Advancing Global Science, Technology, Engineering and Mathematics (STEM) Education through Innovation, Artificial Intelligence, Sustainability and Climate-Smart Practices

The complexity of contemporary global challenges demands a re-imagined STEM education that is innovative, intelligent, sustainable and climate-responsive. This paper conceptualizes the advancement of global STEM education through the convergence of four critical drivers: Creativity/innovation, Artificial Intelligence (AI), sustainability, and climate-smart practices. Drawing on Torrance’s Creativity Theory, UNESCO’s Education for Sustainable Development (ESD) for 2030 framework, and Systems Thinking Theory, the paper argues that STEM must transcend rote content transmission to become a transformative, action-oriented enterprise. It synthesizes insights from four complementary frameworks: the CREATIVE-STEM Framework, the AI-STEM Global Enhancement Framework, the SUSTAIN-STEM Model, and the CLIMATE-SMART Transnational STEM Framework. Collectively, they propose a unified pathway that embeds curiosity-driven inquiry, design thinking and artistic integration; leverages AI for adaptive learning, intelligent tutoring, smart assessment and teacher augmentation; and repositions STEM as a vehicle for solving real-world sustainability and climate challenges through localized context, green innovation, and cross-border collaboration. The paper examines implications for curriculum redesign, establishment of innovation hubs, green laboratories and makerspaces, ethical and human-centred AI adoption, and the pivotal role of teacher training institutions in producing sustainability and climate-literate STEM teachers. It addresses barriers such as curriculum rigidity, infrastructural deficits, and inequitable access with strategies including open educational resources, intercontinental partnerships, and inclusive pedagogy. The paper concludes that advancing global STEM education requires moving from siloed STEM to integrated, climate-smart STEM for sustainable development to accelerate the achievement of SDG 4 and SDG 13. Keywords: Global STEM Education, Creativity/Innovation, CREATIVE-STEM Framework, Artificial Intelligence, AI-STEM Framework, Sustainability, SUSTAIN-STEM Model, Climate-Smart Practices, CLIMATE-SMART Framework.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24028703
Primary Topic
STEM Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Advancing Global Science, Technology, Engineering and Mathematics (STEM) Education through Innovation, Artificial Intelligence, Sustainability and Climate-Smart Practices

Geoffrey Aondolumun AYUA
3 links
Zenodo (CERN European Organization for Nuclear Research)
STEM Education
article

Advancing Global Science, Technology, Engineering and Mathematics (STEM) Education through Innovation, Artificial Intelligence, Sustainability and Climate-Smart Practices

Geoffrey Aondolumun AYUA
article en

Abstract

The complexity of contemporary global challenges demands a re-imagined STEM education that is innovative, intelligent, sustainable and climate-responsive. This paper conceptualizes the advancement of global STEM education through the convergence of four critical drivers: Creativity/innovation, Artificial Intelligence (AI), sustainability, and climate-smart practices. Drawing on Torrance’s Creativity Theory, UNESCO’s Education for Sustainable Development (ESD) for 2030 framework, and Systems Thinking Theory, the paper argues that STEM must transcend rote content transmission to become a transformative, action-oriented enterprise. It synthesizes insights from four complementary frameworks: the CREATIVE-STEM Framework, the AI-STEM Global Enhancement Framework, the SUSTAIN-STEM Model, and the CLIMATE-SMART Transnational STEM Framework. Collectively, they propose a unified pathway that embeds curiosity-driven inquiry, design thinking and artistic integration; leverages AI for adaptive learning, intelligent tutoring, smart assessment and teacher augmentation; and repositions STEM as a vehicle for solving real-world sustainability and climate challenges through localized context, green innovation, and cross-border collaboration. The paper examines implications for curriculum redesign, establishment of innovation hubs, green laboratories and makerspaces, ethical and human-centred AI adoption, and the pivotal role of teacher training institutions in producing sustainability and climate-literate STEM teachers. It addresses barriers such as curriculum rigidity, infrastructural deficits, and inequitable access with strategies including open educational resources, intercontinental partnerships, and inclusive pedagogy. The paper concludes that advancing global STEM education requires moving from siloed STEM to integrated, climate-smart STEM for sustainable development to accelerate the achievement of SDG 4 and SDG 13. Keywords: Global STEM Education, Creativity/Innovation, CREATIVE-STEM Framework, Artificial Intelligence, AI-STEM Framework, Sustainability, SUSTAIN-STEM Model, Climate-Smart Practices, CLIMATE-SMART Framework.

Zenodo (CERN European Organization for Nuclear Research)
Quality education, Industry, innovation and infrastructure, Climate action
Openalex Percentile: Top 10%
STEM Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon