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

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