Training flexible categorization to improve arithmetic problem solving: A school-based intervention with 5th graders

Autor: Eric iacono, Hippolyte Gros, Evelyne Clément
Přispěvatelé: Clément, Evelyne
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: HAL
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 44, iss 44
Popis: Because of its importance in academic achievement, especially in mathematics, training cognitive flexibility at school is a major issue. The present research investigates the effectiveness of a school-based intervention to improve proportion arithmetic problem solving. The study was conducted with 5th graders of 10 classes from 5 high-priority education schools in the Paris region. Students of the control and experimental groups took part in 8 learning sessions about proportion problem solving. The experimental group’s training focused on comparing and flexibly categorizing the problems in the hopes to help students achieve a deeper understanding of proportion problems. Results show that training flexible categorization allowed the experimental group to progress more than the control group, in both categorization and solving tasks. The educational implications of our results are discussed.
Databáze: OpenAIRE