AI-Enhanced Language Education as a Therapeutic Tool: Exploring the Intersection of Psychology, Communication and Educational Management

Abstract

AI integration in L2 learning and speech language therapy reshapes the education and clinical practice. The study is aimed to explore AI as a therapeutic tool by exploring intersection of psychology, communication and education management. The mix method focuses on communication anxiety, institutional governance, and language learners’ proficiency by taking insights from speech language therapy, L2 pedagogy and clinical psychology. We conducted a 12 week AI mediated intervention in three institutions with 120 stratified learners of three stages. The quantitative measure was included standardized psychological assessment (GAD-7& Speech Communication Anxiety Inventory) and pre/post proficiency test. Qualitative analysis used policy document review and focus group which revealed three themes analyzed using thematic analysis technique. While AI facilitated individualized pacing and corrective feedback, gaps emerged in governance frameworks, particularly concerning bias audits, crisis response protocols, and data ethics. The Consolidated Framework for Implementation Research (CFIR) mapping highlighted alignment in intervention design but weaker process safeguards, underscoring the importance of human-in-the-loop supervision and institution-specific ethical protocols. The quantitative results concluded significant anxiety reduction (p< .001) and communication stress. It was found measurable proficiency gains in beginners. Therapeutic outcome and linguistic progress predicted to engagement metrics with valuable strength. The qualitative results prove dual benefits of learners’ anxiety reduction and enhancement L2 mastery by sustaining engagement and teacher mediation. However, institutional readiness and governance remain lagging behind technological adoption. Finally, study contribute AI role in affective learning and self regulation. It also emphasizes on the need of teachers’ training, policy evaluation and ethical safeguards.

Keywords: Artificial intelligence (AI); second language acquisition (L2); therapeutic language learning; communication anxiety; self-efficacy; educational management; speech-language therapy.