Learning analytics challenges to overcome in higher education institutions

While a large number of scientific publications explain the development of prototypes or the implementation of case studies in detail, descriptions of the challenges and proper solutions when implementing learning analytics initiatives are rare. In this chapter, we provide a practical tool that can be used to identify risks and challenges that arise when implementing learning analytics (LA) initiatives and discuss how to approach these to find acceptable solutions. In this way, implementers are given the opportunity to handle challenges early on and avoid being surprised at a critical moment in the project, which will save time, resources, and effort.

Transferring learning dashboards to new contexts: experiences from three case studies

This papers focuses on the use of learning dashboards in higher education to foster self-regulated learning and open education. Students in higher education have to evolve to independent and lifelong learners. Actionable feedback during learning that evokes critical self-reflection, helps to set learning goals, and strengthens self-regulation will be supportive in the process. Therefore, this paper presents three case studies of learning analytics in higher education and the experiences in transferring them from one higher education institute than the other. The learning dashboard from the three case studies is based on two common underlying principles. First, they focus on the inherent scalability and transferability of the dashboard: both considering the underlying data and the technology involved. Second, the dashboard use as underlying theoretical principles Actionable Feedback and the Social Comparison Theory.

Die Rolle der Bildungsinformatik für die Hochschule der Zukunft

Durch die Erfindung des Computers hat sich das Leben in verschiedenen Bereichen stark verändert: Mobilität und Vernetzung halten Einzug in das tägliche Leben. Um am Puls der Zeit zu bleiben, ist es notwendig auch das bis jetzt nahezu unveränderte Bildungssystem in die Zukunft zu tragen. Ob der zahlreichen politischen Diskussionen konnte man sich bis heute nicht flächendeckend darauf einigen, Informatik als eines der grundlegenden Fächer im Schulbetrieb zu verankern. Ziel der Bildungsinformatik ist es ein Bewusstsein für die notwendigen Kompetenzen der informatischen und medialen Belange der Gesellschaft der Zukunft zu schaffen.

Learning Analytics in Hochschulen

Unter dem Schlagwort “Big Data” hat sich in den letzten Jahren ein neues Forschungsfeld etabliert. Es handelt sich dabei um Datenmengen, die wegen ihrer Größe, hohen Komplexität, schnellen Vergänglichkeit oder schwachen Strukturierung mit klassischen Methoden der Datenverarbeitung nicht ausgewertet werden können. Das Ziel von Learning Analytics besteht darin solche Datenmengen im Kontext von Lehren und Lernen zu sammeln, zu analysieren und zu interpretieren um neue Erkenntnisse zu gewinnen. Ein wesentlicher Punkt dabei ist die Rückführung des gewonnen Wissens an die Lehrenden und Lernenden, um das Lehr- und Lernverhalten individueller und optimierter zu gestalten und die Entwicklung von Kompetenzen in dem Bereich zu fördern. In diesem Kapitel werden die Möglichkeiten von Learning Analytics genauer erläutert, um dann den Schwerpunkt Learning Analytics in Hochschulen näher zu beleuchten.

Learning Analytics in Higher Education – A Literature Review

This chapter looks into examining research studies of the last five years and presents the state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we used mixed-method analysis and searched through three popular libraries, including the Learning Analytics and Knowledge (LAK) conference, the SpringerLink, and the Web of Science (WOS) databases. We deeply examined a total of 101 papers during our study. Thereby, we are able to present an overview of the different techniques used by the studies and their associated projects. To gain insights into the trend direction of the different projects, we clustered the publications into their stakeholders.

Successful transition from secondary to higher education using learning analytics

The economic and financial crisis is having an important socio-economic effect in Europe and is threatening Europe’s economic growth model and employment and the sustainability of Europe’s welfare model. To counter the crisis, Europe should further evolve to a knowledge- driven and technology-based economy. This evolution however causes a rise in the demand for personnel with post-secondary education diploma, since many jobs in such a knowledge en technology-drive economy require at least a postsecondary education (Carnevale & Desrochers 2003). However, during the transition from secondary to higher education a lot of high-potential students drop out (Banger 2008).