Show simple item record

dc.contributor.authorKahenya, N. P.
dc.date.accessioned2026-10-16T11:16:15Z
dc.date.available2026-10-16T11:16:15Z
dc.date.issued2025
dc.identifier.isbn9798337387956
dc.identifier.uri10.4018/979-8-3373-8795-6.ch010
dc.identifier.urihttp://repository.anu.ac.ke/handle/123456789/1236
dc.descriptionThis book chapter is published by IGI Global Scientific Publishing. In book: Advancing Access to Digital Learning (pp.311-348).en_US
dc.description.abstractThe advancement of generative artificial intelligence (GenAI) presents a transformative opportunity to address educational inequalities in sub-Saharan Africa (SSA). The educational landscape is at the crossroads where strategic adoption of free and open GenAI could fundamentally transform learning equity. This chapter builds a case on how emerging openly accessible models are creating unprecedented opportunities that, if well utilized, can bridge educational gaps that plague this region. Unlike the proprietary systems, these openly accessible models may significantly lower deployment costs and offer adaptable architectures for low-resource environments that are synonymous with sub-Saharan Africa. The chapter outlines practical and actionable strategies, including policy reviews and formulation where none exist to including hybrid deployment systems combining offline AI capabilities. Teacher trainings that focus on prompt engineering with open-source tools and public-private partnerships to ensure sustainable implementation.. Kahenya, Paul. (2026). The Future of Learning: Openly Accessible Generative AI Models as a Catalyst for Educational Equity in Sub-Saharan African Countries. 10.4018/979-8-3373-8795-6.ch010. The advancement of generative artificial intelligence (GenAI) presents a transformative opportunity to address educational inequalities in sub-Saharan Africa (SSA). The educational landscape is at the crossroads where strategic adoption of free and open GenAI could fundamentally transform learning equity. This chapter builds a case on how emerging openly accessible models are creating unprecedented opportunities that, if well utilized, can bridge educational gaps that plague this region. Unlike the proprietary systems, these openly accessible models may significantly lower deployment costs and offer adaptable architectures for low-resource environments that are synonymous with sub-Saharan Africa. The chapter outlines practical and actionable strategies, including policy reviews and formulation where none exist to including hybrid deployment systems combining offline AI capabilities. Teacher trainings that focus on prompt engineering with open-source tools and public-private partnerships to ensure sustainable implementation.en_US
dc.language.isoenen_US
dc.publisherIGI Global scientific publishingen_US
dc.subjectThe Future of Learningen_US
dc.subjectOpenly Accessible Generative AI Modelsen_US
dc.subjectEducational Equityen_US
dc.subjectSub-Saharan African Countriesen_US
dc.titleThe Future of Learning: Openly Accessible Generative AI Models as a Catalyst for Educational Equity in Sub-Saharan African Countries in F. Williamsen_US
dc.title.alternativeIn book: Advancing Access to Digital Learning (pp.311-348)en_US
dc.typeBook chapteren_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record