听力学家和语言治疗师使用人工智能工具:一项国际学者调查。

Journal of otology Pub Date : 2025-03-20 eCollection Date: 2025-01-01 DOI:10.26599/JOTO.2025.9540004
Komal Aggarwal, Rohit Ravi, Krishna Yerraguntla
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引用次数: 0

摘要

目的:人工智能(AI)正在全球各个领域发展,如金融、制造业、娱乐、农业、零售、医疗保健和法律。它在教育领域的应用呈指数增长。目前的全球调查探讨了听力学和语言治疗(ASLT)学者对人工智能的使用情况,以及他们在学术工作中使用人工智能工具的意愿。方法:本研究采用横断面调查设计。106名ASLT院士参与了调查(2024年2月至2024年4月)。调查问卷包含18个项目,其中包括一个五分制量表,是-否和开放式问题。采用描述性统计进行分析。结果:大多数参与者来自亚洲和北美,其次是非洲。近68%的院士在实践中使用了人工智能工具。参与者报告的主要问题是数据的真实性、安全性、不相关信息的添加和不正确的引用。参与者还提到,频繁使用人工智能工具会降低一个人设计新想法的能力。参与者报告了ChatGPT、Canva、Grammarly AI、Mentimeter、QuillBot、ResearchRabbit和Scribd等人工智能工具。结论:本研究强调了ASLT学者中人工智能工具的使用。然而,只有少数院士有人工智能课程的经验。这表明迫切需要在学术界适当使用人工智能的培训和大学的支持。此外,人工智能应该在适当的监督和伦理考虑下纳入学术界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of artificial intelligence tools by audiologists and speech-language therapists: an international survey of academicians.

Purpose: Artificial intelligence (AI) is developing across the world in every domain, such as finance, manufacturing, entertainment, agriculture, retail, healthcare, and law. Its use in the education sector has exponentially increased. The present global survey explored the utilization of AI among academicians in audiology and speech-language therapy (ASLT) and their willingness to use AI tools in their academic work.

Method: This study used a cross-sectional survey design. One hundred and six ASLT academicians participated in the survey (February 2024 to April 2024). The questionnaire contains 18 items, which included a five-point rating scale, yes-no, and open-ended questions. Descriptive statistics were used for analysis.

Results: Most of the participants were from Asia and North America, followed by Africa. Nearly sixty-eight percent of the academicians used AI tools in their practice. The major concerns reported by the participants were the authenticity of the data, security, the addition of irrelevant information, and incorrect citations. The participants also mentioned that the frequent use of AI tools can reduce a person's ability to devise novel ideas. AI tools such as ChatGPT, Canva, Grammarly AI, Mentimeter, QuillBot, ResearchRabbit, and Scribd were reported by participants.

Conclusions: The present study highlights the use of AI tools among ASLT academicians. However, only a few academicians have prior experience in AI courses. This indicates the pressing need for training concerning the appropriate use of AI in academia and support from universities. Furthermore, AI should be incorporated into academia with appropriate monitoring and ethical considerations.

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