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
Toegehter with Hanan Khalil we did a first research work about Massive Open Online Courses (shortly MOOCs). The publication titled “Interaction Possibilities in MOOCs – How Do They Actually Happen?” and was accepted for presentation at the 3rd International Conference on Higher Education Development “Future Visions for Higher Education Development” in Mansoura, Egypt. The slides of Hanan’s talk are already here online.
Massive Open Online Courses (MOOCs) are booming. They possibility to study whatever, wherever, and whenever for free is convincing to millions of online learners. A main criterion for the success of learning is interaction and communication as for MOOCs too. But there is little research work to be found according to the ways of MOOC interaction, its usage, and importance so far. This study deals exactly with these topics. The results of this study show that there is a lot of distinct “student to student” interaction using social networks and other Web 2.0 possibilities but very little “student to instructor” interaction. It is a task of the future to strengthen such interaction in order to optimize the learning outcome and community.
Reference: Khalil, H., Ebner, M. (2013) Interaction Possibilities in MOOCs – How Do They Actually Happen?, International Conference on Higher Education Development, p. 1-24, Mansoura University, Egypt
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).