现存分类群
工程伦理学
背景(考古学)
心理学
管理科学
工程类
地理
考古
进化生物学
生物
作者
Tristan Lim,Swapna Gottipati,Michelle L. F. Cheong
出处
期刊:Advances in educational technologies and instructional design book series
日期:2023-12-29
卷期号:: 32-79
被引量:3
标识
DOI:10.4018/979-8-3693-0205-7.ch003
摘要
In the vital context of education, the application of artificial intelligence (AI) to assessments necessitates a nuanced examination of the boundaries between ethically permissible and impermissible practices. In this chapter, the authors applied a systematic literature mapping methodology to scour extant research, so as to holistically structure the landscape into explicit topical research clusters. Through topic modelling and network analyses, research mapped key ethical principles to different assessment phases in a triadic ontological framework. The chapter looks to provide researchers and practitioners the insights into the ethical challenges that exist across an end-to-end assessment pipeline.
科研通智能强力驱动
Strongly Powered by AbleSci AI