Schlagwort: publication

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[publication] Near Field Communication – Which Potentials Does NFC Bring for Teaching and Learning Materials?

Our publication about “Near Field Communication – Which Potentials Does NFC Bring for Teaching and Learning Materials?” is part of the new issue of the International Journal of Interactive Mobile Technologies (iJIM).
Abstract:

Near Field Communication (NFC) is deemed to be a future technology with a lot of potential in many areas. One of those areas, learning and teaching, will be covered in this article, showing possible usages of NFC with teaching and learning materials. With a lot of new NFC capable devices presented recently, this technology can be utilized in many areas, including the arbitrarily growing field of mobile learning.
Mobile devices, especially smartphones, can help to close the gap between printed media and online media. Several methods, e.g. two-dimensional barcodes, have already been used to connect the digital world with printed media but almost all of them caused inconveniences or difficulties. NFC presents an easy to use way to share and communicate directly between capable devices or tags that can be applied almost anywhere.
In this publication a first insight to the potential of NFC for teaching and learning content is given. A prototype is programmed to allow data transformation between the print media and the smartphone. It can be summarized that NFC will be the logical successor of QR-Codes.

Reference: Maierhuber, M., Ebner, M. (2013) Near Field Communication – Which Potentials Does NFC Bring for Teaching and Learning Materials?. In: International Journal of Interactive Mobile Technologies, Vol. 7, Nr. 4, p. 9-14

[Link to full article]

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[publication] How Useful Is Twitter for Learning in Massive Communities? An Analysis of Two MOOCs

We are feeling very honored that our contribution “How Useful Is Twitter for Learning in Massive Communities? An Analysis of Two MOOCs” is part of the book Twitter & Society.
Abstract:

In this chapter we concentrate on an analysis of Twitter usage surrounding a German-language MOOC that could indicate future trends in technology-enhanced learning. Our research focuses on the Twitter stream accompanying the course and ask how Twitter is used and for what purposes by the heavy twitter users, by the educators / organisers / guestspeakers in the course and if tweets from “outside” get into to the stream.

How Useful Is Twitter for Learning in Massive Communities? An Analysis of Two MOOCs by Martin

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Reference: van Treeck, T., Ebner, M. (2013) How Useful Is Twitter for Learning in Massive Communities? An Analysis of Two MOOCs. In: Twitter & Society, Weller, K., Bruns, A., Burgess, J., Mahrt, M., Puschmann, C. (eds.), Peter Lang, p. 411-424

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[publication] @twitter analysis of #edmediaXX– is the #informationstream usable for the #mass

Our book chapter about “@twitter analysis of #edmediaXX– is the #informationstream usable for the #mass” is now online available. Enjoy the reading.
Abstract:

In this paper we report the use of an application that enables an automatic analyses of social media content. In this early stage of development our work focuses on data from Twitter1 as currently to be the most popular and fastest growing microblogging platform. After an introduction about a general concept the conference tweets of a big e-learning conference are examined twice. It is aimed to show whether there is a possibility to get significant information from a pool of postings or not. The publication concludes that a keyword extraction can be taken as basis for further investigations and treatment of data.

@twitter analysis of #edmediaXX– is the #informationstream usable for the #mass by Martin

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Reference: Ebner, M.; Altmann, T.; Softic. (2013) @twitter analysis of #edmediaXX – is the informationstream usable for the #mass. In: Microbloggin in Educational Settings. Holotescu, C.; Grosseck, G.; Calvani, A. & Bruni, F. (Eds.), AVM – Akademische Verlagsgemeinschaft, Munich 2013, pp. 55-70

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[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

Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Sys… by Martin

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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]

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[publication] Discussing Public Voting in the Web as a Measure to Democratize Award Decisions

Our publication for this year Social Media Conference in HongKong about “Discussing Public Voting in the Web as a Measure to Democratize Award Decisions” is now online available. The slides were already published here.
Abstract:

As active and innovative e-learning researchers, we had been part of the voting crowd but also were applicants to public voting contents on the Web. L3T, a project delivering an open textbook about learning and teaching with technologies, was applicant at three public voting contests on the Web: at the ‘Neue Deutsche Buchpreis” (2011), at the podcast competition of the MMKH (2011) as well as at the MOOC Production Fellowship (2013). According to our experiences made, we got the impression, that there is a need to re-name ‘public voting” to ‘social voting”, as it is not ‘the public” (i.e. the crowd) that decides who wins. In fact, we found out social aspects, i.e. strong and weak ties in so- cial communities to dictate the voting results. Therefore the publication ad- dresses the research question, whether public voting on the Web is a democratic process at all.

