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Learning Analytics & Educational Data Mining

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Exploring Learning Analytics: How is it affecting corporate learning? Posted on : January 16th, 2015 With changing technologies, the learning industry is changing its expectations from e-learning as well.

Exploring Learning Analytics: How is it affecting corporate learning?

While until a few years ago e-learning was simply making learning available and accessible to learners, today learning professionals are keen on uplifting the user experience and want more out of the learning experience. One of the main concerns for L&D managers today is to make sure that the learning provided is aligned to the needs and requirements of the learners. This is reflected in the industry-wide interest in Big Data and adopting newer standards like Tin Can API that can help make sense of the data to churn useful inputs on learner experience. The trend of studying learner analytics to create adaptive learning is taking the learning industry by storm and the possibilities are endless.

Measuring Efficacy: Studying learner analytics, learning managers can ascertain how well an e-course impacts the learner. Arunima Majumdar. Learning Analytics. The 4 Levels Of Learning Analytics. Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching. Pro und Contra: Positionen zu Learning Analytics. Unter „Learning Analytics” versteht man die Erhebung und Auswertung von automatisch generierten Daten über Studierende und ihren Lernkontext, z.B.

Pro und Contra: Positionen zu Learning Analytics

Daten, die in einem Lernmanagement-System erhoben werden. Befürworter sehen darin Chancen für eine Verbesserung von Bildungsangeboten, Kritiker befürchten, dass es zu einer Kultur der Überwachung kommt und wissenschaftlich unbegründete Rückschlüsse über Lehr- und Lernprozesse gezogen werden. Prof. Dr. Ulrik Schroeder & Dr. Dr. Von Prof. Mit Methoden und Werkzeugen des "Learning Analytics" wird versucht, die Vorteile einer unmittelbar persönlich betreuten Lehre auf Situationen des E-Learning oder Blended Learning zu übertragen. In einer persönlichen Lehr/-Lernsituation, z.B. dem Klassenraum in der Schule, wird eine gute Lehrkraft das Lernverhalten der Lernenden beobachten und auch aktiv testen. The Promise of Learning Analytics Infographic. Other Infographics At The Promise of Learning Analytics Infographic you will review the road to more differentiated and personalized education.

The Promise of Learning Analytics Infographic

The Road To More Differentiated and Personalize Education Traditional Education In traditional education a class with student is on the way to finish line at about the same pace and using the same route. For some this is too fast, while for other this is too slow.Personalized EducationIn personalized education students work in their own way and at their own pace with the teaching material.Learning Analytics Can HelpThe measurement, collection, analysis and reporting of information about students and their environment is called Learning Analytics. Learning analytics. Learning Analytics. IMC-Learning Analytics-Whitepaper-DE.

Learning analytics don't just measure students' progress – they can shape it. As a society, we assess what we value.

Learning analytics don't just measure students' progress – they can shape it

Within education, we use metrics and grades to give students a sense of what "good" looks like and how they can achieve this. That's the aim. In practice, we end up assessing the knowledge and skills that we are able to measure, and setting aside others that we value. The development of learning analytics – data collected from students' online footprints showing how or when they study – gives us an opportunity to change this practice. Learning Analytics. Society for Learning Analytics Research. Potsdam-ws-la. LeMo – Lernprozessmonitoring. IJTEL40501 Ferguson%20Jan%202013. Knowledge Media Institute. Tech Report kmi-12-01 Abstract The State of Learning Analytics in 2012: A Review and Future ChallengesTechreport ID: kmi-12-01Date: 2012Author(s): Rebecca Ferguson Learning analytics is a significant area of technology‐enhanced learning that has emerged during the last decade.

Knowledge Media Institute

This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns.

It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Publication(s): Ferguson, R. (2012). Learning Analytics. Als "Learning Analytics" wird die Interpretation verschiedenster Daten bezeichnet, die von Studierenden produziert oder für sie erhoben werden, um Lernfortschritte zu messen, zukünftige Leistungen vorauszuberechnen und potenzielle Problembereiche aufzudecken (Horizon Report 2012).

Learning Analytics

Der Zugriff auf die Daten wird möglich, da Lernangebote und -prozesse in vielen Fällen mittels elektronischer Systeme unterstützt werden und dabei Daten über das Nutzungsverhalten erhoben werden können. Ziel ist es, mit Hilfe der Auswertung der Daten die Studierenden besser in ihrem Lernprozess zu unterstützen und letztendlich den Lehr-Lernprozess und Lehr-Lernerfolg insgesamt zu verbessern.

Educational data mining. Educational Data Mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

Educational data mining

At a high level, the field seeks to develop and improve methods for exploring this data, which often has multiple levels of meaningful hierarchy, in order to discover new insights about how people learn in the context of such settings.[1] In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences.[2] The field is closely tied to that of learning analytics, and the two have been compared and contrasted.[3] Definition[edit] Educational Data Mining refers to techniques, tools, and research designed for automatically extracting meaning from large repositories of data generated by or related to people's learning activities in educational settings. History[edit] Goals[edit] Learning analytics. Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.[1] A related field is educational data mining.

Learning analytics

For general audience introductions, see: