{
  "annotation_id": "e158d53e-e4d6-470d-b4d4-1256688e6a74",
  "date_created": "2026-02-17T05:53:04.900000Z",
  "date_modified": "2026-02-17T05:53:04.900000Z",
  "file_hash": "17f1f22d2afb82651f5c9ae039329a992503a9171881cc0b64e97bcf78a8a3f8",
  "private": false,
  "record": {
    "abstract": "Global frameworks increasingly advocate for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curriculum-aligned AI can be operationalized within functioning teacher education systems, particularly in the Global South. This study addresses this gap through the design and evaluation of GenAITEd Ghana, a context-aware, region-specific conversational AI prototype developed to support teacher education in Ghana. Guided by a Design Science Research approach, the system was developed as a school-mimetic digital infrastructure aligned with the organizational logic of Ghanaian Colleges of Education and the National Council for Curriculum and Assessment (NaCCA) framework. GenAITEd Ghana operates as a multi-agent, retrieval-augmented conversational AI that coordinates multiple models for curriculum-grounded dialogue, automatic speech recognition, voice synthesis, and multimedia interaction. Two complementary prompt pathways were embedded: system-level prompts that enforce curriculum boundaries, ethical constraints, and teacher-in-the-loop oversight, and interaction-level semi-automated prompts that structure live pedagogical dialogue through clarification, confirmation, and guided response generation. Evaluation findings show that the system effectively enacted key Responsible AI principles, including transparency, accountability, cultural responsiveness, privacy, and human oversight. Human expert evaluations further indicated that GenAITEd Ghana is pedagogically appropriate for Ghanaian teacher education, promoting student engagement while preserving educators\u0027 professional authority. Identified challenges highlight the need for continued model integration, professional development, and critical AI literacy to mitigate risks of over-reliance.",
    "arxiv_id": "2601.06093",
    "authors": [
      "Matthew Nyaaba",
      "Patrick Kyeremeh",
      "Macharious Nabang",
      "Bismark Nyaaba Akanzire",
      "Sakina Acquah",
      "Cyril Ababio Titty",
      "Kotor Asare",
      "Jerry Etornam Kudaya"
    ],
    "categories": [
      "cs.CY",
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "GenAITEd Ghana: A First-of-Its-Kind Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education",
    "url": "https://arxiv.org/abs/2601.06093",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ae36d934-e5c3-4631-819c-cd07416f2eb8",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}