Algorithm literacy

Augustinus, M. (2022). What do we talk about when we talk about algorithmic literacy? A scoping review. (Masters dissertation). University of Boras. https://www.diva-portal.org/smash/get/diva2:1732027/FULLTEXT01.pdf. A useful review. 

Archambault, S.G. (2023). Toward a new framework for teaching algorithmic literacy. Information and Learning Sciences, (early online publication) https://doi.org/10.1108/ILS-07-2023-0090. This is not open access, so here is some more information:
"Eleven semistructured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. A content analysis was manually performed on the transcripts using a mixture of deductive and inductive coding. Data analysis was aided by the coding software program Dedoose (2021) to determine frequency totals for occurrences of a code across all participants along with how many times specific participants mentioned a code. Then, findings were organized around the three themes of knowledge components, coping behaviors and pedagogy. Findings: The findings suggested a set of 10 knowledge components that would contribute to students’ algorithmic literacy along with seven behaviors that students could use to help them better cope with algorithmic systems. A set of five teaching strategies also surfaced to help improve students’ algorithmic literacy."
The knowledge components were: Bias causes (what causes bias); Black box (understanding how much of algorithms was hidden);common misconceptions; algorithm strengths; machine learning vs rule based; key algorithmic operations; human-algorithm interplay; algorithmic reasing vs human reasoning; commodification; infrastructure.
The coping behaviours were: Recognise across domains in everyday life; privacy of personal data; folk theories; gaming the system; broader advocacy (becoming an activist in raising issues); critical evaluation; scepticism anarchy.
The pedagogogic strategies were: tactile (buildingalgorithms); data transparency tools; speculative futuring; perspective taking; expectancy violation.
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