Eti Herman, David Nicholas, Abdullah Abrizah, Jorge Revez, Blanca Rodríguez-Bravo, Marzena Swigon, David Clark, Jie Xu, Anthony Watkinson
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引用次数: 0
摘要
这篇内容广泛的文献综述并不是一篇独立的论文,因为它是为了帮助 "变化的先兆 "项目(Harbinger of Change,H-3)的第三阶段(即当前阶段)做好准备,该阶段的重点是人工智能(AI)对早期职业研究人员(ECRs)的影响。其目的是为正在进行的访谈项目(2024-)的设计、范围和问题形成提供参考。这项研究的总体目标是确定我们对人工智能技术给一般研究人员,特别是其中的初级研究人员带来的现有和/或预测机遇与挑战的了解程度。我们发现,关于 ECR 实际情况的实证证据非常少,而且往往被淹没在各种预测和预言之中。不过,从长远来看,ECR 显然会带来好处,可以说,对新手研究人员最有吸引力的一定是提高他们的生产力,这是所有学术回报(包括职业发展)的关键所在。
The impact of AI on the post-pandemic generation of early career researchers: What we know or can predict from the published literature
This extensive literature review is not a stand-alone paper, as it was conducted to help set the scene for the third and current stage of the Harbinger of Change project (H-3), which is focusing on the impact of artificial intelligence (AI) on early career researchers (ECRs). Its purpose is to inform the design, scope and question-forming of the ongoing interview project (2024–). The overarching aim of the review is to establish what we know of the already extant and/or predicted opportunities and challenges that AI-driven technologies present to researchers, in general, and the cohort of junior researchers among them, in particular. It was found that very little empirical evidence exists of what is happening to ECRs on the ground, and that tends to be drowned in a sea of forecasts and prognostications. However, down the road there are clear benefits accruing to ECRs and, arguably, the most appealing for novice researchers must be the benefits of enhancing their productivity, the key to all scholarly rewards, inclusive of career advancement.