Macrostructural processing of text to enhance reading comprehension of Chemistry-Related Texts: Harnessing the Power of Concept Maps

Authors

  • Danilo L Ariza-Rúa Universidad Tecnologica de Bolivar, Colombia, Colombia
  • Carolina Rubiano-Labrador Universidad Tecnológica de Bolívar, Colombia; Associated researcher of Colombian Antarctic Program, Colombian Commission of the Ocean, Colombia.
  • Humberto Marbello-Peña Universidad Tecnologica de Bolivar, Colombia, Colombia
  • María José González-Campo Universidad Tecnologica de Bolivar, Colombia, Colombia
  • Julio Seferino Hurtado Marquez Universidad Tecnologica de Bolivar, Colombia, Colombia

DOI:

https://doi.org/10.18687/LACCEI2024.1.1.674

Keywords:

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-test

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Published

2024-07-27

License

Creative Commons License

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LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

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

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