How are analytics and machine learning transforming education now, and what is the potential for the future? Hear examples of education leaders who are using analytics & ML to understand student performance and develop new forms of teaching and support. Carnegie Mellon has developed SARA, a socially aware robot tutor, and Unizin and Ivy Tech are using analytics and ML to understand student performance and pilot interventions. Learn how Google is bringing ML to education and organizations.
Join NYU-LEARN and Drs. Paul Prinsloo and Ravi Shroff in an engaging conversation on how we can productively navigate the intersection of learning analytics and equity and consider the role of educational data science as a tool for social justice.
This session was led by Juan Pablo Sarmiento and introduces learning analytics researchers and practitioners to a collection of tools that can be used to scaffold the effective and authentic participation of stakeholders in the design, implementation and evaluation of Learning Analytics systems.
The first webinar focused on research and case studies relating to the ‘Alert’ stage of supporting students at risk (Alert > Communications > Intervention)
Through 3 key case studies, Rachel Thomas covers how people can be harmed by machine learning gone wrong, why we as machine learning practitioners should care, and what tech ethics are.
Prof Neil Selwyn, Professor of Maths Science & Technology, Monash University
Dr Luci Pangrazio, Research Fellow in Digital Literacies, Deakin University
Using deep learning to understand the level of attention and engagement of students. Ensuring privacy, having real-time feedback on the delivery of coursework will help lecturers/presenters, make improvements vs. waiting once or twice a year for this information.
In dieser Folge untersucht der Publizist Frank Siepmann mit dem Learning-Analytics-Wissenschaftler Prof. Dr. Dirk Ifenthaler die Fragen: Wie werden Learning Analytics definiert und was steckt dahinter?
Learning Analytics (LA) is a new promising field that is attracting the attention of education providers, including teachers, learning designers and academic directors. Researchers and practitioners are interested in learning analytics as it can provide insights from student data, for example, students’ learning processes, automatically identifying learners in need and visualising learners’ behaviour.
Hendrik Drachsler is Professor of Educational Technologies and Learning Analytics, Goethe University Frankfurt am Main & Leibniz Research Institute, Germany and Open Universiteit, Netherlands
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