Affiliation:
1. University of Lodz, Poland
Abstract
This study investigated gender representation in English textbooks from Classes 6 to 10 in Bangladesh, using corpus analysis. AntConc, a textual analysis tool, was used to quantify the occurrence of gender-related lexical items in resources. The corpus comprises approximately 147,698 tokens distributed across the four textbooks. The results revealed significant disparities in the distribution of male- and female-associated lexical items. Here, male-related words occurred 1,958 times (1.33 %), whereas female-related words occurred 1,165 times (0.79 %). The highest imbalance ratio (0.94 %) was found in textbooks of class 6 having male represented words (1.95%) and female represented words (1.01%). This male-dominated gender disproportion appeared in the other three textbooks at different ratios, which may reflect Bangladesh’s cultural and societal norms. These distinctive and male-centred gender-biased textbooks may have an impact on students’ perceptions of gender roles and societal expectations. The findings of this corpus analysis predict how much textbook content may affect female students’ sense of inclusion and their collective consciousness of gender rights. Finally, it recommends ensuring gender equality and inclusion in the textbooks.
Publisher
Konstantin Preslavsky University of Shumen