Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series
- URL: http://arxiv.org/abs/2601.06121v1
- Date: Sun, 04 Jan 2026 00:18:57 GMT
- Title: Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series
- Abstract summary: Generative artificial intelligence (GenAI) tools are increasingly adopted in education.<n>Yet many educators lack structured guidance on responsible and context sensitive prompt engineering.<n>This case report documents a three day online professional development programme organised by Generative AI for Education and Research in Africa.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Generative artificial intelligence (GenAI) tools are increasingly adopted in education, yet many educators lack structured guidance on responsible and context sensitive prompt engineering, particularly in African and other resource constrained settings. This case report documents a three day online professional development programme organised by Generative AI for Education and Research in Africa (GenAI-ERA), designed to strengthen educators and researchers capacity to apply prompt engineering ethically for academic writing, teaching, and research. The programme engaged 468 participants across multiple African countries, including university educators, postgraduate students, and researchers. The training followed a scaffolded progression from foundational prompt design to applied and ethical strategies, including persona guided interactions. Data sources comprised registration surveys, webinar interaction records, facilitator observations, and session transcripts, analysed using descriptive statistics and computationally supported qualitative techniques. Findings indicate that participants increasingly conceptualised prompt engineering as a form of AI literacy requiring ethical awareness, contextual sensitivity, and pedagogical judgement rather than technical skill alone. The case highlights persistent challenges related to access, locally relevant training materials, and institutional support. The report recommends sustained professional development and the integration of prompt literacy into curricula to support responsible GenAI use in African education systems.
Related papers
- Reshaping Undergraduate Computer Science Education in the Generative AI Era [85.78707817763434]
Generative AI represents a turning point for Computer Science (CS) education.<n>To keep pace with advances in AI technology, CS curricula should consider a shift toward understanding and verifying AI-generated artifacts.<n>We believe that to effectively prepare future computer science graduates, capable of creating, solving problems, and managing, as well as co-creating, artifacts with AI.
arXiv Detail & Related papers (2026-05-02T05:26:24Z) - Exploring Student Perception on Gen AI Adoption in Higher Education: A Descriptive Study [1.978884131103313]
This study examines how students perceive, use, and evaluate Generative Artificial Intelligence (GenAI)<n>Data were collected through a questionnaire administered to 436 postgraduate Computer Science students at the University of Hertfordshire.
arXiv Detail & Related papers (2026-03-29T17:19:39Z) - GenAITEd Ghana: A First-of-Its-Kind Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education [0.040881832071648215]
GenAITEd Ghana is a context-aware, region-specific conversational AI prototype developed to support teacher education in Ghana.<n>It 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.<n> Evaluation findings show that the system effectively enacted key Responsible AI principles, including transparency, accountability, cultural responsiveness, privacy, and human oversight.
arXiv Detail & Related papers (2025-12-31T20:24:38Z) - AI Literacy for Community Colleges: Instructors' Perspectives on Scenario-Based and Interactive Approaches to Teaching AI [0.500208619516796]
This research category full paper investigates how community college instructors evaluate interactive, no-code AI literacy resources designed for non-STEM learners.<n>As artificial intelligence becomes increasingly integrated into everyday technologies, AI literacy has emerged as a critical skill across disciplines.<n>We developed AI User, an interactive online curriculum that introduces core AI concepts through scenario - based activities set in real - world contexts.
arXiv Detail & Related papers (2025-11-07T15:51:53Z) - Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities [44.18936398140735]
Article explores the use of AI tools to facilitate and enhance education.<n> Primers are provided on several core technical issues that arise when using AI in educational settings.<n>The article serves as a resource for researchers and educators seeking to advance AI's role in engineering education.
arXiv Detail & Related papers (2025-09-10T19:19:26Z) - Methodological Foundations for AI-Driven Survey Question Generation [41.94295877935867]
This paper presents a methodological framework for using generative AI in educational survey research.<n>We explore how Large Language Models can generate adaptive, context-aware survey questions.<n>We examine ethical issues such as bias, privacy, and transparency.
arXiv Detail & Related papers (2025-05-02T09:50:34Z) - Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback [1.9841192743072902]
Existing AI tools for programming education struggle with key challenges, including the lack of Socratic guidance.<n>This study examines 1170 registered participants, analyzing platform logs, engagement trends, and problem-solving behavior to assess Sakshm AI's impact.
arXiv Detail & Related papers (2025-03-16T12:13:29Z) - Generative AI Literacy: Twelve Defining Competencies [48.90506360377104]
This paper introduces a competency-based model for generative artificial intelligence (AI) literacy covering essential skills and knowledge areas necessary to interact with generative AI.<n>The competencies range from foundational AI literacy to prompt engineering and programming skills, including ethical and legal considerations.<n>These twelve competencies offer a framework for individuals, policymakers, government officials, and educators looking to navigate and take advantage of the potential of generative AI responsibly.
arXiv Detail & Related papers (2024-11-29T14:55:15Z) - Enhancing Instructional Quality: Leveraging Computer-Assisted Textual
Analysis to Generate In-Depth Insights from Educational Artifacts [13.617709093240231]
We examine how artificial intelligence (AI) and machine learning (ML) methods can analyze educational content, teacher discourse, and student responses to foster instructional improvement.
We identify key areas where AI/ML integration offers significant advantages, including teacher coaching, student support, and content development.
This paper emphasizes the importance of aligning AI/ML technologies with pedagogical goals to realize their full potential in educational settings.
arXiv Detail & Related papers (2024-03-06T18:29:18Z) - Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities [1.2691047660244332]
We describe our work developing and deploying AI in Education tools in Africa for science and computing education.
SuaCode is an AI-powered app that enables Africans to learn to code using their smartphones.
AutoGrad is an automated grading, and feedback tool for graphical and interactive coding assignments.
Kwame for Science is a web-based AI teaching assistant that provides instant answers to students' science questions.
arXiv Detail & Related papers (2024-02-12T04:10:09Z) - Toward enriched Cognitive Learning with XAI [44.99833362998488]
We introduce an intelligent system (CL-XAI) for Cognitive Learning which is supported by artificial intelligence (AI) tools.
The use of CL-XAI is illustrated with a game-inspired virtual use case where learners tackle problems to enhance problem-solving skills.
arXiv Detail & Related papers (2023-12-19T16:13:47Z) - AGI: Artificial General Intelligence for Education [41.45039606933712]
This position paper reviews artificial general intelligence (AGI)'s key concepts, capabilities, scope, and potential within future education.
It highlights that AGI can significantly improve intelligent tutoring systems, educational assessment, and evaluation procedures.
The paper emphasizes that AGI's capabilities extend to understanding human emotions and social interactions.
arXiv Detail & Related papers (2023-04-24T22:31:59Z) - An Experience Report of Executive-Level Artificial Intelligence
Education in the United Arab Emirates [53.04281982845422]
We present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE)
Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes.
arXiv Detail & Related papers (2022-02-02T20:59:53Z) - Competency Model Approach to AI Literacy: Research-based Path from
Initial Framework to Model [0.0]
Research on AI Literacy could lead to an effective and practical platform for developing these skills.
We propose and advocate for a pathway for developing AI Literacy as a pragmatic and useful tool for AI education.
arXiv Detail & Related papers (2021-08-12T15:42:32Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.