Youssef El Bouhassani (HvA): Modular content as a necessary condition for unlocking the potential of algorithms in personalised education
The promise of AI to reduce the workload of teachers and create equal opportunities for students is not here yet. The methodology and tools to create modular content, allows both teachers and algorithms to provide personalized learning. The objective is allowing students to learn in a personalized and engaging way. By making use of an online library of modular content, educators will be able to create courses in a matter of clicks and leverage the power of algorithms to provide world class and personalised education.
Pepijn van Rutten and Edcel Salumbides (VU): Respira: a laughing gas breath sensor to reduce accidents on the road Traffic accidents caused by driving under the influence of laughing gas have increased more than ten-fold in the past few years. This leads to more than 100 severe injuries and sadly, more than 20 deaths in […]
Sara Geven (UvA): On track: a scientifically-informed ability tracking procedure to enhance equal learning opportunities Students in the Netherlands are allocated to different educational tracks at the age of twelve based on their teacher’s recommendation. Studies show students from disadvantaged backgrounds receive less ambitious track recommendations. Even within the same school, teachers use different tracking […]
Emitzá Guzmán (VU): The Best Ends by the Best Means: Bringing Ethics into Software Computer software is full of ethical problems. It manipulates voters, discriminates by people’s gender, race or social standing, raises enormous privacy problems and is often designed to be highly addictive. Very slowly, Parliaments and Congresses around the world are catching up […]