Macrostructural processing of text to enhance reading comprehension of Chemistry-Related Texts: Harnessing the Power of Concept Maps
DOI:
https://doi.org/10.18687/LACCEI2024.1.1.674Palabras clave:
macrostructural processing, reading comprehension, concept maps, chemistry-related texts.Resumen
Abstract– In this work, we propose a macrostructural processing of texts to help first-year chemical engineering students at the Universidad Tecnologica de Bolivar (Cartagena, Colombia) create concept maps to improve reading comprehension of texts related to chemistry. The study used a quasi-experimental approach, including pre- and post-test, with two intact groups: one experimental group applied semantic structure characterization of chemistry texts and the other acted as a control group. Concept maps were created by both groups during the pre- and post-test. The results showed that a significant difference was only observed in the post-test
Descargas
Publicado
2024-07-27
Número
Sección
Articles
Derechos de autor
Derechos de autor 2024 LACCEI
Licencia
Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Ariza-Rúa, D. L., Rubiano-Labrador, C., Marbello-Peña, H., González-Campo, M. J., & Hurtado Marquez, J. S. (2024). Macrostructural processing of text to enhance reading comprehension of Chemistry-Related Texts: Harnessing the Power of Concept Maps. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.674