In a previous post I talked a little about how universities (well their leaders anyway) are attracted to the predictive potential of learning analytics, and how this approach is fundamentally flawed.
By collecting and analyzing data, you will begin to paint a picture of what aspects of training are working, where you need to improve, and the steps you need to take to make those improvements
It never bodes well to dive into the unknown without preparation. To define, design and enable learning analytics, it’s essential to have a clear strategy in place. Prep yourself with these evaluation questions before you dive into learning analytics.
Planning to implement learning analytics but don’t know where to start? Take a look at this checklist for implementing learning analytics successfully.
New piece based on Shibani’s PhD work on writing analytics, and the perspective of the educators in adopting and adapting a writing analytics technology and learning design to their contexts.
Seit dem 01. Dezember 2021 fördert das Bundesministerium für Bildung und Forschung (BMBF) im Rahmen der Förderlinie „Digitale Hochschulbildung“ das Verbundprojekt IMPACT – Implementierung von KI-basiertem Feedback und Assessment mit Trusted Learning Analytics in Hochschulen.
21.06.2022 Im Projekt Knight erforscht die Hochschule für Technik Stuttgart den Einsatz von Learning Analytics und künstlicher Intelligenz in der Lehre. Untersucht wird, wie Lernprozesse automatisiert unterstützt werden können, KI in der Lehre verankert werden kann, aber auch wie die Lehrenden von administrativen Aufgaben entlastet werden können.
Thousands of students and teachers across Wales will benefit from cutting-edge data analytics technology to improve student engagement, retention and performance as a result of a funding boost to be announced today by the Higher Education Funding Council for Wales (HEFCW) and Jisc.
Commentary on Artificial intelligence in education: what issues do we need to start considering now? by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome.
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?
In Latin America (LATAM), socioeconomic inequality and lack of resources shape the context of educational institutions in particular ways. Programme quality and dropout rates preoccupy educationalists and governments.
Seit nahezu einer Dekade werden Learning Analytics im Hochschulkontext als Ansatz zum Verständnis sowie zur Optimierung von Lehr-Lern-Prozessen und Lernumgebungen verwendet. Der Beitrag skizziert zentrale Entwicklungslinien von Learning Analytics und geht auf deren Potenziale sowie damit verbundene Fragen zum Datenschutz ein. Basierend auf einer systematischen Übersichtsarbeit und Stakeholderinterviews werden Handlungsempfehlungen für die Implementation von Learning Analytics an Hochschulen vorgestellt. Der Ausblick diskutiert aktuelle Forschungsdesiderata.
Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion.
Learning analytics (LA) is a technology for enabling better decision-making by teachers, students, and other educational stakeholders by providing them with timely and actionable information about learning-in-process on an ongoing basis.
Smarte Ausstattung: Um das Lernen der Zukunft digital zu gestalten, benötigen Schulen passende technische Ausstattung. Die Auswahl ist jedoch jedoch rießig.
Whether they’re driven by commercial interests or not, most developers and companies care about positive impact. Of course, impact helps in selling products, but it’s also a key motivation in why people develop and refine technologies: they care about supporting learning.
How can product developers use data analytics to improve products, prove their effectiveness, and increase the fidelity of implementation? Learn more in the latest Nexus story by Rachel Schechter
... 6. Learning analytics play an important role in informing appropriate and effective student interventions, including through predictive modelling and personalising the learning experience.
David Jones, Hazel Jones, Colin Beer, Celeste Lawson
To appear in the proceedings of the 2017 Australian Learning Analytics Summer Institute (ALASI 2017)
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
Find out what learning analytics are and what strategies organizations are using to implement successful learning analytics initiatives in this edition of the Yet Podcast with Scott Weersing, Director of Learning Analytics at GP Strategies.