综合AI评估框架：通过合乎伦理的AI整合增强教育评估
Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration
AI总结：
本文提出综合AI评估框架（CAIAF），通过纳入严格伦理准则、区分教育层级及高级AI能力，并采用颜色渐变设计提升易用性，旨在促进教育评估中AI的负责任使用并维护学术诚信。
摘要：
将生成式人工智能（GenAI）工具整合到教育中，对教学和评估实践产生了革命性的影响，带来了新机遇，也带来了需要应对的新挑战。本文提出了综合AI评估框架（CAIAF），它是Perkins、Furze、Roe和MacVaugh提出的AI评估量表（AIAS）的演进版本，旨在实现AI在教育评估中的伦理整合。CAIAF的不同之处在于，它纳入了严格的伦理准则，基于教育水平进行了明确区分，并具备实时交互和个性化辅助等高级AI能力。本文开发的框架非常直观易用，主要通过使用颜色渐变来增强框架的用户友好性。在方法论上，该框架是在详尽的文献综述和对该主题的实践洞察的大力支持下开发的，成为可在不同教育环境中使用的动态工具。该框架将确保更好的学习成果，维护学术诚信，并促进负责任的AI使用，因此在现代教育实践中需要这一框架。
英文摘要：
The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale (AIAS) by Perkins, Furze, Roe, and MacVaugh, targeted toward the ethical integration of AI into educational assessments. This is where the CAIAF differs, as it incorporates stringent ethical guidelines, with clear distinctions based on educational levels, and advanced AI capabilities of real-time interactions and personalized assistance. The framework developed herein has a very intuitive use, mainly through the use of a color gradient that enhances the user-friendliness of the framework. Methodologically, the framework has been developed through the huge support of a thorough literature review and practical insight into the topic, becoming a dynamic tool to be used in different educational settings. The framework will ensure better learning outcomes, uphold academic integrity, and promote responsible use of AI, hence the need for this framework in modern educational practice.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
