Daniel McCrea – Adaptemy

Head of Publisher Services

Daniel is Head of Publisher Services at Adaptemy. Adaptemy specialises in Adaptive Learning. They capture 1000’s of data points from students and teachers to improve learning effectiveness and outcomes. Adaptemy have launched products with some of the largest educational publishers in Europe including Raabe/Klett, AulaPlaneta and Folens and provided consultancy services to many more to define their strategic vision for content creation and management.

His products with Adaptemy have been finalists in the big 3 EdTech Awards in 2017/18: Bett, EdTech and GESA. 

Daniel came to Adaptemy after leading major projects for the largest educational publisher in North America: Houghton Mifflin Harcourt including delivery of the Award-Winning Go Math Academy. Prior to that, he managed enterprise CRM software implementations for blue chip companies like BlueCoat, Redhat, and Novell while working at ServiceSource.   

He is establishing himself as a thought leader in: Structured Content Creation Processes and managing an organisation’s transformation to becoming data-driven. A key concern, and the topic of his talk is the creation of content which can support Machine Learning to deliver actionable insights for users across an organisation.

He holds an M.A. in Philosophy and has been certified by PMP® and PRINCE2® for Project Management. 

At ConTech 2019 Daniel spoke about how Adaptemy leverage student activity data to improve the content curriculum map for an educational partner in China: How best to guide an individual learner through the curriculum of the course of study.

This year he would like to update the ConTech audience on their progress modelling student data to evaluate and improve the quality of the content itself. Their Content Model reconciles pre-defined metadata with real user experience, including difficulty level, discriminance, probability of guessing, probability of having a slip, expected time to solve the question. It also contains real-time analytics of its usage and impact on learning effectiveness. He’ll be zeroing in on a real case study from an educational partner in Spain.

Applying machine learning to educational content to get actionable data Daniel Mccrea