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Based on three research articles from computer science about algorithmic bias we develop technocritical mathematics education (TCME) innovations that allow students to relate critically to technologies in their surroundings. We present an adapted version of Gagliardi et al.’s (2011) implementability framework to fit the context of mathematics education and based on this framework, we present an approach to maximize the implementability of TCME innovations. Further, we identify adapters’ preliminary post-implementation views of such innovations’ implementability through observations and teacher interviews in a small-scale implementation context.
The impact sheet to this article can be accessed at https://doi.org/10.1163/26670127-bja10034 under Supplementary Materials.
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| Insgesamt | Letzte 365 Tage | In den letzten 30 Tagen | |
|---|---|---|---|
| Aufrufe von Kurzbeschreibungen | 56 | 56 | 32 |
| Gesamttextansichten | 14 | 14 | 8 |
| PDF-Downloads | 29 | 29 | 22 |
Based on three research articles from computer science about algorithmic bias we develop technocritical mathematics education (TCME) innovations that allow students to relate critically to technologies in their surroundings. We present an adapted version of Gagliardi et al.’s (2011) implementability framework to fit the context of mathematics education and based on this framework, we present an approach to maximize the implementability of TCME innovations. Further, we identify adapters’ preliminary post-implementation views of such innovations’ implementability through observations and teacher interviews in a small-scale implementation context.
The impact sheet to this article can be accessed at https://doi.org/10.1163/26670127-bja10034 under Supplementary Materials.
| Insgesamt | Letzte 365 Tage | In den letzten 30 Tagen | |
|---|---|---|---|
| Aufrufe von Kurzbeschreibungen | 56 | 56 | 32 |
| Gesamttextansichten | 14 | 14 | 8 |
| PDF-Downloads | 29 | 29 | 22 |