Quotation Hoisl, Bernhard. 2012. Inter-Widget Communication for Personal Learning Environments. Masterarbeit, Vienna University of Technology.




In recent time a new trend can be recognised on the Internet in general and especially in learning environments by moving away from monolithic one-provider-fits-all to a combinatorial mixing pieces-together approach. Mashing-up stands for the re-use, re-combination, and re-organisation of small software artifacts of clearly defined functionality (so-called widgets). Subsequently, mashed-up learning systems describe the idea of highly customizable environments shifting substantial personalization possibilities from administrators to the end-users (learners). This shift has significant impacts on software design decisions, especially on efficient data communication strategies of learning management systems. This thesis presents a technical solution for an inter-widget communication in mash-up personal learning environments, enabling the possibility of different data send and receive strategies, such as, cross-domain push/pull mechanisms, topic-oriented broadcast messaging, or user-centered notification settings and, thus, enabling to model learner workflows in distributed environments. It explains the technical background of the widget concept and why inter-widget communication is beneficial, especially in the area of e-learning. The outcome of this thesis are new methods and corresponding open-source prototype software artifacts. A proof-of-concept pedagogical use-case of a lifelong learner successfully applying the inter-widget communication facilities in a widget-based learning environment validates the approach.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Master thesis
Language English
Title Inter-Widget Communication for Personal Learning Environments
Academic institution Vienna University of Technology
Year 2012
URL http://www.ub.tuwien.ac.at/dipl/2012/AC07813579.pdf


Hoisl, Bernhard (Former researcher)
Institute for Information Systems and New Media IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1108 Informatics (Details)
1127 Information science (Details)
5838 E-learning, telelearning (Details)
6633 Computational linguistics (Details)
Google Scholar: Search