Content Analysis, Construct Validity, and Artificial Intelligence: Implications for Technical and Professional Communication and Graduate Research Preparation

IF 1.8 2区 文学 Q3 BUSINESS
Stuart Deets, Caitlin Baulch, Alison Obright, Dan Card
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引用次数: 0

Abstract

Artificial intelligence tools are being increasingly used to do content analysis in technical and professional communication (TPC). The authors consider some of the affordances and constraints of these tools and suggest that construct validity is an underdiscussed form of validity within TPC research that will become more important as artificial intelligence research tools become increasingly prevalent. But construct validity is an important idea for graduate programming on research methods regardless of the type of method, technique, or tool used—whether qualitative or computational. Thus, training in construct validity is important for strengthening graduate research preparation in TPC.
内容分析、结构有效性和人工智能:对技术和专业交流以及研究生研究准备的影响
人工智能工具正越来越多地被用于技术与专业交流(TPC)的内容分析。作者考虑了这些工具的一些优势和限制因素,并认为建构效度是技术与职业传播研究中一种未得到充分讨论的效度形式,随着人工智能研究工具的日益普及,这种效度形式将变得更加重要。但是,无论使用哪种方法、技术或工具(无论是定性的还是计算的),建构有效性都是研究方法研究生课程的一个重要理念。因此,建构有效性方面的培训对于加强 TPC 研究生的研究准备工作非常重要。
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来源期刊
CiteScore
5.10
自引率
18.20%
发文量
16
期刊介绍: JBTC is a refereed journal that provides a forum for discussion of communication practices, problems, and trends in business, professional, scientific, and governmental fields. As such, JBTC offers opportunities for bridging dichotomies that have traditionally existed in professional communication journals between business and technical communication and between industrial and academic audiences. Because JBTC is designed to disseminate knowledge that can lead to improved communication practices in both academe and industry, the journal favors research that will inform professional communicators in both sectors. However, articles addressing one sector or the other will also be considered.
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