Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series

Fuente: arXiv
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Auteurs principaux: Quarshie, Benjamin, Willemse, Vanessa, Nabang, Macharious, Akanzire, Bismark Nyaaba, Kyeremeh, Patrick, Maigari, Saeed, Adomina, Dorcas, Kwarteng, Ellen, Majialuwe, Eric Kojo, Gibbs, Craig, Kudaya, Jerry Etornam, Koma, Sechaba, Nyaaba, Matthew Nyaaba Matthew
Format: Preprint
Publié: 2026
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author Quarshie, Benjamin
Willemse, Vanessa
Nabang, Macharious
Akanzire, Bismark Nyaaba
Kyeremeh, Patrick
Maigari, Saeed
Adomina, Dorcas
Kwarteng, Ellen
Majialuwe, Eric Kojo
Gibbs, Craig
Kudaya, Jerry Etornam
Koma, Sechaba
Nyaaba, Matthew Nyaaba Matthew
author_facet Quarshie, Benjamin
Willemse, Vanessa
Nabang, Macharious
Akanzire, Bismark Nyaaba
Kyeremeh, Patrick
Maigari, Saeed
Adomina, Dorcas
Kwarteng, Ellen
Majialuwe, Eric Kojo
Gibbs, Craig
Kudaya, Jerry Etornam
Koma, Sechaba
Nyaaba, Matthew Nyaaba Matthew
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_06121
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series
Quarshie, Benjamin
Willemse, Vanessa
Nabang, Macharious
Akanzire, Bismark Nyaaba
Kyeremeh, Patrick
Maigari, Saeed
Adomina, Dorcas
Kwarteng, Ellen
Majialuwe, Eric Kojo
Gibbs, Craig
Kudaya, Jerry Etornam
Koma, Sechaba
Nyaaba, Matthew Nyaaba Matthew
Computers and Society
Artificial Intelligence
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.
title Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2601.06121