Blog zur bundesweiten Projektstudie LeHo. Wie verändern Digitalisierung und die Einführung von aktivierenden, team- und projektorientierten Lehrformaten die Lernräume und Seviceangebote an Universitäten und Hochschulen?
Meine Profile auf Research Gate Academia Google Scholar 2018 Deimann, M. Bildung und Netz. Forum Wissenschaft, 35(4), 27-29. [Kommentierbare Version] Deimann, M. Open Education. Auf dem Weg zu einer offenen Hochschulbildung. Bielefeld: transcript. ISBN: 978-3-8376-4496-8 Deimann, M. Lernen mit Open Educational Resources. In H. Niegemann & A. Weinberger (Hrsg.), Lernen mit Bildungstechnologien: Praxisorientiertes Handbuch zum intelligenten…
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…
This latest blog explores what is xAPI and how to use it to accelerate modern elearning success. We take a closer look at xAPI and share some real-world examples of it in action. Widely replacing SCORM xAPI is redefining tracking a measuring elearning programs.
As I delve more in to the world of xAPI and gain a higher level of understand as well as it's full potential, Data Driven Learning Design and based on Data Driven Body Language has crept into many of my searches.
xAPI has arrived! While some might still debate if xAPI is “ready,” we feel that it clearly is here to stay, and can now make a tremendous impact on your organization through authoring tool xAPI support “out of the box.” xAPI promises significantly improved insight into learners and more varied data and data streams.
Learning analytics (LA) is a multi-disciplinary field that involves machine learning, artificial intelligence, statistics, information retrieval, and visualization. It primarily deals with developing methods that harness educational data to support learning process(es).
At a time when technology is revolutionizing education, what draws one’s attention immediately are students and how their experience is changing with the changing education environment.
S. Zhao, and S. Sahebi. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 183–188. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)
D. Baig, D. Nurbakova, B. Mbaye, and S. Calabretto. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 561–566. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)
F. Borgia, C. Bianchini, and M. De Marsico. Universal access in human-computer interaction: universal access to information and knowledge, 8514 (2), page 221-232. Berlin, Springer, (2014)