V3I6P66

Quantifying The Algorithmic Shift: Modeling the Impact of Artificial Intelligence on Students’ Sustainable Education and Career Development – An Extended TOE Framework with Empirical Validation

Madhushree C P^1*, Dr.Veena Rani K²

Abstract

Artificial intelligence (AI) is rapidly restructuring educational ecosystems and labor markets, yet empirical quantification of its impact on students’ sustainable education and career development remains sparse. This study extends the Technology-Organization-Environment (TOE) framework by integrating two novel constructs: AI literacy and ethical awareness. Using a cross-sectional survey of 487 university students across six disciplines, we apply structural equation modeling (SEM) and hierarchical regression. Results show that AI adoption explains 58.3% of variance in sustainable education (R² = 0.583) and 51.7% in career development (R² = 0.517). Technological context (β = 0.42, p < 0.001) and organizational context (β = 0.31, p < 0.01) are dominant predictors. Ethical awareness moderates the relationship between AI use and career outcomes (ΔR² = 0.09, p < 0.01). A predictive formula (AI Impact Score = 0.34×Tech + 0.28×Org + 0.19×Env + 0.15×AI_Lit − 0.08×Ethical_Risk) is derived. We contribute a validated extended TOE model with numerical benchmarks, flowcharts, and actionable policy guidelines for universities.

Keywords:

Artificial intelligence, sustainable education, career development, extended TOE framework, structural equation modeling, university students