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CURRICULUM, INSTRUCTION, AND PEDAGOGY article

Front. Digit. Health

Sec. Connected Health

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1610253

This article is part of the Research TopicAdvancing Vocal Biomarkers and Voice AI in Healthcare: Multidisciplinary Focus on Responsible and Effective Development and UseView all 11 articles

ADAPTING DATA SCIENCE COMPETENCIES BY ROLE AND PURPOSE: VOICE AI

Provisionally accepted
Andrea Krussel*Andrea Krussel*1*David Dorr*David Dorr*2*Rachel HauckRachel Hauck1Christie JacksonChristie Jackson2Abhijeet DalalAbhijeet Dalal2Steven BedrickSteven Bedrick2Philip R.O. PaynePhilip R.O. Payne1William HershWilliam Hersh2
  • 1Washington University in St. Louis, St. Louis, Missouri, United States
  • 2Oregon Health and Science University, Portland, Oregon, United States

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1. Abstract: Competencies help define the skills and knowledge needed by learners. Often broad, educators integrate competencies to provide a framework for curricula or professional standards. For data science, the rate of change in the field, role variations, and specificity in key applications can be challenging. Our objective was to adapt general data science competencies for different learner roles in an emerging area: the clinical utility of Voice, Language, and Speech-based Artificial Intelligence/Machine Learning (AI/ML). Using a persona-inductive approach, we adapted competencies to support learners from varying professional and educational backgrounds and implemented these adaptations in a multi-institutional summer school. Results from these pilot efforts demonstrated feasibility, highlighted the importance of cross-role collaboration, and provided lessons for scaling to broader audiences. Our frameworks show that competency adaptation is necessary and practical in rapidly evolving AI domains.

Keywords: artificial intelligence, Voice, Speech, Language, competencies, Curricular development

Received: 11 Apr 2025; Accepted: 26 Aug 2025.

Copyright: © 2025 Krussel*, Dorr*, Hauck, Jackson, Dalal, Bedrick, Payne and Hersh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Andrea Krussel*, Washington University in St. Louis, St. Louis, 63130, Missouri, United States
David Dorr*, Oregon Health and Science University, Portland, 97239, Oregon, United States

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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