Beyond Access

Reimagining the Architecture of Equitable STEM Education

Authors

  • Udan Kusmawan Universitas Terbuka, Indonesia
  • Dodi Sukmayadi Universitas Terbuka, Indonesia

DOI:

https://doi.org/10.33830/ijrse.v8i1.15131

Keywords:

Artificial intelligence in education, STEM education, Educational equity, Learning analytics, Human-centered learning ecosystems

Abstract

STEM education is entering an era shaped by artificial intelligence, learning analytics, and increasingly diverse learner populations. Yet technological advancement alone is insufficient to ensure meaningful and equitable learning opportunities. Drawing on eight studies from Asia, Africa, North America, and the Middle East, this editorial identifies three emerging priorities for future STEM education: equity and inclusion, holistic learner development, and intelligent learning infrastructures. Together, these studies suggest a shift from technology-centered innovation toward AI-powered, human-centered educational ecosystems that integrate assessment, language, cognition, resilience, and participation. This perspective offers a framework for reimagining equitable STEM education in the decades ahead.

References

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Published

30-05-2026

How to Cite

Kusmawan, U., & Sukmayadi, D. (2026). Beyond Access: Reimagining the Architecture of Equitable STEM Education. International Journal of Research in STEM Education, 8(1), 129–134. https://doi.org/10.33830/ijrse.v8i1.15131

Issue

Section

Editorial Article