Enterprise AI Analysis
Emerging technologies for STEM education: global evidence on learning, equity, and SDG4
This study synthesizes research on emerging technologies in STEM education, investigating their potential to transform learning environments, enhance gender equity, use learning theories and impact SDG4 targets. In accordance with the PRISMA guidelines, the present study included 1,990 publications pertaining to STEM education from the Scopus database during the last decade. BERTopic modeling was used for the analysis, and the results identified four pivotal technologies: robotics, artificial intelligence (AI), extended reality (ER), and interconnected smart systems. The findings suggest that these technologies enhance technical and cognitive skills. The study identifies strategies used for gender equity and inclusion through these technologies. Although cognitive and psychological theories, social and behavioral theories, and experiential and action-based learning has been used in learning systems, the lower numbers of such studies indicate that gaps remain in the adaptation, integration, and evaluation of educational theories with these technologies. The study identified SDG4.4 as the most researched target for equipping students with essential skills for the modern workforce through immersive, practical experience. Key implications for practice and policy include integrating learning theories with emerging technologies, advancing SDG4 outcomes, and enhancing professional development and educational equity. This highlights the incorporation of generative AI to further personalize learning experiences and the metaverse to facilitate collaborative environments.
Publication Info: Received: 30 April 2024, Accepted: 20 January 2026. Authors: Prema Nedungadi, M. G. Thushara, G. Veena, Kai-Yu Tang & Raghu Raman
Executive Impact at a Glance
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SDG4.4 Mentions
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Relevant Publications Analyzed
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Key Learning Theories
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Emerging Technologies
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Driving Innovation in STEM Education
The research highlights four pivotal technologies: robotics, artificial intelligence (AI), extended reality (ER), and smart connected systems, which are transforming STEM learning environments.
- ✓ Robotics: Enhances technical, cognitive, and engineering skills, promoting project-based learning and problem-solving.
- ✓ Artificial Intelligence (AI): Personalizes learning through predictive analytics, intelligent tutoring systems, and adaptive feedback, improving outcomes and preparing students for future AI literacy.
- ✓ Extended Reality (ER): Provides immersive and interactive learning experiences, boosting retention and comprehension of complex scientific concepts, and fostering engagement.
- ✓ Smart Connected Systems (IoT): Offers interactive, connected, and responsive learning environments, integrating low-cost hardware and open-source software for practical applications.
Addressing Disparities and Fostering Participation
Challenges in gender equity persist despite technological advancements. Effective strategies and interventions are crucial for promoting inclusive STEM environments.
- ✓ Mentorship and Peer Support: Enhance girls' confidence and engagement in STEM fields.
- ✓ Culturally Responsive Teaching: Creates inclusive learning environments that respect diverse backgrounds.
- ✓ Early Exposure to GAI: Influences female students' interest in STEM careers, though further research on gender disparities is needed.
- ✓ Policy Shifts and Institutional Efforts: Crucial for promoting gender equity and supporting women in STEM through national reforms and professional networks.
Pedagogical Foundations for Tech Integration
Integrating established learning theories with emerging technologies is crucial for enhancing engagement, understanding, and educational effectiveness in STEM.
- ✓ Constructivism: Supports hands-on experiences with VR to manipulate virtual environments.
- ✓ Cognitive Load Theory: AI adjusts content difficulty, optimizing educational efficacy.
- ✓ Social Cognitive Theory: Robotics facilitates collaborative, hands-on projects and real-time interaction.
- ✓ Universal Design for Learning (UDL): Advocates for educational access for all students, supported by AI and adaptive systems.
Aligning Technology with Global Educational Goals
Emerging technologies in STEM education contribute significantly to achieving SDG4 targets, particularly in equipping students with essential skills for the modern workforce.
- ✓ SDG4.4 (Skills for Employment): Most researched target, emphasizing practical, immersive experiences.
- ✓ SDG4.c (Teacher Professional Development): Highlights the critical role of AI and online platforms in enhancing educator skills.
- ✓ SDG4.5 (Gender Equality): Emerging technologies support inclusive teaching methods and mentorship programs.
- ✓ SDG4.b (Scholarships) & SDG4.1 (Primary Education): Technologies expand access and provide personalized support for disadvantaged groups.
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References cite SDG4.4: Skills for Employment, aligning tech-enhanced STEM with workforce needs.
Enterprise Process Flow
Robotics Integration
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Enhanced Technical Skills
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Cognitive Skill Development
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Problem-Solving Abilities
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Modern Workforce Readiness
The process illustrates how integrating robotics in STEM education leads to critical skill development, preparing students for future workforce demands.
| Technology | Key Learning Theories Integrated |
|---|---|
| AI-Based Systems |
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| Extended Reality (VR/AR) |
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| Robotics |
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| Smart Connected Systems |
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Impact of Generative AI on Gender Equity in STEM
Recent research highlights the potential of Generative AI (GAI) in addressing gender disparities within STEM education. GAI can update content based on culture and context, increasing inclusivity and supporting remote education (Shankar et al., 2025). However, there is a critical need for more research on how early GAI exposure influences students' interest in STEM careers, focusing on gender disparities (Nedungadi et al., 2025). GAI's ability to personalize learning experiences and provide adaptive feedback could be instrumental in making STEM fields more accessible and appealing to underrepresented groups, fostering a more equitable and inclusive educational landscape.
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