activity
20242026
most citedTransforming Teacher Education in Developing Countries: The Role of Generative AI in Bridging Theory and Practice

8 citations · 19 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Human-AI Collaborative Inductive Thematic Analysis: AI Guided Analysis and Human Interpretive Authority

Matthew Nyaaba, Min SungEun, Mary Abiswin Apam +3

The increasing use of generative artificial intelligence (GenAI) in qualitative research raises important questions about analytic practice and interpretive authority. This study e…

cs.CY2026

GenAITEd Ghana: A First-of-Its-Kind Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education

Matthew Nyaaba, Patrick Kyeremeh, Macharious Nabang +5

Global frameworks increasingly advocate for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curr…

cs.CY20261 cited

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

Benjamin Quarshie, Vanessa Willemse, Macharious Nabang +10

Generative artificial intelligence (GenAI) tools are increasingly adopted in education, yet many educators lack structured guidance on responsible and context sensitive prompt engi…

cs.CY20251 cited

Human Experts' Evaluation of Generative AI for Contextualizing STEAM Education in the Global South

Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh +7

STEAM education in many parts of the Global South remains abstract and weakly connected to learners sociocultural realities. This study examines how human experts evaluate the capa…

cs.CY20252 cited

Glocalizing Generative AI in Education for the Global South: The Design Case of 21st Century Teacher Educator AI for Ghana

Matthew Nyaaba

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-Augmente…

cs.HC20251 cited

Optimizing Generative AI's Accuracy and Transparency in Inductive Thematic Analysis: A Human-AI Comparison

Matthew Nyaaba, Min SungEun, Mary Abiswin Apam +2

This study highlights the transparency and accuracy of GenAI's inductive thematic analysis, particularly using GPT-4 Turbo API integrated within a stepwise prompt-based Python scri…