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[publication] On Using Interactivity to Monitor the Attendance of Students at Learning-Videos #tugraz #research

Another publication at this year ED-Media conference is about „On Using Interactivity to Monitor the Attendance of Students at Learning-Videos„. The presentation has been recorded and can be find here.
Abstract:

Many studies are claiming that compulsory attendance has its benefits for students because it is positively influencing their performance in consequence. This means that fully attending students are receiving a better grade than those who skip parts of the course. Whereas there are existing technologies to monitor the attendance of students in standard classroom situations the possibilities to provide such functionalities at online videos are limited. Because of that this work introduces an approach to assess the performance of students at videos. For that a web-platform which offers a detailed recording of the watched parts of videos is presented. The evaluation shows the performance of the students at a course consisting of videos with compulsory attendance and furthermore it points out that the approach for monitoring the attendance at online videos is basically working.

[Draft version @ ResearchGate]

Reference: Wachtler, J. & Ebner, M. (2017). On Using Interactivity to Monitor the Attendance of Students at Learning-Videos. In Proceedings of EdMedia: World Conference on Educational Media and Technology 2017 (pp. 278-288). Association for the Advancement of Computing in Education (AACE).

[vocast] On Using Interactivity to Monitor the Attendance of Students at Learning-Videos #tugraz #research #edmedia

Because we are not able to attend the ED-Media conference 2017 in Washington this year, we are doing our presentations virtually. The last of four talks is about „On Using Interactivity to Monitor the Attendance of Students at Learning-Videos„:

[publication] Attention Profiling Algorithm for Video-based Lectures

Our first publication at this year HCII conference in Crete, Greece about „Attention Profiling Algorithm for Video-based Lectures“ is now online available as prelimiary version. The slides are already published here.
Abstract:

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 learningvideos
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.

Reference: Wachtler, J., Ebner, M., Taraghi, B. (2014). Attention Profiling Algorithm for Video-based Lectures. Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences. Panayiotis, Z., Ioannou, A. (Ed.), Springer Lecture Notes, pp. 358-367

[presentation] Attention Profiling Algorithm for Video-based Lectures

Our first presentation at this year HCII 2014 conferece in Creta Maris, Heraklion, Crete, Greece was about „Attention Profiling Algorithm for Video-based Lectures„. First of all find here the slides:

[publication] Introducing an Information System for successful support of selective attention in online courses

Our publication about „Introducing an Information System for successful support of selective attention in online courses“ at this year HCII conference is now available online as a draft.
Abstract:

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

Reference: Ebner, M., Wachtler, J. & Holzinger, A. 2013. Introducing an Information System for Successful Support of Selective Attention in Online Courses. In: Stephanidis, C. & Antona, M. (eds.) Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life, Lecture Notes in Computer Science LNCS 8011. Berlin Heidelberg: Springer, pp. 153-162.