Transforming Learning with AI-Driven Avatars and Readiness in Education: From Traditional Pedagogy to Simulation-Based Mastery

Authors

  • Fernando Salvetti e-REAL Labs at Logosnet, Turin, Italy – Lugano, Switzerland – Houston, TX, USA – New York, NY, USA https://orcid.org/0009-0009-5197-305X
  • Barbara Bertagni e-REAL Labs at Logosnet, Turin, Italy – Lugano, Switzerland – Houston, TX, USA – New York, NY, USA
  • Danils Vanags e-REAL Labs at Logosnet, Turin, Italy – Lugano, Switzerland – Houston, TX, USA – New York, NY, USA

DOI:

https://doi.org/10.3991/ijac.v19i2.58761

Keywords:

AI-driven Avatars, Simulation, Multimodal Learning, Psychological Safety, Adaptive Learning, Empowerment

Abstract


Education and professional training are increasingly challenged by a persistent gap between knowledge acquisition and the ability to perform effectively in real-world contexts. While digital learning, extended reality (XR), and artificial intelligence (AI) have expanded access to education, many implementations still replicate transmissive pedagogical models, offering limited support for decision-making, adaptability, and professional judgment. This paper argues that the central challenge is not technological adoption per se, but the redefinition of readiness as a dynamic, systemic, and measurable construct. We propose a readiness-oriented framework in which learning environments are designed to support cognitive, emotional, and social preparedness through deliberate practice, reflective feedback, and psychologically safe experimentation. Within this framework, AI-driven conversational avatars are conceptualized not merely as instructional tools but as mediating agents that scaffold learning, reduce the emotional cost of errors, and enable repeated exposure to complex, high-stakes scenarios. By combining immersive environments, adaptive dialogue, and analytics-driven feedback, avatar-mediated simulations support the transfer of learning across contexts and cultures. Drawing on empirical evidence from multi-year studies, cross-sector case analyses, and survey-based research, the paper examines how readiness-oriented, multimodal learning ecosystems enhance engagement, accelerate skill acquisition, and improve decision-making under pressure. The discussion highlights implications for higher education, healthcare, corporate training, and leadership development, emphasizing inclusivity, bias mitigation, and ethical alignment. Ultimately, the paper positions readiness—not content mastery—as the primary outcome of contemporary education, and AI-driven avatars as a key enabler of scalable, equitable, and practice-centered learning.

Author Biography

Fernando Salvetti, e-REAL Labs at Logosnet, Turin, Italy – Lugano, Switzerland – Houston, TX, USA – New York, NY, USA

Founder and Managing Partner, e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA)

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Published

2026-06-03

How to Cite

Salvetti, F., Bertagni, B., & Vanags, D. (2026). Transforming Learning with AI-Driven Avatars and Readiness in Education: From Traditional Pedagogy to Simulation-Based Mastery. International Journal of Advanced Corporate Learning (iJAC), 19(2), pp. 103–127. https://doi.org/10.3991/ijac.v19i2.58761

Issue

Section

TLIC Papers