Charles Baird, data architect at the Data Standards Authority, and Phil Richards, chief innovation officer for data analytics at Jisc, discuss how data standards are developing across government, and their impact on higher education.
As the use of digital teaching and learning resources continues to expand, the volume and variety of data available to researchers presents new opportunities for understanding and improving STEM education.
The 1st Workshop on Philosophy of Learning Analytics (POLA) at the 11th International Conference on Learning Analytics and Knowledge (LAK21). Online April 12/13, 2021
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.
Jeff Greene and Matt Bernacki are learning scientists in the UNC-Chapel Hill School of Education. They leverage the data that students create when they use digital resources to help them learn.
Im März steht Frankfurt am Main im Zeichen von Learning Analytics: Aus allen Teilen der Welt strömen dann wissenschaftliche Expertinnen und Experten für diesen Teilbereich der digitalen Bildung auf den Campus Westend, um sich auf einer Konferenz über entsprechende Weiterentwicklungen und Perspektiven auszutauschen.
At the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This third in a series of three blog posts discusses the importance of governance, collaboration, and communication to an analytics future.
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.
The Student Engagement Team is a small professional services team that leads on the NTU Student Dashboard. The Dashboard is the first learning analytics resource implemented in a large physical UK university, widely used both staff and students.
Higher education (HE) professionals will discover the power of data dashboards in a new continuing professional development (CPD) service launching this month. Catherine O’Donnell, who has already sampled analytics labs as a beta service, describes how the programme benefited her.
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.
Implementing a learning analytics system across all higher education institutions in Wales provides a model for the opportunities for such services at a national scale.
Progress on data and analytics has stalled. EDUCAUSE is working with NACUBO and AIR to produce an analytics statement advocating for these important efforts in higher education and modeling the collaborative spirit needed for success.
During last few years, possibilities to exploit learning analytics have gained attention in Finnish educational institutions. National development of learning analytics functionalities has emerged, but internationally focused conversation around the topic would enrich the national work.
(This is the second part of a report of the #LAK19 conference. See Part 1 here.) It was the only beginning of many fun conversations when the Main Conference kicked off on Wednesday! Our conference and program chairs delivered an exciting welcome message. LAK is becoming larger, Largest LAK ever & 60% attendees are 1st timers! - shared by conference chair @shoha99 #LAK19 pic.twitter.com/k7C02NGWol — Bodong Chen (@bod0ng) March 6, 2019
SWARM is a cloud platform aimed at improving analytical reasoning in intelligence work. SWARM tries to improve analytical reasoning by improving collaboration within groups of analysts rather than by trying to structure their thinking in any particular way.
In an exciting new paper from the Health Simulation Analytics project, we document our approach to give meaning to multimodal group activity data, in order to give personalised feedback to teams as quickly as possible.
Now that the “the only constant is change” in society, our capacity to engage with novel challenges is of first order importance. What are the personal dispositions that authentic learning needs to cultivate, and can we make these assessable and visible to learners and educators?