Learning videos are currently more and more in use because of the evolving trend of so-called MOOCs (Massive Open Online Courses) (Khalil & Ebner, 2013). However learning videos have only a consuming character due to the fact that they are of passive nature. According to Carr-Chellman & Duchastel (2000) interaction as well as communication are key features of a successful online course. Because of that a web based information system has been developed to support learning videos with different forms of interac- tion (Ebner et al., 2013). It is obvious that such an information system has to be easily useable and due to that this research study presents the development process of a suitable User Interface (UI). The associated usability study as well as the field study point out that the design approach is generally working and also identified some components to improve.
Due to the fact that students’ attention is the most crucial resource in a high-quality course it is from high importance to control and analyze it. This could be done by using the interaction and the communication because they are known as valuable influencing factors of the attention. In this publication we introduce a web-based information system which implements an attention-profiling algorithm for learning-videos as well as live-broadcastings of lectures. For that different methods of interaction are offered and analyzed. The evaluation points out that the attention profiling algorithm delivers realistic values.
During the last weeks I tested Firefox OS. I did this by developing apps. You can find the code of these very useful apps on github:
In general videos have a more or less consuming character without any interaction possibilities. Due to this fact a web-based application is developed which offers different methods of communication and interaction to a certain learning-video. This should help attendees to avoid that they become tired and annoyed. The lecturer is able to use interactions to omit whether learners are able to understand the content of the video. For instance the developed web-application offers the possibility to add multiple-choice-questions at predefined positions. Furthermore there are many different kind of analysis as for example a detailed attention-profile. In this publication the implementation of a first prototype is described as well as a first field study which points out that learners? interactions and engagements increased arbitrarily.
Videos sind meist reine Konsumationsmedien ohne weitere Interaktion. Aus diesem Grund wird eine Web-Anwendung entwickelt, welche es ermöglicht, verschiedene Formen der Interaktion und Kommunikation während dem Betrachten eines Videos bereitzustellen. Dies soll den Teilnehmerinnen und Teilnehmern helfen, den sogenannten “Berieselungseffekt” zu vermeiden. Die bzw. der Vortragende sollte mit Hilfe der Interaktionen feststellen können, ob die Teilnehmer/innen die Lerninhalte verstehen. Die entwickelte Web-Anwendung bietet unter anderem die Möglichkeit, Multiple-Choice-Fragen zu bestimmten Zeitpunkten in das Video einzubetten. Außerdem stehen viele Analysemöglichkeiten wie zum Beispiel ein genaues Aufmerksamkeitsprofil zur Verfügung. Eine erste Evaluation zeigt eine rege Teilnahme an den Interaktionen.
Stat466 is a little application that provides the possibility to record game results of the famous card game Bauernschnapsen. Its database is compatible with the desktop version. The main reason to develop it was to learn making android apps. You can find the code on githhub:
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.
Stat466 is a little application that provides the possibility to record game results of the famous card game Bauernschnapsen.I developed it using Python 2.7 and PyQT4.