xAPI, or Experience API, or Tin Can API is one of the biggest developments in Learning and Development. Here's how it could impact personalised learning.
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.
How far can one go to give personalised learning and careers advice to further education (FE) learners? It is certainly a challenge, given the sheer breadth of the sector.
Durch digitale Lernplattformen können vermehrt Daten über Lernende, Lerninhalte und die Lernsituation ausgewertet werden. Die algorithmische Analyse nennt sich Learning Analytics. Diese Analyse ermöglicht einen individuellen Lernprozess sowie eine Früherkennung von Lernschwächen. Learning Analytics bergen allerdings auch einige Nachteile.
As part of our mini-series Podcast in AI in Education: Pedagogy first, senior AI specialist Tom Moule speaks with Scott Hayden from Basingstoke College of Technology about they are using AI to support personalised learning.
The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all.
Das Projekt „Kontextbasierte und adaptive Maßnahmen für effektive Lernunterstützung in der Online-Weiterbildung“ – kurz KAMAELEON – des Mannheimer Wirtschaftspädagogikprofessors Dirk Ifenthaler zählt zu den Gewinnerprojekten des Innovationswettbewerbs INVITE.
The OnTask Project aims to provide personalised, timely support actions to large student cohorts. The two-year project started in 2016 and is funded through a Strategic Priority Commissioned Grant by the Office of Learning and Teaching (OLT) of the Australian Government.
The current state of higher education has increasing pressure over academics to offer high quality experience at scale. But what could be the actions that can be deployed to achieve this increase?
M. Tavakoli, A. Faraji, M. Molavi, S. Mol, and G. Kismihók. (2021)cite arxiv:2112.12100Comment: This paper has been accepted to be published in the 12th International Learning Analytics and Knowledge (LAK'2022), March 21--25, 2022. ACM.