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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Bridging the Culturo-Techno-Contextual Approach, Artificial Intelligence, STEM and SDGs Divide through Teacher Empowerment

Authors: Abam, Solomon Onen;

Bridging the Culturo-Techno-Contextual Approach, Artificial Intelligence, STEM and SDGs Divide through Teacher Empowerment

Abstract

The convergence of artificial intelligence (AI), STEM education, and the United Nations sustainable development goals (SDGs) presents vast potential for equitable and transformative learning. However, a gap persists between technological innovation and culturally responsive pedagogy. The culturo-techno-contextual approach (CTCA) offers a framework that integrates culture, technology, and context to promote inclusivity and sustainability in classroom practice. This study examines the role of teachers as catalysts in linking AI-driven STEM education with the SDG agenda. Specifically, it explores how teacher empowerment influences AI-STEM pedagogy within the CTCA framework, how CTCA enhances contextual relevance, and what barriers and enablers affect teacher capacity in AI-STEM integration. Using a qualitative synthesis of recent literature (2020–2025) on AI in STEM, CTCA-based pedagogy, teacher training, and SDG-focused initiatives, the study finds that teacher empowerment rooted in CTCA enhances innovation, engagement, and alignment between STEM education and sustainable development. It also warns that technology adoption without contextual grounding may yield innovation without transformation. The study concludes that CTCA-driven professional development is vital for bridging the AI-STEM-SDG divide, positioning teachers as agents of equity, innovation, and sustainability in 21st-century classrooms.

Keywords

teacher empowerment, educational innovation, Artificial Intelligence, STEM Education, CTCA, SDGs

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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
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