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.
M. Tavakoli, A. Faraji, M. Molavi, S. Mol, и 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.