Research & development
My research interests connect artificial intelligence, learning, work, organisations and public-sector digital transformation. I am particularly interested in how AI-supported systems affect human agency, professional judgement, collaboration, accountability and institutional learning, and how these technologies can be designed, implemented and governed responsibly.
Current research direction
My research direction has grown from earlier work in mobile learning and educational technology into a broader interest in the interaction between AI, people and institutions. The three areas below reflect that progression and connect my academic background with professional experience designing and operating large-scale digital systems.
Pillar 01
How AI-supported and data-informed environments can strengthen learning, engagement, collaboration, professional development and learner support while preserving meaningful human interaction.
Pillar 02
How generative and agentic AI reshape professional work, judgement, collaboration, organisational learning and the ability of institutions to preserve knowledge and maintain continuity.
Pillar 03
How public institutions can adopt AI and digital technologies in ways that support accountability, transparency, human oversight, citizen agency, evidence-based governance and sustainable digital transformation.
Selected research output
Conference paper · 2022 · Commonwealth of Learning
Samuel Nuamah Boakye · Tenth Pan-Commonwealth Forum on Open Learning
The study examined the availability and implementation of mobile learning technologies among university students in Ghana. It explored how learners use mobile devices for educational activities, their engagement with mobile-supported learning, and the opportunities and challenges institutions face when integrating these technologies into teaching and learning.
Undergraduate research project · Computing & cybersecurity
This Bachelor of Computer Applications project examined privacy and security challenges associated with Internet of Things networks, including risks affecting connected devices, data and users, and approaches that can improve privacy and security in connected environments.
The project complements my broader interests in trustworthy digital systems, responsible technology adoption, privacy, security and the governance of connected and AI-enabled environments.
Research-informed practice
My professional work involves digital learning platforms, teacher professional-development systems, web applications, assessment tools, databases, cloud-hosted services and public-sector information systems. That practical exposure informs my interest in research that is methodologically rigorous while remaining connected to implementation, users, organisations and institutional realities.
I am particularly interested in settings where technology changes not only how people learn or work, but also how responsibility is distributed, how evidence is created and retained, how decisions can be challenged, and how institutions adapt over time.
Research approach
My research background includes survey research, questionnaire design, descriptive quantitative analysis, educational statistics and academic writing. My professional work also provides practical experience with institutional datasets, requirements gathering, stakeholder engagement, digital-system evaluation and the interpretation of operational evidence. I am interested in extending this foundation through qualitative, mixed-methods, participatory and longitudinal approaches where they are appropriate to the research question.
Survey design, questionnaire data, descriptive analysis and evidence-based interpretation.
Interviews, observation, stakeholder engagement and analysis of practices, experiences and organisational change.
Co-design and citizen-centred approaches that include affected users in the design and governance of technology.
Research informed by software, databases, infrastructure, workflows, data governance and real-world implementation.
Research trajectory
My research trajectory began with the use of mobile technologies in higher education and has expanded through professional experience in educational technology, software development, public-sector digital transformation and emerging AI-enabled systems. Across these areas, a consistent question remains: how can technology improve capability and access without weakening human agency, accountability, trust or institutional learning?
This question now motivates my interest in responsible AI, human-AI collaboration, citizen-centred design, regulatory learning, organisational resilience and the design of trustworthy public digital systems.
Research collaboration
I welcome conversations about funded doctoral research, interdisciplinary collaborations and research software development in artificial intelligence, educational technology, human-AI interaction, future of work, AI governance, citizen-centred AI, public-sector digital transformation and responsible digital systems. A detailed academic CV, transcripts and supporting research materials can be provided privately when relevant.
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