This paper proposes a comprehensive framework integrating Artificial Intelligence (AI) into English as a Foreign Language (EFL) instruction, specifically targeting listening and speaking skills. We position AI as a "semiotic mediator" that bridges receptive listening and productive speaking through a "Listening-Composing Cycle." This model guides learners from deconstructing audio texts with AI analysis tools to creating their own spoken and multimodal outputs with AI assistants. A taxonomy classifies AI tools by their pedagogical role. Supported by theories like Social Semiotics and Flow Theory, the framework offers principles for developing multimodal communicative competence, emphasizing critical AI literacy. While empirical studies show AI reduces speaking anxiety and boosts confidence, challenges like technological limitations and ethical concerns require a balanced, human-centric approach, advocating for a "Critical-Digital Humanism" in language education.

Artificial Intelligence, EFL Listening, EFL Speaking, Digital Multimodal Composing, Pedagogical Framework, Semiotic Mediation, Multimodal Communicative Competence, AI-Assisted Language Learning, Speaking Anxiety, Learner Confidence, Learner Motivation, Adaptive Learning, Critical-Digital Humanism

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