Discussing Public Voting in the Web as a Measure to Democratize Award Decisions by Martin

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Reference: Ebner, M., Schön, S., Stocker, A., Rothe, H., Tsang, P. (2013) Discussing Public Voting in the Web as a Measure to Democratize Award Decisions. In: Tsang,P., Eustace K. Tsoi, R, & Tse, S.(eds) Proceedings of Social Media 2013, pp. 51-59, City University press, ISBN 978 988-19712-1-0

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[publication] Teachers Little Helper: Multi-Math-Coach

Our publication at this year IADIS Conference about our Multi-Math-Trainer ist now online available. And we like to invite everyone to use it 🙂 .
Absract:

Individual learning is out of sync with the elements of a curricula and the daily program of a teacher. At a time when multidigit multiplication methods are taught, many children are not perfectly performing the basic multiplication table. Teachers organize settings for learning and they usually have no time to give an individual feedback to every single student. Furthermore they have no physiological capacity to produce statistics and to investigate the probable causes of errors. Our goal is to give teachers a tool to help them to review and train some typical requirements for written multiplying. We use the ubiquity of the Internet and provide on different devices free applications with written multiplication problems. All data are collected centrally and are used to determine typical errors. These data could also be used to answer further new questions and test new hypothesis. This is one aspect of Learning Analytics. The given tasks are automatically adapted to the skill level of a student. Teachers can see every detail of the solution process of every task. But really useful is that teachers can see the typical problems of each student as well as of the whole class every time at a glance. They need just a connection to the database with a web browser – anywhere, anytime.

Teachers Little Helper: Multi-Math- Coach by Martin

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Reference: Ebner, M., Schön, M., Taraghi, B., Steyrer, M. (2013) Teachers Little Helper: Multi-Math- Coach, Proceedings of the IADIS International Conference e-Learning 2013, Nunes, M. B. & McPherson, M. (Ed.), Prague, IADIS Press, p. 183-190

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[publication] Introducing an Information System for successful support of selective attention in online courses

Our publication about “Introducing an Information System for successful support of selective attention in online courses” at this year HCII conference is now available online as a draft.
Abstract:

Human learning processes are strongly depending on attention of each single learner. Due to this fact any measurement helping to increase students’ attention is from high importance. Till now there are some developments called Audience-Response-Systems only available for face-to-face education even for masses. In this publication we introduce a web-based information system which is also usable for online-systems. Students’ attention will be conserved based on different interaction forms during the live stream of a lecture. The evaluation pointed out that the system helps to enlarge the attention of each single participant

Introducing an Information System for successful support of selective attention in online courses by Martin

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Reference: Ebner, M., Wachtler, J. & Holzinger, A. 2013. Introducing an Information System for Successful Support of Selective Attention in Online Courses. In: Stephanidis, C. & Antona, M. (eds.) Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life, Lecture Notes in Computer Science LNCS 8011. Berlin Heidelberg: Springer, pp. 153-162.

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[publication] Monitoring Learning Activities in PLE UsingSemantic Modelling of Learner Behaviour

At this year SouthCHI conference in Maribor we published a contribution titled “Monitoring Learning Activities in PLE Using Semantic Modelling of Learner Behaviour“.
Abstract:

n this paper we report about the reflection of learning activities and revealing hidden information based on tracked user behaviour in our widget based PLE (Personal Learning Environment) at Graz University of Technology. Our reference data set includes information of more then 4000 active learners logs for a period of around two years. For the purpose of trend tracking and analytics collected logs have been used to model activity and usage traces with domain specific ontologies like Activity Ontology and Learning Context Ontology which have been created within the IntelLEO EU project. Generally we distinguish three different metrics: user centric, learning object (widget) centric and activity centric. We used Semantic Web query languages like SPARQL and representation formats like RDF to implement a human and machine readable web service along with a learning analytics dashboard for metrics visualization. The results o↵er a quick overview of learning habits, preferred set-ups of learning objects (widgets) and overall reflection of usages and activity dynamics in the PLE platform over time. The architecture delivers insights for intervening and recommending as closure of a learning analytics cycle with aim to optimize confidence in the PLE.

