The promise and peril of Coding & Robotics education in South Africa: A scoping review of teacher preparation and generative artificial intelligence’s potential for delivering equity
Integrating the Coding & Robotics (C&R) subject in South African schools signifies the nation’s commitment to Fourth Industrial Revolution preparedness. However, challenges like inadequate teacher preparation and limited technological infrastructure must be addressed to ensure equity. Althou...
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| Vydané v: | Journal of education (Durban) Ročník 2024; číslo 96; s. 140 - 164 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
University of KwaZulu-Natal
12.11.2024
University of KwaZulu-Natal on behalf of the South African Education Research Association |
| Predmet: | |
| ISSN: | 0259-479X, 2520-9868, 2520-9868 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Integrating the Coding & Robotics (C&R) subject in South African schools signifies the nation’s commitment to Fourth Industrial Revolution preparedness. However, challenges like inadequate teacher preparation and limited technological infrastructure must be addressed to ensure equity. Although Generative Artificial Intelligence (GenAI) may not address the infrastructural deficiencies directly, in this scoping review we examine its potential to complement existing resources and support teachers in delivering C&R instruction. Following Arksey and O’Malley’s framework, we conducted a systematic literature search in numerous databases, followed by a screening procedure: 10 of the 61 eligible papers satisfied the inclusion criteria. Our findings reveal that GenAI can optimise C&R teacher development through personalised learning, content generation, feedback on teaching methods, and fostering collaboration with other teachers. Despite its potential, issues including equity, ethical concerns, technological fluency gaps, and overreliance on GenAI tools, must be navigated to enhance equitable C&R instruction and prepare learners for the digital era. |
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| ISSN: | 0259-479X 2520-9868 2520-9868 |
| DOI: | 10.17159/2520-9868/i96a08 |