Leads SILT’s interdisciplinary research into AI-supported learning, cognitive development, learner agency, and responsible technology design
Adaptive learning systems
Esther Bawo Tsotso
Principal Investigator / Research Lead, Adaptive Learning Systems
Software engineer, former educator, and human-centered AI product builder exploring how intelligent systems can strengthen learning without replacing the cognitive work learners need to perform themselves.
Esther Bawo Tsotso is a software engineer, former teacher, broadcaster, and human-centered AI product builder. Her work brings together education, communication, software engineering, and applied research into how intelligent systems can support learning, learner agency, and responsible interaction with technology.

Bio
Esther Bawo Tsotso is a software engineer, former educator, broadcaster, and human-centered AI product builder whose work sits at the intersection of learning, technology, communication, and responsible AI.
Her professional journey began in education, where she taught Computer Studies, Mathematics, English, and Biology to primary and junior secondary learners. Working directly with students introduced her to the practical differences in how learners understand explanations, respond to difficulty, develop confidence, and move between guided and independent work.
She later trained in radio broadcasting and journalism and worked across radio and television as an intern, presenter, radio host, and news anchor. Her years in broadcasting strengthened her ability to research, communicate complex information clearly, facilitate conversations, and translate ideas for different audiences.
Following the COVID period, Esther transitioned into frontend engineering and digital product development. She has since worked across frontend engineering, open-source development, artificial intelligence and machine learning, and AI-powered product engineering. Her technical work has included multimodal and agentic AI systems, on-device intelligence, natural language processing, text-to-speech systems, product strategy, interface design, and cross-functional product delivery.
These experiences eventually converged around a central research question: how can AI support learning without replacing the cognitive work learners need to perform themselves?
Esther now leads SILT, where she coordinates interdisciplinary research into how rapidly evolving technology and AI-supported systems can be designed to support learning, cognitive development, learner agency, and healthy interaction with technology. Her current research interests include productive cognitive effort, appropriate reliance on AI, metacognitive monitoring, help-seeking, human connection, age-appropriate design, model behaviour, and responsible AI governance.
Her work at SILT brings these questions into an interdisciplinary institutional programme spanning research and carefully bounded applied inquiry through SILT Labs.
At SILT
At SILT, Esther defines and leads the institute’s research agenda, coordinates interdisciplinary contributions, translates learning-science principles into testable product and system interventions, and develops approaches for observing model behaviour, instructional decision-making, and learner interaction. Her research focuses on how AI-supported systems can improve learning while preserving learner agency, productive cognitive effort, appropriate help-seeking, human connection, and responsible technology use.
Selected Experience
Experience that informs the work.
Led a multidisciplinary team in developing Echo, an AI-powered SafetyTech platform using multimodal, on-device, reasoning, and agentic AI workflows
Contributed to the development of a machine-learning and NLP-powered text-to-speech application during an AI/ML internship at UNICCON Group
Completed frontend engineering work through HNG Tech and open-source development through Aden
Worked in radio and television broadcasting as a radio host, presenter, and news anchor, developing experience in research, public communication, and live audience engagement
Taught primary and junior secondary learners across Computer Studies, Mathematics, English, and Biology
Began working with technology and computer instruction after joining a cyber café as a student and being invited to become an employee approximately one month later
Research updates
Esther Bawo Tsotso’s published work in progress.
Published weekly updates will appear here once the current case study begins.
