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recommandation

[publication] Recommendations for OER Integration in Austrian Higher Education #fnma #OER #tugraz

Together with my colleagues of the austrian wide OER-working group we published our findings about „Recommendations for OER Integration in Austrian Higher Education“ at this year EADTU 2016 conference.
Abstract:

Open Educational Resources (OER) are considered an important instrument to increase access and to facilitate the reuse of learning content. Educational institutions, especially those in Higher Education, play a crucial role in the production of OER, since they are the main producers of learning materials. To foster this production, a national strategy or at a least a national commitment to OER is necessary. Moreover, due to the very strict copyright law in Austria, this achievement is of high importance and necessity. In this publication, we will introduce recommendations for the integration of OER in all Higher Education institutions in Austria; these were developed by a national workgroup consisting of different stakeholders (government, library, funder, Higher Education and special interest groups). The overall aim is to achieve sustainability for the educational sector, especially with regard to the usage of learning materials by different lecturers as well as institutions. The cooperation among various stakeholders on different levels needs to be in the centre of all further efforts, which should be based upon six explicit requirements:

  1. Mandatory commitment to OER
  2. Establishment of a nationwide information platform for exchange and cooperation
  3. Establishment of nationwide educational programmes for different stakeholders
  4. Establishment of national OER badges
  5. Targeted financial and structural promotion of OER
  6. Establishment of OER strategies within each institution and as a comprehensive approach

Each requirement will be described in more detail and a roadmap will illustrate how OER can be successfully integrated at Higher Education institutions in the next ten years.

[Full paper @ ResearchGate]

Reference: Ebner, M., Kopp, M., Freisleben-Deutscher, C., Gröblinger, O., Rieck, K., Schön, S., Seitz, P, Seissl, M., Ofner, S., Zimmermann, C., Zwiauer, C. (2016) Recommendations for OER Integration in Austrian Higher Education. In: Conference Proceedings: The Online, Open and Flexible Higher Education Conference, EADTU 2016, pp. 34-44

[publication] Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems

Our publication on „Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems“ in the International Journal on Open Information Review got published.
Abstract:

Purpose: The use of articles from scientific journals is an important part of research-based teaching at universities. The selection of relevant work from among the increasing amount of scientific literature can be problematic; the challenge is to find relevant recommendations, especially when the related articles are not obviously linked together. Design/methodology/approach – This paper focuses on the analysis of user activity traces in journals using the open source software “Open Journal Systems” (OJS). The research question is to what extent end users follow a certain link structure given within OJS or immediately select the articles according to their interests. In the latter case, the recorded data sets are used for creating further recommendations. The analysis is based on an article matrix, displaying the usage frequency of articles and their user selected successive articles within the OJS. Furthermore, the navigation paths are analyzed.
Findings: According to the analysis results, it was found that the users tend to follow a set navigation structure. Moreover, a hybrid recommendation system for OJS is described, which uses content based filtering as the basic system extended by the results of a collaborative filtering approach.
Originality/value: We present two original contributions: The analysis of userpath tracing and a novel algorithm that allows a smooth integration of new articles into the existing recommendations, due to the fact that scientific journals are published in a frequent and regular time sequence.
Keywords: Web Analytics, Scientific literature, Open Journal System, Recommender System, Path analysis, Research-Based Teaching, recommendation algorithm

Reference: Behnam Taraghi, Martin Grossegger, Martin Ebner, Andreas Holzinger, (2013) „Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems“, Online Information Review, Vol. 37 Iss: 5, pp.672 – 691 [Link]

[iPhone] Pic of the Day

iPhone App Pic of the Day

iPhone App Pic of the Day

Im Rahmen unserer Vorlesung „Mobile Applications 2013“ ist die App Pic of the Day entstanden. Diese App soll einfach dazu dienen ein tägliches Lächeln auf die Gesichter zu zaubern, indem sie schöne Bilder zeigt. Hintergrund dabei ist, dass wir aufgrund der Beurteilung von BenutzerInnen versuchen, die Präsentation der Bilder weiter zu optimieren indem die Empfehlungen immer besser werden.

User-friendly app focused on delivering daily thoughts and inspirations in a form of pictures.
Simple, fun and easy to use image browsing with image and thumbnail mode.
Thumbnail mode used as a browsing history, where all the previously seen pictures are saved.
Image mode used for browsing images in full screen mode. Furthermore, loading of a new image in image mode is done after liking/disliking the currently displayed picture, in order for the system to learn what the user wants and to display similar images later on. The image can be liked or disliked only once.

Features:

  • hundreds of high resolution images for you to browse through
  • system that gives you more similar images based on what you like and less of what you dislike
  • low/limited image loading time
  • view images in landscape or portrait orientation
  • easy navigation between thumbnail and detail mode
  • well organized browsing history in thumbnail mode
  • absolutely free, just for your enjoyment!

[Link zur App]

[presentation] Semantic Recommandation Sytems for Research 2.0

Patrick Thonhause hat im Rahmen seiner Masterarbeit das Thema „Semantic Recommandation Sytems for Research 2.0“ behandelt – hier gibt es die Folien seiner Masterverteidigung.