Open learning call

Open learning – from understanding learning to human-machine paradigms

Many of the world’s greatest current opportunities and pressing challenges were unheard of a few decades ago — but our education systems have changed little. With this call we launch a comprehensive Open Science of Learning research effort to study and improve the learning practices, culture, and scope for today and tomorrow. Open Science of Learning assures inclusion of all stakeholders in the research cycle, from hypothesis generation to data collection, analysis, replication, and translation. It transforms the research paradigm from considering learners and teachers as data providers to including them in a more meaningful way, as collaborators and researchers in their own right.

We seek scientists who will develop citizen science of learning through new types of platforms and tools that connect all stakeholders (learners, parents, teachers, researchers, institutions) and can curate and advance novel learning methodologies. Future fellows are invited to create realistic, feasible and cost-effective models for evaluation and validation of teaching methodologies, especially based on the power of data science, AI and machine learning techniques. We support investigation into technology and digital tools in learning that can surpass geographic constraints and enhance accessibility to knowledge. We are motivated by adaptive, personalized approaches to learning, specifically going beyond classical MOOCs and towards a distributed, scalable peer-to-peer models that can span across time, cultures and settings. We do not limit the range of learning subjects, but wish to contribute to the UN Sustainable Development goals (e.g., SDG4 on Quality education). Similarly, we wish to expand the range of study settings to include learning in non-human, digital, and hybrid systems. Entrepreneurial projects as well as those investigating education policy and how to best prepare today’s learners for the society of tomorrow are equally welcome.

We pursue candidates who embrace open science and are able to harness the power of participative science to successfully scale and catalyze their projects. Potential candidates should be inspired and guided the themes discussed during the workshop on Open Learning recently held at CRI, summarized here, as well as by the 10 tenets of Open Science established in a more recent Open Health workshop.