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
Our scientific publication about Realfeedback titled “Developing a Web-Based Question-Driven Audience Response System Supporting BYOD” is now published as part of the Special J.UCS-Issue “Interaction in Massive Courses“.
Question-driven Audience Response Systems (ARSs) are in the focus of research since the 1960s. Since then, the technology has changed and therefore systems have evolved too. This work is about conception and implementation of the web-based ARS RealFeedback which uses the principle of bring your own device (BYOD). A state-of-the-art analysis compares the features of existing web-based ARSs. The most important findings are used for the conception and the implementation of the system. Thinking-aloud tests, and the first usages during lectures confirm that the chosen requirements are very significant and valuable for lecturers.
[Link Article (Open Access)]
Reference: Haintz, C., Pichler, K., Ebner, M. (2014) Developing a Web-Based Question-Driven Audience Response System Supporting BYOD, Journal of Universal Computer Science (J.UCS). Special Issue on Interaction in Massive Courses. Bry, F., Ebner, M., Pohl, A., Taraghi, B. (Ed.) 20(1), p. 39-56
It’s a great pleasure to announce that our Special Issue of the Journal of Universal Computer Science about “Interaction in Massive Courses” is online published. Due to the fact that the Journal is part of the Open Access Iniative all chapters are free downloadable. Thanks a lot to all who made this issue possible 🙂 .
Table of Content:
- Editorial: Interaction in Massive Courses [.pdf]
- Proposal for a Conceptual Framework for Educators to Describe and Design MOOCs [.pdf]
- Adapting an Awareness Tool for Massive Courses: the Case of ClassON [.pdf]
- Developing a Web-Based Question-Driven Audience Response System Supporting BYOD [.pdf]
- Toward Project-based Learning and Team Formation in Open Learning Environments [.pdf]
Together with my colleagues from the University of Athabasca and the Private University of Teacher Education Graz I like to call for submissions on the topic “Learning Analaytics“. The contributions will appear as Special Issue of the journal J.UCS (Journal of Universal Computer Science) which is an open access journal and holds an Impact Factor. Please consider to send us a scientific contribution on 29th April 2014 at latest.
The detailed call can be found here or at the Journal’s homepage.
Together with my colleagues from the University of Munich I like to call for submissions on the topic “Interaction in Massive Courses“. The contributions will appear as Special Issue of the journal J.UCS (Journal of Universal Computer Science) which is an open access journal and holds an Impact Factor.
Please consider to send us a scientific contribution on 9th June 2013 at latest, if the following sounds interesting and meet you research interests as well:
The Special Issue aims to gather research works in the field of massive courses with a special focus on enhancing interaction between lecturers-students or students-student in face-to-face situations or completely online by using different kind of technologies (MOOC). For example, some few information systems created some years ago, summarized by the term Audience Response Systems (ARS). Here students are able to make votes on lecturers’ questions by using mostly special hardware (Anderson et al, 2003). Other possibilities are the use of Web 2.0 technologies (Purgathofer & Reinhard,
2008) or Social Media (Ebner, 2011) to enhance students’ engagement in live-lecturing-situations. In the last years, the above-mentioned MOOCs attracted the interest of thousands of students. Obviously this leads to new challenges on how to overcome the management of a huge number of occurring interactions and makes new strategies necessary.
Assuming that rich interactions in large groups of learners are even more critical in the development of academia this Special Issue of the Journal of Universal Computer Science is dedicated to research on media fostering interaction in massive courses.
Here you will find the detailed Call for Paper (CfP).