Bayesian Approach to Analyze Reading Comprehension: A Case Study in Elementary School Children in Mexico

In the educational field, reading comprehension is connected to learning achievement, and through it, one can interpret, retain, organize and value what has been read. It is an essential ability for the understanding and processing of information in learning. Furthermore, it is an essential skill to...

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Bibliographic Details
Published in:Sustainability 2021-04, Vol.13 (8), p.4285
Main Authors: Rodriguez-Barrios, Ernesto U., Melendez-Armenta, Roberto Angel, Garcia-Aburto, Sandra G., Lavoignet-Ruiz, Marieli, Sandoval-Herazo, Luis Carlos, Molina-Navarro, Antonio, Morales-Rosales, Luis Alberto
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Bayesian analysis
Biodiversity
Climate change
Cognitive style
Education
Educational technology
Elementary schools
Environmental education
Information processing
Knowledge
Language
Learning
Motivation
Natural disasters
Pedagogy
Poverty
Reading comprehension
Risk management
Risk reduction
Students
Sustainability
Sustainable development
Sustainable use
Teaching
Variables
Citations: Items that this one cites
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Summary:In the educational field, reading comprehension is connected to learning achievement, and through it, one can interpret, retain, organize and value what has been read. It is an essential ability for the understanding and processing of information in learning. Furthermore, it is an essential skill to developing sustainable education. In this sense, sustainable development needs an advanced reading comprehension ability at elementary school in order to teach and learn future knowledge areas such as climate change, disaster risk reduction, biodiversity, poverty reduction, and sustainable consumption. Nevertheless, there have been few works focused on analyzing reading comprehension, particularly in Mexico, where the reference is the Programme for International Student Assessment (PISA) test on how well the Mexican students have developed this skill. Hence, this article shows the usefulness of employing Bayesian techniques in the analysis of reading comprehension at elementary school. The Bayesian network model allows for the determination of the language and communication level of achievement based on parameters such as learning style, learning pace, speed, and reading comprehension, obtaining an 85.36% precision. Moreover, the results confirm that teachers could determine changes in lesson planning and implement new pedagogical mechanisms to improve the level of learning and understanding contents.
ISSN:2071-1050
2071-1050
DOI:10.3390/su13084285