Sökning: "Interactive Design"
Visar resultat 6 - 10 av 864 uppsatser innehållade orden Interactive Design.
6. POTENTIALS FOR LEARNING IN THE DESIGN OF DIGITAL TEXTBOOKS
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeSammanfattning : Purpose: The aim of this study was to enhance the knowledge of the learning potentials associated with the different designs of digital textbooks and their implications for the representation of historical content. More specifically, the analysis focused on four Finnish digital history textbooks, with the Winter War being selected as the specific learning unit due to its significant role in the history of Finland. LÄS MER
7. The Missing Student: Construction of an Alternate Reality Game – A pitch to attract applicants to the Game Design & Technology Master’s programme
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The master’s program Game Design & Technology at the University of Gothenburg wants to try new ways of marketing the program to potential students and has created this Bachelor’s for that purpose. By advertising using a game, one reaches people that are already interested in the area and by having an interactive advertisement such as an Alternate Reality Game (ARG) one can have the target group interact with each other further solidifying their interest. LÄS MER
8. LEARNING FOR ALL IN THE DIGITAL MUSEUM
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeSammanfattning : Purpose: Due to the COVID-19 pandemic, museum have increased their exploration of digital means to reach their audience. Museums are obliged to ensure that digital initiatives are in alignment with legal standards and guidelines for accessibility. LÄS MER
9. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER
10. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. LÄS MER