Sökning: "leaderboard"
Visar resultat 1 - 5 av 13 uppsatser innehållade ordet leaderboard.
1. Gamification i Duolingo : Vilka aspekter bidrar mest till motivation?
Kandidat-uppsats, Umeå universitet/Institutionen för informatikSammanfattning : This thesis addresses the research question; ‘Which aspects of gamification contribute the most to motivate people using the application Duolingo?’. This has been done through a quantitative questionnaire study, which we have distributed to people (n=644) that shows familiarity with the application. LÄS MER
2. Gamification Badges vs leaderboards as a motivational tool for university students learning a second language
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : This thesis compares the effects of badges andleaderboards in a gamification game used by students studyingFrench. A game is developed in collaboration with teachers froma German university where it is meant to be a tool for themto use in their education. LÄS MER
3. Jämförelse av renderingstider mellan D3, React-vis och Recharts i React applikationer
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Användare har blivit mer och mer otåligare genom tiden, nu kan en användare tappa fokus efter bara några sekunder. För att möta detta undersöktes olika JavaScript bibliotek över vilken som har kortast renderingstid. LÄS MER
4. Increasing Physical Activity with Gamification : Exploring Competitiveness as a Moderator for Leaderboard Effectiveness
Kandidat-uppsats, Umeå universitet/Institutionen för psykologiSammanfattning : Gamification is a strategy for changing behavior that can be used for increasing physical activity (PA). In Sweden, 34% of the population are not active enough and since sedentary behavior is associated with many health risks, this needs to be improved. LÄS MER
5. Zero-shot, One Kill: BERT for Neural Information Retrieval
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : [Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al. LÄS MER