Skip to main navigation Skip to search Skip to main content

AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals

  • Qingxiao Zheng
  • , Abhinav Choudhry
  • , Zihan Liu
  • , Parisa Rabbani
  • , Yuting Hu
  • , Abbie Olszewski
  • , Yun Huang
  • , Jinjun Xiong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Speech-Language Pathologists (SLPs) support individuals with communication difficulties, but high caseloads and heavy documentation demands often lead to strain and burnout. This research examines how AI-generated intervention documentation can support SLPs and how their insights can inform future AI-enhanced documentation systems. Through a formative study with 17 SLPs, we used an iterative, human-centered approach to examine how AI-generated documentation aligned with their professional practices. Our findings reveal four key opportunities for using AI in documentation and propose three fluidity-focused design goals—contextual, assessment, and individual—for future systems. These goals aim to balance individualization in special education with high-quality documentation. This study advances understanding of how AI can support SLP workflows and inform the design of documentation tools across educational settings where structured documentation is critical.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings
EditorsAlexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani
PublisherSpringer Science and Business Media Deutschland GmbH
Pages132-140
Number of pages9
ISBN (Print)9783031984648
DOIs
StatePublished - 2025
Event26th International Conference on Artificial Intelligence in Education, AIED 2025 - Palermo, Italy
Duration: Jul 22 2025Jul 26 2025

Publication series

NameLecture Notes in Computer Science
Volume15882 LNAI

Conference

Conference26th International Conference on Artificial Intelligence in Education, AIED 2025
Country/TerritoryItaly
CityPalermo
Period07/22/2507/26/25

Keywords

  • behavior analysis
  • design space
  • human-centered AI
  • special education
  • vision-language model

Fingerprint

Dive into the research topics of 'AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals'. Together they form a unique fingerprint.

Cite this