Macrostructural processing of text to enhance reading comprehension of Chemistry-Related Texts: Harnessing the Power of Concept Maps
DOI:
https://doi.org/10.18687/LACCEI2024.1.1.674Keywords:
macrostructural processing, reading comprehension, concept maps, chemistry-related texts.Abstract
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-testDownloads
Published
2024-07-27
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How to Cite
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