Analysing child development data with machine learning and sequence clustering

This Knowledge Transfer Project (13210) is being funded by UKRI and the supporting academic team are Keeley Crockett, David Mclean and Annabel Latham.

Speakers

• Cath Evans, Content Team Leader, Child Development My First Five Years
• James Ennis, Machine Learning Engineer, KTP Associate, My First Five Years

Cath Evans
Cath is the content team leader for the child development team at My First Five Years. The child development team researches and writes content including the skills journey, activities, articles, and books.

Before joining My First Five Years she was a teacher for 25 years, working in various early years settings including a pack-away pre-school, a children’s centre as deputy headteacher and special educational needs co-ordinator of a maintained nursery school.

Cath is a qualified teacher, has a master’s in childhood studies and is currently completing a second masters in psychology.

James Ennis
James is a machine learning engineer working on a Knowledge Transfer Partnership (KTP) between Manchester Metropolitan University and My First Five Years, a startup company based in Didsbury, Manchester.

James has a Masters in computer science and has worked on a previous project that aimed to help the police detect child grooming in online messages using machine learning.

About the Special Interest Group (SIG) for Artificial Intelligence in Education

This SIG sits under the Machine Intelligence Research Theme and is led by Dr Annabel Latham.  We hope to promote closer relationships between researchers from any discipline interested in Artificial Intelligence in Education.

Our team conducts research into conversational intelligent tutoring systems and new systems for assessing the programming language SQL at undergraduate level.

We place a strong emphasis on the ethical implications of the use of AI in the general field of education. The SIG hopes to foster cross-disciplinary collaborations in terms of sophisticated data analysis, grant collaborations and ultimately, ambitious research projects.