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Dr Charlton is part of the AI/NLP OU lab researching on responsible AI designs, methods and systems with a particular focus on Education. She collaborates across the STEM research labs working on multidisciplinary research projects. Dr Charlton. has extensive research and development experience in the field of Computer Science, Artificial Intelligence, Education and Technology Enhanced Learning in the creation of intelligent systems and applications to support and deliver smart digital solutions. She also, leads on learning through making initiative and tangible authentic learning in computer science, which includes her research in widening participation and inclusion in STEM and humanities research events working with networks, such as MK girls coding community, schools, Cyber prevent, communities, industry, artists in residence, Tate/Khan project and coding the collection with British Museum etc.
She is currently the PI on The Inspire project to embed autonomous system design, skills and thinking into school and FE curriculum (AI, Robotics and IoT). Other recent projects include co-lead with Sheffield on SERAS (Skills & Education in Robotics and Autonomous Systems).
Her research in AI has been recognised by a number of standards and invention awards, while working in industry and includes her contribution to the field of computer science research.
Laurillard, Diana, Kennedy, Eileen,Charlton, Patricia, Wild, Joanna and Dimakopoulos, Dionisis ,(2018). Using technology to develop teachers as designers of TEL: Evaluating the learning designer. British Journal of Educational Technology, 49(6) pp. 1044–1058.
Charlton, P. and Avramides, K.(2016). Knowledge Construction in Computer Science and Engineering when Learning Through Making. IEEE Transactions on Learning Technologies, 9(4) pp. 379–390.