Artificial Intelligence
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researches on reading comprehension using semantic mapping


Semantic mapping is a learning strategy that is used to help students better comprehend related concepts, gain a better understanding of a text or topic, and become better problem solvers. It is done by organizing information in a visualization such as a graphic organizer that visually connects one concept to another. It then helps readers make connections between the different concepts and understand them better. Research has found that the use of semantic mapping can help improve reading comprehension. Studies have demonstrated that students who used semantic mapping to study a text tend to have better understanding of the material. They also showed improved comprehension compared to students who used other strategies such as summarizing or retelling the text. It can be particularly effective for ELL students, as it helps them to make connections between the words they are learning and their native language. It also encourages them to think critically and to make sense of what they are reading. Other studies have shown that semantic mapping is also effective in helping students to make meaningful connections with complex text. It can help students to grasp the main idea and important details of a text while allowing them to create a visual representation of the information. This can help them better summarize, analyze, and explain the text in a meaningful way. Overall, research suggests that semantic mapping can be an effective strategy for improving reading comprehension. It has been found to be beneficial for both native and non-native English speakers alike, as it can help them to make more meaningful connections with a text and to better understand the material.