Students more and more have access to online recordings of the lectures they attend at universities. The volume and length of these recorded lectures however make them difficult to navigate. Research shows that students primarily watch the recorded lectures while preparing for their exams. They do watch the full recorded lectures, but review only the parts that are relevant to them. While doing so, they often lack the required mechanisms to locate efficiently those parts of the recorded lecture that they want to view. In this paper, we describe an experiment where expert tagging is used as a means to facilitate the students' search. In the experiment, 255 students had the option to use tags to navigate 18 recorded lectures. We used the data tracked by the lecture capture system to analyze the use of the tags by the students. We compared these data to studentswho did not use the tagging interface (TI). Results showthat the use of the TI increases in time. Students use the TI more actively over timewhile reducing the amount of video that they view. The experiment also shows that students who use the TI score higher grades when compared with students who use the regular interface.
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The Internet’s dominant role in recent years has caused a change in the relationship between media producers, suppliers and consumers in the traditional media landscape. The cultural sector must therefore decide what to do with today’s digital media in response to the general public’s changing role, and for the purpose of improving accessibility. The use of multiple media resources and particularly resources like the Internet and mobile telephony seems to be inevitable. The only question that remains is: how? This paper addresses this question by focussing on social tagging and storytelling, and reports the results of an empirical study on tagging behaviour using the social tagging platform (see also Van Vliet et al., 2010).
In January 2008 the online photo-hosting site Flickr introduced a new section entitled The Commons. Its two key goals were to show the hidden treasures in the world’s public photography archives to the general public and to give Flickr community members the opportunity to contribute and describe these photos in order to enrich these collections. Surprisingly enough, little empirical research has been done on the actual usage of The Commons by the institutes and Flickr members. In our research we harvested a rich data sample over a 14-week period: 196,822 photos with user-generated content of 1.3 million tags, almost 130,000 comments and more than 22,000 notes. In total, 165,401 members from 188 different countries actively “did something” with the photos. This presentation will analyze this large data sample. In addition to the quantitative findings, we will discuss the qualitative findings regarding the content analysis of tags and comments.
Mediaorganisaties gebruiken veel foto’s uit beeldarchieven, bijvoorbeeld om bij nieuwsberichten te plaatsen. Met een tool die foto’s automatisch van tags voorziet willen we zorgen voor grotere consistentie en nauwkeurigheid in zulke beeldarchieven. Hiermee wordt het vinden van passende foto’s eenvoudiger.Doel We onderzoeken of het haalbaar is een tool voor het automatisch taggen van foto’s te ontwikkelen die goed om kan gaan met steeds nieuwe tags. In de context van nieuws en journalistiek moeten namelijk regelmatig nieuwe tags toe worden gevoegd. Resultaten In het project zoeken we antwoorden op onderstaande onderzoeksvragen: Hoe verhoudt de nauwkeurigheid van de tool zich tot die van een traditionele tool voor het taggen van foto’s? Blijft de tool voor automatisch taggen goed presteren als het aantal tags toeneemt? Hoeveel foto’s zijn minimaal nodig om de tool goed te laten presteren voor een nieuwe tag? Looptijd 01 maart 2023 - 01 juli 2023 Aanpak In the eerste fase van het project ontwikkelen we een tool die voldoet aan de gestelde eisen. Zodra de tool ontwikkeld en geïmplementeerd is, volgt de tweede fase. Hierin evalueren we de prestaties van de tool, ook wanneer nieuwe tags worden geïntroduceerd en worden gekoppeld aan foto’s.
Mediaorganisaties gebruiken veel foto’s uit beeldarchieven, bijvoorbeeld om bij nieuwsberichten te plaatsen. Met een tool die foto’s automatisch van tags voorziet willen we zorgen voor grotere consistentie en nauwkeurigheid in zulke beeldarchieven. Hiermee wordt het vinden van passende foto’s eenvoudiger.
Internet of Things (IoT) is tagging low power devices, miniaturized, with machine-readable identification tags, which are integrated with sensors to collect information and wireless technology to connect them with the Internet. These devices have a very low energy usage. Powering these devices with battery is very labor intensive, costly and tedious especially as number of nodes increases, which is in many applications, is the case. Hence the main objective of this proposal is to introduce new product called RF Colletor, in the market such that IoT devices function independent of battery. Using the suggested approach the wille be energized using Radio Frequency (RF) energy harvesting. RF Collector wirelessly capture the RF energy that is wasted in space, and re-use it again as the power source for IoT devices and hence making them autonomous of battery. The ability to harvest RF energy enables wireless charging of low-power devices in real time. This has resulting benefits to sustainability, cost reduction, product design, usability, and reliability.
