
NARRATE
learNer Agency emeRgence thRough Algorithmic liTEracy
NARRATE explores the human–algorithm relationship in learning contexts — specifically, how learners develop algorithmic literacy and how that literacy shapes the conditions for agency. As algorithmic systems increasingly govern which content learners see, which assessments they receive, and which paths are recommended, the question of whether and how learners can exercise meaningful agency within these systems becomes urgent.
Supported By
Social Sciences and Humanities Research CouncilGuiding Questions
Research Questions
- 1
How does algorithmic literacy develop among learners in postdigital educational contexts?
- 2
What is the relationship between algorithmic literacy and the emergence of learner agency?
- 3
How do teacher professional competency frameworks address (or fail to address) algorithmic literacy?
Approach
Methods Overview
Systematic review and analysis of teacher professional digital competency frameworks across jurisdictions; qualitative interview study with learners and teachers; framework development for algorithmic literacy assessment.
Outputs
Publications
2026
Postdigital Learner Agency: Navigating Hybrid and Algorithmically Mediated Education
Code, J. (Ed.)
Springer Nature Switzerland
2025
2024
Algorithmic futures: An analysis of teacher professional digital competency frameworks
Moylan, R. & Code, J.
Teachers and Teaching, 30(4), 453–470
DOI →2020
Agency for learning: Intention, motivation, self-efficacy and self-regulation
Code, J.
Frontiers in Education, 5(19), 1–15
DOI →Explore the full research program
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