This study presents the design and development of the 21st Century Teacher Educator for Ghana GPT, a customized Generative AI (GenAI) tool created using OpenAI's Retrieval-Augmented Generation (RAG) and Interactive Semi-Automated Prompting Strategy (ISA). Anchored in a Glocalized design approach, this tool supports pre-service teachers (PSTs) in Ghana by embedding localized linguistic, cultural, and curricular content within globally aligned principles of ethical and responsible AI use. The model utilizes structured, preloaded datasets-including Ghana's National Teacher Education Curriculum Framework (NTECF), UNESCO's (2023) AI guidelines, and culturally responsive pedagogies-to offer curriculum-aligned, linguistically adaptive, and pedagogically grounded learning support. The ISA enables users to input their institution, year, and semester, generating tailored academic content such as lecture notes, assessment practice, practicum resources, and action research guidance. The design incorporates the Culture and Context-Aware Framework, GenAI-CRSciA, and frameworks addressing GenAI neocolonialism to ensure equity, curriculum fidelity, and local relevance. Pilot implementation revealed notable strengths in language adaptation and localization, delivering bilingual support in English and Ghanaian languages like Twi, Dagbani, Mampruli, and Dagaare, with contextualized examples for deeper understanding. The GPT also generated practice assessments aligned with course objectives, reinforcing learner engagement. Challenges included occasional hallucinations due to limited corpora in some indigenous languages and access barriers tied to premium subscriptions. This design case contributes to discourse on Glocalized GenAI and calls for collaboration with OpenAI NextGen to expand access and empirically assess usage across diverse African educational contexts.
翻译:本研究介绍了"加纳21世纪教师教育者GPT"的设计与开发过程,该工具是基于OpenAI检索增强生成技术(RAG)与交互式半自动提示策略(ISA)构建的定制化生成式人工智能(GenAI)系统。采用"全球本土化"设计理念,该工具通过将本土化的语言、文化及课程内容嵌入全球公认的伦理与负责任AI使用原则中,为加纳职前教师提供支持。模型采用结构化预载数据集——包括加纳国家教师教育课程框架、联合国教科文组织(2023)人工智能指南以及文化响应式教学法——以提供课程对齐、语言自适应和教学法基础的学习支持。ISA机制允许用户输入所属院校、学年与学期信息,自动生成定制化学术内容,包括讲义笔记、评估练习、实习资源及行动研究指导。设计过程融合了文化情境感知框架、GenAI-CRSciA框架以及应对GenAI新殖民主义的理论框架,以确保教育公平性、课程保真度与本土相关性。试点实施显示该系统在语言适应与本土化方面表现突出,能够提供英语及加纳本土语言(如契维语、达格巴尼语、曼普鲁利语、达加雷语)的双语支持,并通过情境化案例促进深度理解。该GPT还能生成与课程目标匹配的实践评估,有效增强学习者参与度。面临的挑战包括部分本土语言语料库有限导致的偶发性幻觉现象,以及高级订阅服务带来的访问壁垒。本设计案例为全球本土化GenAI研究提供了实践参照,并呼吁与OpenAI NextGen开展合作,以拓展技术可及性并对非洲多元教育场景下的使用效果进行实证评估。