thics of Assessment in Higher Education – an Analysis of AI and Contemporary Teaching

EasyChair Preprint no. 11495

Abstract

This study delves into the evolving landscape of higher education assessment, specifically examining the ethical considerations arising from the integration of artificial intelligence (AI) and contemporary teaching methods. As technology transforms the educational sphere, the ethical dimensions of AI-driven assessments become increasingly pertinent. The abstract begins by highlighting the pivotal role assessments play in higher education and how advancements in AI, coupled with modern teaching approaches, are reshaping traditional evaluation practices. The study aims to provide a comprehensive analysis of the ethical implications associated with this transformation. Throughout the research, the ethical considerations surrounding AI in higher education assessment are scrutinized. Questions of fairness, bias, transparency, and accountability take center stage as we explore the delicate balance between leveraging technological innovations for efficient evaluation and maintaining ethical standards in academia. In addition to the ethical analysis, the abstract emphasizes the relevance of considering contemporary teaching methods alongside AI. The synergy between these two factors is examined in the context of fostering a holistic and ethical approach to student assessment.

Keyphrases: contemporary teaching, ethics, higher education

@Booklet{EasyChair:11495,
  author = {Lee Kasowaki and Neil Karim},
  title = {thics of Assessment in Higher Education – an Analysis of AI and Contemporary Teaching},
  howpublished = {EasyChair Preprint no. 11495},

  year = {EasyChair, 2023}}