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📄 Research Article

A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges

● high · 2026-06-29llm, intelligent-tutoring, feedback-loop, professional-training, language-learning, personalized-learning, scaffolding, ai-literacy, rag

This survey provides the first systematic review of automated presentation coaching systems, organizing them along a five-dimensional task taxonomy: segmental pronunciation, lexical stress, suprasegmental prosody, pacing, and content faithfulness. The authors review systems spanning pronunciation tutors, fluency and prosody coaches, multimodal trainers, and conference Q&A practice tools, identifying coverage gaps in pacing and content feedback dimensions.

The survey connects to intelligent tutoring systems by examining how real-time feedback delivery mechanisms in coaching systems mirror educational feedback principles. The taxonomy serves as a framework for professional skills training, particularly for second language learners, and highlights the role of scaffolded feedback in skill development.

Key open challenges include the scarcity of annotated presentation corpora, achieving accent-fair feedback across diverse L1 backgrounds, and delivering real-time multimodal feedback without overwhelming the learner — all of which connect to broader personalized learning and AI literacy concerns in education technology design.

Connected Concepts

  • Intelligent Tutoring
  • Feedback Loop
  • Professional Training
  • Language Learning
  • Scaffolding
  • Personalized Learning
  • AI Literacy

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    • Citation

    Wen Liang, Li Siyan, Zackary Rackauckas, Julia Hirschberg (2026). A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges. arXiv:2606.27380. Computation and Language (cs.CL).