人工智能和rsamsum评论经验

IF 0.4 Q4 PSYCHOLOGY, APPLIED Canadian Journal of Career Development Pub Date : 2022-09-09 DOI:10.53379/cjcd.2022.338
David W. Drewery, J. Woodside, Kristen Eppel
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引用次数: 0

摘要

在涉及到rsamsumims的情况下,学生的支持倾向于包括解决学生写作问题的战术反馈和旨在指导批判性自我反思的战略反馈。然而,我们并不总是有足够的时间在一篇简单的评论中涵盖这两种反馈所能提供的所有内容。鉴于对员工时间的需求,许多职业服务管理员正在考虑利用基于人工智能(AI)的产品,这些产品可能提供战术反馈,并允许员工专注于提供战略反馈。在一项实地实验中,我们探索了新手求职者使用基于人工智能的薪酬评估产品如何影响他们随后面对面的薪酬评估经历,尤其是所提供的反馈和由此产生的学习成果。正如预期的那样,AI提供了大量的战术反馈和较少的战略反馈。学生使用人工智能并没有带来更多的战略反馈和相关学习成果的机会。相反,人工智能使学生写作中的问题更加突出。反过来,这引起了更多的关注战术方面和较少的关注战略方面的学生的履历。
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Artificial Intelligence and Résumé Critique Experiences
Where résumés are concerned, student supports tend to include tactical feedback that addresses issues in students’ writing and strategic feedback aimed at coaching critical self-reflection. However, there is not always time to cover all that could be offered by both kinds of feedback in a single résumé critique. Given demands on staff time, many career services administrators are considering opportunities to leverage artificial intelligence-based (AI) products that might offer tactical feedback and allow staff to focus on offering strategic feedback. In a field experiment, we explored how novice job seekers’ use of an AI-based résumé critique product influenced their subsequent face-to-face résumé critique experiences, especially the kinds of feedback offered and learning outcomes that resulted from this. As expected, the AI offered substantial tactical feedback and less strategic feedback. Students’ use of the AI did not result in greater opportunity for strategic feedback and associated learning outcomes. Rather, the AI rendered issues in students’ writing more salient. In turn, this invited more attention to tactical aspects and less attention to strategic aspects of students’ résumés. 
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