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.
Researchers and educators have developed computer-based tools, such as automated writing evaluation (AWE) systems, to increase opportunities for students to produce natural language responses in a variety of contexts and subsequently to alleviate some of the pressures facing writing instructors due to growing class sizes
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?
This video describes a European research project - SHEILA (Supporting Higher Eduction to Integrate Learning Analytics). The content includes the goal, objectives, methodology, key findings, outputs, and recommendations.
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.
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.
von: Nina Wieczorek Einleitung Big Data – das große Thema der digitalen Transformation. Mit den rasanten digitalen Entwicklungen und der Informationsexplosion gehen zahlreiche Veränderungen einher. Diese Veränderungen spiegeln sich auch in unseren Bildungssystemen wieder, denn Big Data bietet auch für das Lernen enorme Potentiale. Ein Beispiel hierfür sind die beiden Entwicklungen von „Educational Data Mining“…
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.
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 use of big data and analytics in education continues to grow. A vast apparatus of measurement is being developed to underpin national education systems, institutions and the actions of the individuals who occupy them. […] The presence of digital data and software in education is being amplified through massive financial and political investment in…
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.
Here are the good reasons for you to get learning analytics in education or training, if you choose eLearning platform (LMS) for learning and development.
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.