and enriching it using the location information to send recommendations. The results show that it is possible to identify stressful moments by respecting the academics environment by monitoring their routine.

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Section: Body Sensors Data Studymentioning

confidence: 98%