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Abstract
This paper presents Smartcom’s end-to-end AI-integrated English language education model, connecting teachers, Smartcom AI Teacher for one-to-one instruction, and an Adaptive Learning Engine through an integrated learning data system. The model integrates conversational AI with structured coursebooks, adapts to learner progress, and connects classroom instruction with independent learning. Drawing on selected international and Vietnamese research, the paper describes the model’s design and implementation and analyzes pilot outcomes using descriptive statistics. A class of twenty-five leaners with initial IELTS scores of 4.0 – 4.5 achieved a mean exit score of 7.30 after 12 months; four learners initially scoring 5.5 – 6.5 averaged 7.875 after 15 weeks. Among 163 upper secondary students using Smartcom AI, the mean score was 6.62, with 98.77% scoring at least 6.0. These findings demonstrate implementation feasibility and positive educational outcomes, providing a foundation for further impact evaluation and wider implementation.
Keywords: end-to-end AI integration; Smartcom AI Teacher; Adaptive Learning Engine; one-to-one instruction; personalization; English language education.