Human-Artificial Intelligence (HAI) Teaming in STEM Education: A Conceptual Framework for Skill Development in Industry 5.0

Baibhaw Kumar () and Csaba Deák ()
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Baibhaw Kumar: University of Miskolc
Csaba Deák: University of Miskolc

A chapter in Artificial Humans, 2026, pp 235-253 from Springer

Abstract: Abstract Recent transformation in pedagogy has a high potential for human-AI (HAI) teaming in STEM education in the age of fast technological reforms. The objective of this chapter is to investigate how AI tools might be subtly incorporated into teaching methods to improve student experiences, encourage customization, and stimulate creativity in STEM pedagogy for skills required for Industry 5.0. This chapter aims to analyze recently developed AI-driven technologies, such as Intelligent Tutoring Systems, Automated Assessment, and Adaptive Learning platforms, and to examine the role of AI in education for Industry 5.0 skills. These tools’ efficient use in STEM pedagogy was evaluated using a conceptual framework and a structured SWOT analysis, highlighting the obstacles as well as the potential they bring. It was found that cooperation in HAI is advantageous, such as customized learning paths and data-driven insights, but it also needs to be carefully considered in ethical and financial terms. The findings offer a road map for educators, policymakers, and future learners to fully use AI’s capabilities while maintaining inclusivity and equity with a comprehensive HAI framework. To create a more flexible and student-centered learning environment, future analysis should focus on improving existing or upcoming digital tools and investigating novel approaches to integrating AI in all educational scenarios considering human interactions.

Keywords: Human-AI collaboration; STEM education; Industry 5.0; Intelligent tutoring systems; AI-driven pedagogy (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-06604-6_14

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