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Title: Data Fusion Insights on Indigenous-Serving Teachers’ Implementation of Culturally Responsive Computing
Indigenous communities remain among the most underrepresented groups in computing and STEM fields, facing systemic barriers to equitable participation in computer science (CS) education. This study examines how Indigenous-serving teachers, through a sustained professional development (PD) program, design and implement culturally responsive computing (CRC) curricula in Indigenous-serving schools. Guided by the research question: How does sustained CS professional development inform the design of culturally responsive computing curricula by experienced CS teachers in Indigenous-serving schools? We employed a natural language processing (NLP) data fusion approach that integrates text mining and qualitative thematic analysis to investigate how teachers incorporate Indigenous knowledge into computing instruction. Our findings reveal three emergent themes in teacher learning and lesson design: Creating opportunities to access culture through computation, Leveraging Research and Critical Thinking Skills to Critically Engage Students with Computing, and Reflection, refinement, and professional growth through ongoing collaboration. These themes underscore the impact of CRC on bridging cultural traditions with computing, fostering engagement, and enhancing Indigenous students’ sense of belonging in CS. By supporting teachers in developing culturally relevant lessons that integrate storytelling, traditional arts, and computational thinking, this research contributes to the broader discourse on inclusive CS education. This study informs future efforts to expand Indigenous student participation in computing by highlighting the role of culturally sustaining pedagogy in professional development and curriculum design.  more » « less
Award ID(s):
2246200
PAR ID:
10648746
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
LearnTechLib
Date Published:
Journal Name:
Journal of Technology and Teacher Education
Volume:
33
Issue:
1
ISSN:
1059-7069
Page Range / eLocation ID:
243 to 282
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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