Das Leibniz-Institut für Wissensmedien (IWM) Tübingen hat gemeinsam mit dem Deutschen Literaturarchiv (DLA) Marbach eine App entwickelt, mit der das eigene Leseverhalten erforscht werden kann. Die App „literaturlesen“ kann ab sofort heruntergeladen werden und sowohl am Laptop als auch mit einem Android- oder iOS-Smartphone genutzt werden.
Learning analytics dashboards are single displays that combine different indicators about learners, the learning process and/or the learning context into one or multiple visualisations.
Trusted Learning Analytics beruhen auf vertrauensvollen Beziehungen zwischen Anwendern und Nutzern
FRAGEN AN (II/II) Hendrik Drachsler, Professor an der Goethe-Universität Frankfurt und Leiter des Arbeitsbereichs „Educational Technologies“ am DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, der sich nicht nur mit Bildungstechnologien auseinandersetzt, sondern auch daran arbeitet Learning Analytics an deutsche Hochschulen zu bringen.
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.
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.
See how real organizations use corporate learning analytics to report on and share information about learning programs while also proving L&D’s impact.
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.
Check an insightful discussion on which tool is better as regards Power BI Vs. Tableau and which one to choose in order to help you do your job better.
In this learning analytics post, explore what type of learning experiences (or activities) organizations collect and analyze about their learning program.
In this learning analytics blog post, Andrew Downes dives into the Data Evaluation complexity—including 16 analysis types that fall under this complexity.
In this learning analytics blog post, Andrew Downes explores the different dimensions within the Learning Experience category and related analytics—which focus on the learning experiences, platforms, and content themselves.
In this learning analytics blog post, Andrew Downes dives deeper into the dimensions within the learner categories and explores how organizations report on the data about their learners.
Zoola Analytics Dashboards can easily be embedded into your LMS for a seamless experience. Use drag-and-drop to customize dashboards exacty the way you want.
Learning Analytics: The concept of learning analytics is defined at first as “intelligent data for predicting and recommendation on learning, data created by learner, using analysis for discovering…
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?
The Baltimore startup has new dashboard and visualization tools for its platform, and is working to help create a new open source framework that can help advance the technology.
Purdue University researchers have developed a new way to track the effectiveness of online learning programs, speeches and businesses, and determine if anyone really cares enough to download the material.
Data visualizations are an easy-to-use, essential tool for understanding and communicating the complex stories that data and analytics can tell. Creating multiple visualizations allows a developer to explore the data and learn some of the interesting ideas, patterns, and surprises it contains.
With the Experience API we are able to collect more granular, high-resolution data from our learning tools and platforms. But once we have that data, how do we present it in ways that easily communicate the right insights to our stakeholders?
LA Quick Start is a service enabling institutions to begin the learning analytics journey using a sensible system of best practices for initiating a solid learning analytics foundation
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative.
Critical thoughts from a professor (mso) in the Department of Communication and Psychology at Aalborg University who works within the area of educational technology and is more specifically interested in Networked Learning, Problem Based Learning and collaborative learning
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining.
OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. All students with their risk of failure are available weekly to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.
Substantial progress has been made in understanding how teachers design for learning. However, there remains a paucity of evidence of the actual students’ response towards leaning designs.
At the University of Saskatchewan, our approach is to gather information about our students’ academic performance as well as demographic and activity data that could pertain to learning success.
The mission of the Tools for Evidence-based Action (TEA) community is to enhance evidence-based teaching methodology and policy by developing and sharing new education tools.
B. Kump, C. Seifert, G. Beham, S. Lindstaedt, and T. Ley. Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge, page 153--157. New York, NY, USA, ACM, (2012)