Machine Learning in Multicultural Education DOI
Dwi Mariyono

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Diversity unveiled: a critical analysis of geography textbooks and their global representation DOI Creative Commons

Leoni Dörfel,

Rieke Ammoneit, Carina Peter

et al.

International Research in Geographical and Environmental Education, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: July 1, 2024

Educational frameworks emphasize to students the importance of gaining differentiated worldviews and being open-minded toward other cultures. As a primary medium in class, textbooks should accurately represent diversity help develop intercultural awareness critical thinking. This study aims analyze geography textbooks' Hesse (Germany) on their representation dimensions across different countries continents using multidimensional approach superdiversity. For analysis, qualitative content analysis is initially conducted. Then, compared network analysis. Our findings reveal biased portrayal all continents, leading homogenization within teaching material. inconsistency contradicts curricular requirements Hessian suggests that textbook approval process not sufficiently rigorous ensuring standards are met.

Language: Английский

Citations

0

Machine Learning in Multicultural Education DOI
Dwi Mariyono

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0