Self-Regulated Learning and its implications for edtech design and implementation
The purpose of this paper is to introduce constructs of self regulated learning to edtech designers, and to inspire evidence-based applications of these constructs.
Motivation, feedback and mindsets in learning with EdTech
This review covers the constructs of motivation, feedback and mindset in education to help us understand how edtech products and services might be enhanced.
Evidence summary: Measuring wellbeing with educational technology. How can research on wellbeing inform better educational technology?
The purpose of this paper is to help edtech designers understand wellbeing and how to use different measurement strategies in an educational/digital technology context.
Evidence Summary: Artificial Intelligence in education
Artificial Intelligence (AI) is everywhere but the messages we get about it are mixed and contradictory. At once, it is dangerous yet supportive, all-consuming and yet freeing. AI feels like a moving target. If there is one definitive fact about AI, it’s that it will require us to learn throughout our lives.
Moving Intelligence Forward with AI
AI is already having a big impact on education and many are predicting the various ways in which the robots will take over the world. Professor Rose Luckin looks at the current state of play and suggests a new model of intelligence for educators that focuses on the importance of being human.
Lifelong Learning: A Critical Factor for Survival
Growing longevity puts us in front of a real possibility that many of us will live over 80, 90 and even 100 years. The world changes faster than ever and, in order to prosper, we have to learn how to face these changes and all the challenges and opportunities that come with it.
The Agile Innovation of Startups
How can you find good, innovative ideas that lead to business opportunities? Three exploration frameworks—changing what doesn’t work, making things easier for customers, and making things more affordable—can reduce the risk and uncertainty associated with new projects.