This research aims to take advantage of artificial intelligence techniques in producing students assessment that is compatible with the different academic accreditations of the same program. The possibility of using generative artificial intelligence technology was studied to produce an academic accreditation compliant test the National Center for Academic Accreditation of Kingdom of Saudi Arabia and Accreditation Board for Engineering and Technology. A novel method was introduced to map the verbs used to create the questions introduced in the tests. The method allows a possibility of using the generative artificial intelligence technology to produce and check the validity of questions that measure educational outcomes. A questionnaire was distributed to ensure that the use of generative artificial intelligence to create exam questions is acceptable by the faculty members, as well as to ask about the acceptance of assistance in validating questions submitted by faculty members and amending them in accordance with academic accreditations. The questionnaire was distributed to faculty members of different majors in the Kingdom of Saudi Arabias universities. one hundred twenty responses obtained with eight five percentile approval percentage for generate complete exam questions by generative artificial intelligence . Whereas ninety eight percentage was the approval percentage for editing and improving already existed questions.

翻译：本研究旨在利用人工智能技术生成与同一专业不同学术认证标准相兼容的学生评估内容。通过探索生成式人工智能技术的适用性，以构建符合沙特阿拉伯王国国家学术认证中心及工程与技术认证委员会要求的认证合规测试。我们提出了一种创新方法，将用于编制试题的动词进行映射，从而实现利用生成式人工智能技术生成并检验衡量教育成果的试题有效性。为验证教师群体对使用生成式人工智能编制考试试题的接受度，并征询其对协助审核教师提交试题及依据学术认证标准修订试题的认可程度，我们进行了问卷调查。该问卷面向沙特阿拉伯王国各高校不同专业的教师发放，共回收120份有效问卷。结果显示，对于由生成式人工智能直接生成完整考试试题的认可率为85%，而对于编辑完善现有试题的支持率则达98%。