Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students' Performance

The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of t...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-07, Vol.19 (14), p.3226
Main Authors: Fernández-Soriano, Francisco Luis, López, Belén, Martínez-España, Raquel, Muñoz, Andrés, Cantabella, Magdalena
Format: Article
Language:English
Subjects:
Adaptation
Adolescent
Child
Classrooms
Computation
Computer-Assisted Instruction - instrumentation
Computer-Assisted Instruction - methods
Computer-Assisted Instruction - statistics & numerical data
Computers
computing devices
Digital transformation
Educational technology
Elementary schools
Female
Higher education
Humans
Internet of Things
learning analytics
Learning Management System
Learning management systems
Male
New technology
Online instruction
primary and secondary education
Schools
Sensors
Smartphone
Software
Students
students’ performance
Teaching
Transformations
Usability
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Summary:The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of the educational community to adopt Learning Management Systems (LMS), where the digital contents replacing the traditional textbooks are exploited and managed. This article aims to study the relationship between the type of computing device from which students access the LMS and how affects their performance. To achieve this, the LMS accesses of students in a school comprising from elementary to bachelor's degree stages have been monitored by means of different computing devices acting as sensors to gather data such as the type of device and operating system used by the students.The main conclusion is that students who access the LMS improve significantly their performance and that the type of device and the operating system has an influence in the number of passed subjects. Moreover, a predictive model has been generated to predict the number of passed subjects according to these factors, showing promising results.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19143226