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A Call to Action on Artificial Intelligence and Social Work Education: Lessons Learned from A Simulation Project Using Natural Language Processing
Journal of Teaching in Social Work ( IF 0.8 ) Pub Date : 2020-12-26 , DOI: 10.1080/08841233.2020.1813234
Kenta Asakura 1 , Katherine Occhiuto 1 , Sarah Todd 1 , Cedar Leithead 2 , Robert Clapperton 3
Affiliation  

ABSTRACT

In discussing a university-industry partnership on the development of an Artificial Intelligence (AI)-based simulation platform, this conceptual paper explores the use of Natural Language Processing (NLP) as a pedagogical innovation in social work. Critically reflecting upon this ongoing project, we discuss the current promises and limitations of NLP for social work education. The Community of Inquiry (CoI) framework theoretically informs “lessons learned” from this case study and provides a call to action for social work educators to play a greater role in developing and researching pedagogies supported by currently evolving AI technologies.



中文翻译:

人工智能和社会工作教育的行动呼吁:使用自然语言处理的模拟项目的经验教训

摘要

在讨论基于人工智能(AI)的仿真平台开发的大学与工业界的合作关系时,本概念性文件探讨了自然语言处理(NLP)作为社会工作中的教学创新的用途。批判性地反思这个正在进行的项目,我们讨论了NLP在社会工作教育中的当前承诺和局限性。研究社区(CoI)框架从理论上为该案例研究提供了“经验教训”,并呼吁社会工作教育工作者在发展和研究由当前不断发展的AI技术支持的教学法中发挥更大作用。

更新日期:2020-12-26
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