Macrostructural processing of text to enhance reading comprehension of Chemistry-Related Texts: Harnessing the Power of Concept Maps
Danilo Lusbin Ariza Rúa, Carolina Rubiano-Labrador, Humberto Marbello-Peña, María José González-Campo, Julio Seferino Hurtado Márquez · 2024
In this work, we propose a macrostructural processing of texts to help freshmen chemical engineering students at the Universidad Tecnologica de Bolivar (Cartagena, Colombia) create concept maps to improve reading comprehension of chemistry-related texts.The study used a quasi-experimental approach, including pre-and post-tests, 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.