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How Is AI Transforming Teachers' Roles in Low- and Middle-Income Countries?

Authors: Adam, Taskeen;

How Is AI Transforming Teachers' Roles in Low- and Middle-Income Countries?

Abstract

This learning brief is the third in a series of three on the impact of AI on teachers’ roles. It maps where AI use in low- and middle-income countries (LMICs) is beginning to, or has the potential to, fundamentally change and ‘transform’ teachers’ roles (Horizon 3). The use cases chosen for the ‘transform’ horizon fundamentally shift teachers’ practice and/or how they allocate their time. This horizon envisions a future where AI fundamentally transforms the educational landscape. Companion briefs focus on the extent to which AI can ‘upgrade’ (Horizon 1) and ‘disrupt’ (Horizon 2) teachers’ roles. By presenting AI integration in education along these horizons, we hope to make system shifts feel more navigable for educators. The brief covers three use cases regarding how AI is 'transforming' teachers' roles: AI-led learning environments; teacher–AI complementarity and hybrid intelligence; and a multi-intelligence learning ecology. For each use case, the brief describes the contextual challenges that teachers experience, the potential for AI to address these challenges, examples or evidence, and lastly, any risks or concerns that may arise from such use. Keywords: AI; Artificial Intelligence; teachers' roles; AI-led learning environments; hybrid intelligence; teacher–AI complementarity; multi-intelligence; risks An output of the EdTech Hub, https://edtechhub.org/

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green