PosterPDF Available

Rechtschreiblernen durch Learning Analytics

September 2016

Conference: Symposion Deutschdidaktik 2016
At: Ludwigsburg, Germany

Authors:

Konstanze Edtstadler

Pädagogische Hochschule Steiermark

Markus Koschutnig-Ebner

Graz University of Technology

Graz University of Technology

Landesinstitut für Pädagogik und Medien

Show all 16 authorsHide

Ziel ist die Bereitstellung einer Internetplattform für Kinder zwischen acht und zwölf Jahren zum Verfassen von Texten. Aufgrund der interdisziplinären Entwicklung (Medieninformatik und -didaktik, Fachwissenschaft und -didaktik Deutsch, Schulkooperationen) werden erstmals Learning-Analytics-Verfahren im Bereich der Rechtschreibung angewandt. Dies geschieht mithilfe des eigens entwickelten Informationssystems mit integriertem intelligenten Wörterbuchs, das den Text in Bezug auf allgemeine und kategorisierte Rechtschreibfehler überprüft. Bei den kategorisierten Rechtsschreibfehlern gibt das System dem/der Verfasser/in verbale Rückmeldungen zur Korrektur und stellt dem/der Lehrer/in eine qualitative Fehleranalyse zur Verfügung. Darüber hinaus können die Texte von Lehrpersonen online korrigiert und verwaltet werden. Nachdem die Lehrperson den Text zur Veröffentlichung freigegeben hat, kann der/die Verfasser/in den Text publizieren, so dass ihn andere lesen und ggf. kommentieren können.

Content uploaded by Konstanze Edtstadler

Content may be subject to copyright.

A preview of the PDF is not available

ResearchGate has not been able to resolve any citations for this publication.

ResearchGate has not been able to resolve any references for this publication.

Article

Full-text available

Interactive Learning Environments User behavior pattern detection in unstructured processes -a learn...

May 2019

Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a classic case of unstructured processes since each ... [Show full abstract] learner follows a different learning process. In this paper, we address this limitation by proposing and validating the user behavior pattern detection (UBPD) methodology which is based on detecting very short user activities and clustering them based on shared variance to construct a more meaningful behavior. We develop and validate this methodology by using two datasets of unstructured processes from different implementations of a learning management system. The first dataset uses a gamified course where users have the freedom to choose how to use the system, and the second dataset uses data from a massive online open course, where again, system usage is based on personal learning preferences. The key contribution of the methodology is its ability to discover user-specific usage patterns and cluster users based on them, even in noisy systems with no clear process. It provides great value to course designers and teachers trying to understand how learner interact with their system and sets the foundation for additional research in this class of systems. ARTICLE HISTORY

Conference Paper

DEBE feedback for large lecture classroom analytics

March 2019

Learning Analytics (LA) research has demonstrated the potential of LA in detecting and monitoring cognitive-affective parameters and improving student success. But most of it has been applied to online and computerized learning environments whereas physical classrooms have largely remained outside the scope of such research. This paper attempts to bridge that gap by proposing a student feedback ... [Show full abstract] model in which they report on the difficult/easy and engaging/boring aspects of their lecture. We outline the pedagogical affordances of an aggregated time-series of such data and discuss it within the context of LA research.

Article

Full-text available

Commentary on “Theory-Led Design of Instruments and Representations in Learning Analytics: Developin...

December 2015 · Journal of Learning Analytics

Chris Teplovs

This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on issues of sustainability and scalability of ... [Show full abstract] learning analytics innovations.

Article

Full-text available

Learning Analytics as an Educational Research Approach

July 2018 · International Journal of Multiple Research Approaches

Donggil Song