Affiliation:
1. Nanyang Polytechnic, Singapore & Singapore Management University, Singapore
2. Singapore Management University, Singapore
Abstract
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.
Cited by
3 articles.
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1. A Taxonomy of AI-Based Assessment Educational Technologies;2024 15th International Conference on Information and Communication Systems (ICICS);2024-08-13
2. Navigating the AI Landscape;Advances in Educational Technologies and Instructional Design;2024-06-14
3. Teachers’ Experiences with Generative AI as Co-Pilots in High School L2 Writing Instruction: A Case in Vietnam;Studies in Computational Intelligence;2024