Artificial Intelligence and Language: Bridging Arabic and English with Technology
This paper is a conceptual/theoretical discussion of how AI technologies (language learning platforms, translation tools, NLP) can support Arabic and English language learning, framed through the author's own 'AlAfnan Taxonomy' which extends Bloom's taxonomy to include cognitive, affective, and psychomotor domains. The paper does not present empirical evaluations, benchmarks, or systematic assessments of AI tools in educational settings.
The article examines the transformative impact of Artificial Intelligence (AI) on language learning, focusing on Arabic and English. It explores how AI technologies, including language learning platforms, translation and interpretation tools, and natural language processing (NLP), reshape traditional language education methods. AI-driven solutions offer personalized, adaptive, and dynamic learning experiences, moving beyond conventional approaches. By integrating AlAfnan’s Taxonomy of Educationa