Digital learning technologies are becoming increasingly important for our modern educational system. In addition to teaching methods that incorporate interactivity, these approaches benefit students’ overall learning experience and success by enhancing their attention and fostering a positive attitude towards the learning content being presented. Interactivity comes in various forms, and while a combination of distinct activities is beneficial, some are more effective at engaging students. Using digital technologies in an educational environment opens up new possibilities for students, teachers, and researchers. It provides new insights into learning behavior and enables the collection of interaction information. This data could, for example, show how often a video was paused or at what point students lost interest and left, but gaining such knowledge requires further processing. The use of visualizations that depict behavior, such as the change of attention over time, can be an effective way to present extracted information. Therefore, our research focuses on developing an application that enables us to generate various visualizations from the collected data. A single command-line input will be sufficient to create them. Furthermore, a video course was created from which we collected behavioral data. Our results aim to showcase the benefits of interactivity, and that the created figures can be used for data evaluation verifies the versatility of the generated visualizations.
It is widely known that interaction, as well as communication, are very important parts of successful online courses. These features are considered crucial because they help to improve students’ attention in a very significant way. In this publication, the authors present an innovative application, which adds different forms of interactivity to learning videos within MOOCs such as multiple-choice questions or the possibility to communicate with the teacher. Furthermore, Learning Analytics using exploratory examination and visualizations have been applied to unveil learners’ patterns and behaviors as well as investigate the effectiveness of the application. Based upon the quantitative and qualitative observations, our study determined common practices behind dropping out using videos indicator and suggested enhancements to increase the performance of the application as well as learners’ attention.
It is clear that a system known as selective attention is the most crucial resource for human learning (Heinze et al. 1994). Due to this fact a web based information system is developed to support the attention of the watchers of a learning video. This is done by enriching the video with different forms of interactions. Among others there are interactions presenting multiple-choice questions at predefined positions in the video as well as randomly occurring interactions displaying general questions, which are not content related. To gain a basic plan which points out how to distribute the interactions over the video the usage of the information system at a lecture is analyzed. For that on the one hand some feedback of the users is provided and on the other hand an objective analysis of the results of the multiple-choice questions is done by evaluating their time of occurrence in the video.
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:
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.