La Journée Thématique (JT) du CUME portant sur les Learning Analytics ou Traces d’apprentissage, a eu lieu le 10 octobre 2019, à la Maison des Universités à Paris
IRU publications set out the need for change in response to major issues affecting higher education. The IRU provides a set of considered actions in response for government, public and universities to take up.
The 2019 Association for Learning Technology awards took place on Wednesday 4th September with the SHEILA project receiving the ALT 2019 research project award.
fter a fruitful collaboration between the different partners, the Erasmus+ project “Supporting Higher Education to Incorporate Learning Analytics” (SHEILA) concluded in September 2018. The project aimed to build a policy development framework that supports systematic, sustainable, and responsible adoption of learning analytics (LA) at institutional level.
An simple introduction to Python dash framework with examples which will show how to write your first dash application, add css and event handling. Also, how to add file upload feature.
The ASCILITE Learning Analytics Special Interest Group (LA-SIG) aims to develop awareness and resources about Learning Analytics (LA) and its application to learning and teaching. We focus on facilitating networks and sharing practices among the LA community across Australia and New Zealand.
Welcome to the “Crowd Layers” dashboard, a public service for Capturing and Reporting Open Web Data for Learning Analytics, Annotation, and Education Researchers (CROWDLAAERS). This real-time dashboard visualizes group – or crowd – discourse layers added via Hypothesis open web annotation to online documents.
Learning Analytics seems to be the hot topic in L&D in 2019. Practitioners know they need help with this, but if you lack confidence and skill in analytics, where do you start?
Hello! I’m Shibani, a Researcher and Doctoral candidate in Learning Analytics at the Connected Intelligence Centre, University of Technology Sydney, Australia.
This Moodle plugin adds a new predictive model to identify students that are likely to miss assignment due dates. The model automatically generates insights for teachers about these students.
By Simon Buckingham Shum on May 4th, 2019.
A heads-up that three collections will hit the streets this year focused on how we can design so that human needs and values are well and truly centre-stage in educational tools powered by data, analytics and AI.
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