GenAI has gained the attention of a myriad of users in almost every profession. Its advancement has had an intense impact on education, significantly disrupting the assessment design and evaluation methodologies. Despite the potential benefits and possibilities of GenAI in the education sector, there are several concerns primarily centred around academic integrity, authenticity, equity of access, assessment evaluation methodology, and feedback. Consequently, academia is encountering challenges in assessment design that are essential to retaining academic integrity in the age of GenAI. In this article, we discuss the challenges, and opportunities that need to be addressed for the assessment design and evaluation. The article also highlights the importance of clear policy about the usage of GenAI in completing assessment tasks, and also in design approaches to ensure academic integrity and subject learning. Additionally, this article also provides assessment categorisation based on the use of GenAI to cultivate knowledge among students and academic professionals. It also provides information on the skills necessary to formulate and articulate problems and evaluate the task, enabling students and academics to effectively utilise GenAI tools.

翻译：生成式人工智能已引起几乎所有行业中众多用户的关注。其进展对教育产生了强烈影响，显著颠覆了评估设计与评价方法。尽管生成式人工智能在教育领域存在潜在优势与可能性，但仍存在若干主要围绕学术诚信、真实性、获取公平性、评估评价方法及反馈的关切。因此，学术界在评估设计方面面临挑战，这些挑战对于在生成式人工智能时代保持学术诚信至关重要。本文讨论了评估设计与评价中需要应对的挑战与机遇。文章还强调了在完成评估任务时关于生成式人工智能使用的明确政策的重要性，以及为确保学术诚信和学科学习所需的设计方法。此外，本文提供了基于生成式人工智能使用的评估分类，以培养学术专业人员的知识。文中还提供了制定问题、阐明问题以及评估任务所必需技能的资讯，使学生与学术人员能够有效利用生成式人工智能工具。