Monitoring Learning Activities in PLE Using Semantic Modelling of Learner Behaviour by Martin

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Reference: Selver, S.; Tarahi, B.; Ebner, M.; De Vocht, L.;Mannens, E. & Van De Walle, R. (2013) Monitoring Learning Activities in PLE Using SemanticModelling of Learner Behaviour. In: Human Factors in Computing and Informatis. Holzinger, A.;Ziefle, M.; Hitz, M & Debevc, M. (Ed.). Springer. Berlin, Heidelberg. p. 74-90

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[publication] Predicting Developments in Technology-enhanced Learning through Betting – The Concept for a Facebook App

Our publication about “Predicting Developments in Technology-enhanced Learning through Betting – The Concept for a Facebook App” is now published in the book E-Learning: New Technology, Applications and Future Trends [Link].
Abstract:

Our research article deals with a new form of future study methodology in the field of technology-enhanced learning (TEL): the approach of prediction markets, especially pari-mutuel betting. Therefore we start with a short introduction in future research and go on with a description on the process of prediction markets. Our focus is on a concept for a Facebook app supporting the idea of bets on future developments. The application itself is a betting application wherein a user is able to bet on a certain question, related to TEL problems and trends, with a variable amount of virtual money. The goal of the tool is to use the outcome of the bets for evaluating future trends

PREDICTING DEVELOPMENTS IN TECHNOLOGY-ENHANCED LEARNING THROUGH BETTING – THE CONCEPT FOR A FACEBOOK APP by Martin

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Reference: Albustin, A., Ebner, M., Schön, S. (2013) Predicting Developments in Technology-enhanced Learning through Betting – The Concept for a Facebook App, In: E-Learning: New Technology, Applications and Future Trends. Hamada, M. (Ed.), Nova Science Publishers. NY. P. 207 – 220, ISBN: 978-1-62618-961-4

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[publication] Die Rolle der Erwähnungen auf Twitter bei #OPCO12

Zusammen mit Sandra habe ich das Kapitel “Die Rolle der Erwähnungen auf Twitter bei #OPC12” geschrieben um zu beleuchten ob es erkennbare Anreize gibt auf Twitter zu posten. Das Kapitel ist dann im gesamten Werk “Macht mit im Web! Anreizsysteme zur Unterstützung von Aktivitäten bei Community- und Content-Plattformen” erschienen, welches zur Gänze auch online zugänglich ist:
Klappentext:

Bei vielen Web-Unternehmungen sind Beiträge von Nutzer/innen gefragt, beispielsweise Klicks, Bewertungen, Texte, Fotos, Videos oder Metadaten. Der vorliegende sechste Band der Buchreihe „Social Media“ beschreibt und untersucht Anreize und Anreizsysteme im Web, die Nutzer/innen zu Beiträgen motivieren und aktivieren versuchen: Geldpreise, Freundschaft, Reputation, positive Rückmeldungen, die Schaffung freien Wissens oder auch unterhaltsame Spiele sind Hilfsmittel, Aktivitäten bzw. Beiträge zu unterstützen. Anreizsysteme im Web werden dazu identifiziert und beschrieben und auch theoretische Erklärungen für ihre Funktionsweise vorgestellt. Wie wirkt sich beispielsweise das Feedback von anderen Nutzer/innen aus? Mit welchen Zielsetzungen beteiligen sich viele an Projekten, bei denen ein Jahr lang jeden Tag ein Foto online gestellt wird? – Dies sind zwei der Fragen, die dabei genauer mit Hilfe der Daten aus erfolgreichen Systemen betrachtet werden. Weil es rund um die Entwicklung und den Einsatz von Anreizsystemen im Web Herausforderungen und Stolperstellen gibt, beschäftigt sich der letzte Teil der Studie mit der Entwicklung von passenden und erfolgreichen Anreizsystemen.
Die Studie entstand im Rahmen des Kompetenzzentrum für Neue Medien, Salzburg NewMediaLab – The Next Generation (SNML-TNG), das unter der Koordination der Salzburg Research Forschungsges.m.b.H. daran arbeitet, digitale Inhalte zu personalisieren, für alle auffindbar zu machen und nachhaltig zu nutzen.

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Zitierung: Schön, S. & Ebner, M (2013) Die Rolle der Erwähnungen auf Twitter bei #OPC12. In: Macht mit im Web! Anreizsysteme zur Unterstützung von Aktivitäten bei Community- und Content-Plattformen. Band 6 der Reihe „Social Media“, herausgegeben von Georg Güntner und Sebastian Schaffert, Salzburg: Salzburg Research. S.49-54 (ISBN 978-3-902448-38-5