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ERIC Number: EJ1443783
Record Type: Journal
Publication Date: 2024
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2053-535X
EISSN: N/A
Applying the Anthropological Theory of Didactics to Enhance a Multicultural Approach to Statistics Education for Engineering Students
José Luis Díaz Palencia
Journal for Multicultural Education, v18 n4 p435-446 2024
Purpose: This work aims to introduce basic principles of the Anthropological Theory of Didactics applied to enhance the multicultural sensitivity in engineering statistics classroom. The approach emphasizes understanding learners' socio-cultural backgrounds to tailor educational practices that resonate more effectively with engineering students. Design/methodology/approach: This paper examines the application of the Anthropological Theory of Didactics within the context of statistics education for engineering students. This study aims to explore how integrating socio-cultural dimensions of learning can make teaching statistics more effective and engaging. Findings: The application of the Anthropological Theory of Didactics reveals significant potential for enhancing the educational experience in statistics. By acknowledging and incorporating the diverse cultural perspectives of students, educators can develop teaching methods that are not only more inclusive but also more engaging. This methodology encourages a deeper connection between statistical concepts and engineering practices, aiding in the conceptualization of statistics among future engineers. Originality/value: The paper contributes to the field by providing concrete activities and pedagogical strategies that use the Anthropological Theory of Didactics in a novel context. These activities are designed to foster a better integration of statistical education with engineering, highlighting the theory's versatility and its relevance to modern educational challenges. This innovative approach promises to enhance how statistics is taught to engineering students, potentially leading to more profound educational outcomes and a stronger grasp of statistical applications in engineering.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A