Smart Programs and the Transformation of Language Teaching Strategies in the Digital Age: A Theoretical and Pragmatic Perspective

Abstract

This paper explores the transformative impact of intelligent programs on language teaching strategies in the digital era. Moving beyond traditional prescriptive models, the study examines the shift toward interactive, learner-centered approaches facilitated by adaptive technologies. Central to this discussion are core concepts such as adaptive personalization, immediate feedback, learning analytics, and intelligent assessment, which are analyzed within a precise conceptual framework. The research proposes a theoretically grounded model that balances customization with comparability across contexts and suggests conceptual indicators for measuring the impact on both receptive and productive language skills. The added value lies in providing standardized conceptualizations of adaptive learning and intelligent assessment to guide future governance of smart program adoption across diverse linguistic settings.