The Artificially Intelligent Teacher: Applying Natural Language Processing to Critical Care Education

Prakash, Varuna; Piquette, Dominique; Amaral, Andre Carlos Kajdacsy-Balla

doi:10.34197/ats-scholar.2022-0114ed

Cited by 4 publications

(3 citation statements)

References 15 publications

(14 reference statements)

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“…Although marketed as a cloud‐based quantitative analysis tool, it includes a transcription option which can perform qualitative analysis and tagging. The company describes it as particularly innovative for the field of psycholinguistics, given that according to them, it is able to identify and tag individual traits such as mood states, sentiments, motivation, needs, and so forth (Raven's Eye, 2022). EXMARalDA Partitur Editor.…”

Section: Selecting Technological Tools For Data Treatmentmentioning

confidence: 99%

A tutorial on discourse analysis in healthy and pathological ageing

Suárez

2023

Intl J Lang & Comm Disor

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BackgroundAge is a key factor when dealing with language and speech disorders, as it entails a progressive loss of neuroplasticity even in healthy individuals. Apart from this, ageing also affects our word‐retrieval abilities, and thus, our discursive skills, particularly in people suffering from neurodegenerative diseases. Therefore, descriptions and/or measures of communicative performance always need to be interpreted through the lens of variation across the lifespan.AimThis paper's main objective is to create a general tutorial for researchers willing to start delving into discourse analysis, both in healthy and pathological ageing.MethodsAn eight‐step tutorial on discourse analysis in the elderly is presented. Each of these steps starts with general recommendations and progresses to more specific topics that may be relevant when conducting this type of research. All of the steps have been extrapolated from an extensive literature review on discourse analysis.Main ContributionsThis work presents an easy‐to‐follow, step‐by‐step tutorial on discourse analysis in the elderly. It is aimed at clinical researchers who are taking their first steps in discourse analysis.It may also be useful for those who are already familiar with the methodology but may be interested in reading a general overview on the topic. Moreover, it offers new insights into the following topics: types of research questions, advantages and disadvantages of the different research methodologies and ethical considerations for data production in clinical linguistics.ConclusionsDiscourse analysis in the elderly is a highly complex issue that may require researching from different approaches and disciplines. This implies following a well‐planned and thorough process, which we have detailed through the following eight steps: (i) reviewing literature; (ii) formulating the research question; (iii) designing the study; (iv) producing data; (v) selecting technological tools for data treatment; (vi) transcribing the corpus; (vii) annotating the corpus and (viii) analysing and interpreting the results.What This Paper AddsWhat is already known on the subject Approaches in discourse analysis in elderly adults, and particularly, in people suffering from dementia have already been analysed by previous researchers and categorised into three main trends: the quantitative‐experimental approach, the qualitative‐naturalistic approach and an in‐between path, the quantitative‐naturalistic approach. Also, several handbooks on general discourse analysis have presented comprehensive revisions on potential resources and methodologies that can be applied to researching discourse in elderly populations.What this paper adds to existing knowledge This paper takes these three main approaches and analyses how the most recent research on language in ageing and dementia fits into them. Furthermore, it reviews the advantages and disadvantages each of them may bring for beginners in the field of discourse analysis. Moreover, it adds some studies that may fit into a fourth approach: the qualitative‐experimental. This article also presents information about several of the main steps when analysing data from the pragmatic perspective: the formulation of the research question, data production and the transcription/annotation process.What are the potential or actual clinical implications of this work? This work has been devised for linguists who may want to read a systematization of the steps for analysing discourse in elderly populations. It may also be of interest to specialists from different fields such as speech therapy, psychology, gerontology or neurology who desire to start applying methods from discourse analysis in their work and aim to have a comprehensive scope of the main research trends within the field of clinical pragmatics.

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Section: Selecting Technological Tools For Data Treatmentmentioning

confidence: 99%

A tutorial on discourse analysis in healthy and pathological ageing

Suárez

2023

Intl J Lang & Comm Disor

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“…NLP involves tasks such as syntactic analysis, semantic understanding, word sense disambiguation, named entity recognition, as well as practical applications like information extraction, sentiment analysis, machine translation, and dialogue systems. Linguistics knowledge and methods support algorithm design, corpus construction, and language model optimization in NLP, driving the development and application of NLP technology [4]. (3) Language Models and Language Generation: Linguistic research plays an important role in the construction and optimization of language models.…”

Section: The Role and Role Of Linguistics In The Age Of Artificial In...mentioning

confidence: 99%

Research on the Development Trends of Linguistics in the Age of Artificial Intelligence

2023

langl

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The purpose of this thesis is to explore the trends and impacts of the development of linguistics in the era of artificial intelligence. With the continuous progress and application of artificial intelligence technology, the research, analysis and application in the field of linguistics are also undergoing profound changes. This paper will explore the impact of artificial intelligence technology on linguistics and the future development trend from the perspectives of natural language processing, machine translation and so on. Through in-depth research and comprehensive analysis, this paper aims to reveal the innovations and challenges in the field of linguistics in the era of artificial intelligence, and provide guidance and reference for future research and application.

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“…In recent years, there has been substantial promise and investment in using artificial intelligence (AI) within medicine ( 4 ). Novel approaches using AI to promote medical education are being attempted, such as employing natural language processing to give students feedback on their case presentations ( 5 ). Tools are being developed, but at the same time, literature suggests that medical students desire more formalized training on AI applications as they pertain to the future of medicine ( 6 ).…”

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confidence: 99%

A Picture Worth a Thousand Words, Created with One Sentence: Using Artificial Intelligence–created Art to Enhance Medical Education

Huston

Kaminski

2023

ATS Scholar

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With the advancement of digital technology, the medium in which medical education is delivered has evolved from chalk talks, to the use of overhead projectors, and now to a digital format. Although the old modus operandi of a good chalk talk can still seize the attention of pupils and inspire, new methods continue to emerge. In recent years, artificial intelligence has materialized as a tool to advance the medical field, and medical education is no exception. The purpose of this perspective is to introduce a new, powerful instrument to the medical educator: artificial intelligence–generated art. This tool can be leveraged to improve medical education, both in narrative medicine and in the creation of educational imagery.

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The Artificially Intelligent Teacher: Applying Natural Language Processing to Critical Care Education

Cited by 4 publications

References 15 publications

A tutorial on discourse analysis in healthy and pathological ageing

A tutorial on discourse analysis in healthy and pathological ageing

Research on the Development Trends of Linguistics in the Age of Artificial Intelligence

A Picture Worth a Thousand Words, Created with One Sentence: Using Artificial Intelligence–created Art to Enhance Medical Education

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