machine translation

Digital technologies can expand opportunities for language practice, feedback, and access to learning materials, but their educational value depends on how they are integrated into instruction. This conceptual article draws on a selective narrative review to examine automatic speech recognition, conversational agents, machine translation, and virtual environments in language learning. It distinguishes the functions of these technologies from the learning outcomes that teachers must evaluate. The discussion identifies opportunities for pronunciation practice, sustained interaction, reflective revision, and contextualized communication, alongside problems involving unreliable feedback, cognitive demands, unequal access, and personal data. Alpha School is considered briefly as an institutional illustration of adaptive learning and human guidance, rather than as evidence of foreign-language learning effectiveness. Four proposed classroom applications show how teachers can connect digital activity to observable language performance. The article argues that responsible integration requires clear learning objectives, appropriate scaffolding, human review of feedback, and opportunities to demonstrate learning beyond the original tool. Its contribution is a practical framework for evaluating instructional use; the proposed applications require subsequent classroom investigation.