Robotics & Machine Learning Daily News2024,Issue(Jun.24) :82-83.

Researchers from University of Mataram Discuss Findings in Artificial Intelligen ce (The Influence of Technological Knowledge and Digital Skills on Accounting St udents' Readiness to Face Artificial Intelligence Technology)

来自马塔拉姆大学的研究人员讨论人工智能的发现(技术知识和数字技能对会计学生面对人工智能技术的准备程度的影响)

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :82-83.

Researchers from University of Mataram Discuss Findings in Artificial Intelligen ce (The Influence of Technological Knowledge and Digital Skills on Accounting St udents' Readiness to Face Artificial Intelligence Technology)

来自马塔拉姆大学的研究人员讨论人工智能的发现(技术知识和数字技能对会计学生面对人工智能技术的准备程度的影响)

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摘要

由一名新闻记者-机器人与机器学习每日新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx记者从印度尼西亚马塔拉姆发回的新闻报道,研究表明,"面对数字技术进步的时代,会计专业的学生必须做好准备,并具备会计技术领域的能力,尽管这引起了美国对会计未来和他们被人工智能取代的可能性的各种担忧"。本研究旨在探讨会计专业学生面对人工智能技术的准备程度与技术知识、数字语言技能的关系,所使用的数据来源是以有目的抽样的方式在网上收集的原始数据为样本,以286名被调查者为研究对象。采用结构方程模型(SEM),基于Pa最小二乘(PLS)分析工具Version 4.0.。结果表明,在数字技术颠覆时代,技术知识和数字技能变量对会计专业学生面对人工智能技术的准备程度有积极而显著的影响。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Mataram, Indonesi a, by NewsRx correspondents, research stated, "In the face of the era of digital technological advancement, accounting students must prepare themselves and have competence in the field of accounting technology, even though this raises vario us concerns regarding the future of accountants and the possibility of them bein g replaced by AI." The news reporters obtained a quote from the research from University of Mataram : "This research aims to examine the influence of technology knowledge and digit al skills on the readiness of accounting students to face artificial intelligenc e technology. The data source used was primary data collected online through Goo gle Forms using purposive sampling method. The population of this study sampled 286 respondents, namely active undergraduate accounting students in Indonesia. T he research technique used is Structural Equation Modeling (SEM) based on the Pa rtial Least Squares (PLS) analysis tool version 4.0. The results indicate that t he variables of technology knowledge and digital skills have a positive and sign ificant influence on the readiness of accounting students to face artificial int elligence technology in the era of digital technology disruption."

Key words

University of Mataram/Mataram/Indonesi a/Asia/Artificial Intelligence/Emerging Technologies/Machine Learning/Techn ology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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