My contribution about “Mobile Applications for Math Education – How Should They Be Done?” as part of the book Mobile Learning and Mathematics. Foundations, Design, and Case Studies got published.
Math education in elementary schools is a necessity. In this publication we introduce different math applications for iPhone and iPad developed by students at Graz University of Technology. Both, the technical as well as the pedagogical strategy of these apps are described. Furthermore, a close look at the HCI guidelines are taken and finally enhanced with some crucial facts that in principle an app is able to serve as a learning app for elementary school children. It can be summarized that the successful use of math apps in classroom is more than just a playing with the first app that comes along; it is about a careful design of a didactical approach based on an appropriate learning strategy.
Reference: Ebner, M. (2015) Mobile Learning and Mathematics. Foundations, Design, and Case Studies. Crompton, H., Traxler, J. (ed.). Routledge. New York and London. pp. 20-32
btw, Happy Easter to all
My today’s presentation about “First experiences with iMooX – an austrian wide
” at the 3rd SIG meeting of Eduhub is also online available:
Our contribution to this year LAK conference is about the “De-Identification”. Mohammad gave a presentation within the Workshop “Ethics and Privacy in Learning Analytics”. Here can your find his slides:
Alljährlich lese ich die Einheit “Human Interface Guidlines for iOS” im Rahmen der Vorlesung “Mobile Applications“. Anbei der Foliensatz:
Our publication about “Towards a Learning-Aware Application Guided by Hierarchical Classification of Learner Profiles” is published as part of the Special Issue on Learning Analytics.
Learner profiling is a methodology that draws a parallel from user profiling. Implicit feedback is often used in recommender systems to create and adapt user profiles. In this work the implicit feedback is based on the learner’s answering behaviour in the Android application UnlockYourBrain, which poses different basic mathematical questions to the learners. We introduce an analytical approach to model the learners’ profile according to the learner’s answering behaviour. Furthermore, similar learner’s profiles are grouped together to construct a learning behaviour cluster. The choice of hierarchical clustering as a means of classification of learners’ profiles derives from the observations of learners behaviour. This in turn reflects the similarities and subtle differences of learner behaviour, which are further analysed in more detail. Building awareness about the learner’s behaviour is the first and necessary step for future learning-aware applications.
[Link to full article]
Reference: Taraghi, B., Saranti, A., Ebner, M., Müller, V., Großmann, A. (2015) Towards a Learning-Aware Application Guided by Hierarchical Classification of Learner Profiles, Journal of Universal Computer Science, vol. 21, no. 1 (2015), 93-109
Our Special Issue about Learning Analytics is published within the Journal of Universal Computer Science. We like to thank all authors and reviewers for their valuable work. All readers we wish an enjoyable reading experience.
Already back in 2006 Retalis et al. proposed their first thoughts on Learning Analytics (LA) and considered interaction analysis as a promising way to better understand the learner’s behavior. A couple of years later, further activities were organized; especially Siemens and Long predicted that the most important factor shaping the future of higher education would be big data and analytics. Just few months later, the Horizon Report also described Learning Analytics as a big trend for the forthcoming years. Since then a number of conferences (for example LAK 11, LAK 12, …) have been organized and different projects have been started as well as the topic has been rising on Google trends. The number of research publications has also increased arbitrarily in different directions; for instance to define the upcoming research field, to gather practical experiences or simply to confine LA from other topics (especially from Educational Data Mining (EDM)) …
Table of Content:
Reference: Ebner, M., Kinshuk, Wohlhart, D., Taraghi, B., Kumar, V. (2015) Editorial: Learning Analytics J.UCS Special Issue, Journal of Universal Computer Science, vol. 21, no. 1 (2015), 1-6
Im Rahmen der Fachdidaktik Informatik Tagung an der Pädagogischen Hochschule Steiermark veranstaltet vom regionalen Fachdidaktikzentrum Informatik (RFDZI) habe ich heute den derzeitigen Stand zur PädagogInnen Ausbildung im Entwicklungsverbund aus dem Fachbereich Informatik präsentiert. Hier die wenigen Folien:
Schon wieder ein Jahr vorbei und ich darf wieder mein Seminar “Technology Enhanced Learning” starten. Vorgesehen ist das Seminar vor allem für Lehramtsstudierende Informatik, aber natürlich sind alle anderen Studierenden herzlich willkommen. In der ersten Einheiten versuche ich einen Schnelleinstieg ins Thema kombiniert mit einer Zukunftssicht, wohin sich der Medieneinsatz entwickeln könnte.
Hier sind die Folien:
Our publication “Using Cloud Services in a Modern Learning Management System” as part of a Special Issue of the Journal of Computing and Information Technology (CIT) has been published online.
LMS (Learning Management Systems) today are being widely used in almost every educational facility. In the last years all conceivable use cases that need to be carried out by such LMS have been defined and the features a modern LMS needs to offer are very clear. Rarely do we find something a teacher or student needs that an LMS cannot offer. So the task for LMS developers shifted from offering all tools a teacher or student needs to make these tools as convenient to use as possible. Our goal in this research work is to describe the web services we use in TeachCenter, an LMS that has been widely used for the past years at Graz University of Technology to simplify the use of certain components. It can be pointed out that cloud services have to be an integral part of a modern LMS.
[Link to full article]
Reference: Scerbakov, A., Ebner, M., Scerbakov, N. (2015) Using Cloud Services in a Modern Learning Management System, Journal for Computing and Information Technology (CIT), 23/1, pp. 75-86 [.pdf]