Megan Torrance uses survey data to assess the current state of xAPI adoption and the differing perspectives among non-adopters, adopters, and providers.
AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
Trusted Learning Analytics beruhen auf vertrauensvollen Beziehungen zwischen Anwendern und Nutzern
FRAGEN AN (II/II) Hendrik Drachsler, Professor an der Goethe-Universität Frankfurt und Leiter des Arbeitsbereichs „Educational Technologies“ am DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, der sich nicht nur mit Bildungstechnologien auseinandersetzt, sondern auch daran arbeitet Learning Analytics an deutsche Hochschulen zu bringen.
Im Interview legt Informatik-Professor Hendrik Drachsler vom DIPF dar, was es braucht, um die neuen Techniken sinnvoll und vertrauenswürdig für das Lehren und Lernen nutzen zu können. Der Experte für Educational Technologies und Learning Analytics beleuchtet die Entwicklung in Deutschland und erläutert, welchen Beitrag die Wissenschaft leisten kann.
S. Cielo, V. Antonuccio-Delogu, A. Macciò, A. Romeo, и J. Silk. (2013)cite arxiv:1311.5562Comment: Submitted to MNRAS - 15 pages, 12 figures - Multimedia available on the author's webpage: http://www.mpia.de/~cielo.