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How to design edtech for students
For edtech to help individual learners, we need to go beyond big data, AI, and personalization and put them at the center of the design process. Building teams and processes to achieve this, here’s what I learned.
Unpacking the Black Box of Efficacy
Edtech is evolving too fast to wait for RCTs. This white paper explains how to effectively measure impact during development. Published by Drs Kara McWilliams, Adam Black, and team at Macmillan Learning.
An encyclopedia of Learning Design Principles
A number of teams are very usefully synthesizing learning science research into guidelines for edtech and content developers. This comprehensive suite is published under Creative Commons by Pearson and covers topics from objectives, to metacognition, and cognitive load.
Learning Engineering of a next-generation courseware
Can you engineer edtech for better outcomes? This white paper shows how for a new product: designing with learning science, using formative impact research to iteratively improve, and outcomes. Published by Drs. Kara McWilliams, Jeff Bergin, and Adam Black at Macmillan Learning.
Improving retention: signals and effective interventions
Retention is a major problem in higher education. What does learning science reveal about early signals and effective interventions? And, how can you build both into edtech to supports college staff? This white paper provides a research summary and practical tips by Dr. Jeff Bergin and team at Macmillan Learning.