Three training conditions were compared in a task of learning locations of cities on a map: one in which participants could avoid errors by searching for the name of the correct city, and two others in which either immediate feedback after each response or delayed feedback after all responses had been made was given. Learners who received feedback only after placing all the cities on the map performed more poorly overall during training but outperformed the other two groups in both immediate and delayed tests. This advantage is interpreted as evidence of differential development of relational knowledge and application of cognitive effort across training conditions.
Abstract In this paper several meaningful audio icons of classic arcade games such as Pong, Donkey Kong, Mario World and Pac-Man are analyzed, using the PRAAT software for speech analysis and musical theory. The analysis results are used to describe how these examples of best practice sound design obtain their meaning in the player's perception. Some aspects can be related to the use of tonal hierarchy (e.g. Donkey Kong and Mario World) which is a western culture related aspect of musical meaning. Other aspects are related to universal expressions of meaning such as the theory of misattribution, prosody, vocalization and cross-modal perceptions such as brightness and the uncanny valley hypothesis. Recent studies in the field of cognitive neuroscience support the universal and meaningful potential of all these aspects. The relationship between language related prosody, vocalization and phonology, and music seems to be an especially successful design principle for universally meaningful music icons in game sound design.
We conducted a descriptive study among first-year engineering students at the Anton de Kom University of Suriname. We analyzed students’ errors regarding necessary prior knowledge in a calculus A exam. We found that the stage of the solution in which prior knowledge is required impacts the importance of prior knowledge. We also found that many errors concerned basic algebra and trigonometry concepts and skills. We concluded that even though the required prior knowledge concerns basic algebra and trigonometry, the stage of the solution in which prior knowledge is needed is of great importance.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
Het lopende Bird’s Eye Perspective onderzoek ontwikkelen we door naar een leeromgeving 3.0 waarin wij de mogelijkheden van conversatie analyse en algoritmes toepassen op sociale media berichten. De leeromgeving tracht communicatieprofessionals te trainen in het opmerken van opkomende issues in het online gesprek.
Een bottom-up-initiatief is een project dat niet vanuit de overheid of instellingen (top) wordt gestart maar vanuit burgers of eindgebruikers (bottom). We kijken in dit onderzoek naar theorieën die de bottom-up-aanpak ondersteunen. Ook doen we aanbevelingen om bottom-up initiatieven beter en sneller te laten verlopen.Doel Het doel van dit onderzoek is om nieuwe theoretische inzichten en strategieën te ontwikkelen voor stedelijke gebiedsontwikkeling. Hierbij is een sterke focus op de bottom-up aanpak. Dit houdt in dat er gekeken wordt naar initiatieven en ideeën van gebruikers of burgers (bottom) in plaats van de plannen van de overheid of instellingen (top). De bottom-up aanpak heeft veel toegevoegde waarde, maar initiatiefnemers ervaren nog veel belemmeringen. Dit onderzoek wil bijdragen aan het verminderen van die belemmeringen. Resultaten Dit onderzoek loopt. Na afloop vind je hier een samenvatting van de resultaten. Looptijd 01 september 2017 - 01 september 2021 Aanpak Achter bottom-up processen in gebiedsontwikkeling zit nu vaak weinig theorie. Het zijn intuïtieve, trial-and-error processen. Eindgebruikers en burgers werken samen met professionele partijen maar dit is nu nog niet echt gestroomlijnd. Daarom kijken we hoe partijen samenwerken en waar verbeteringen mogelijk zijn. Deze kennis gebruiken we om een theoretische en wetenschappelijke basis voor bottom-up gebiedsontwikkeling te leggen. Hierin komt naar voren welke factoren gaan bepalen of een project succesvol zal zijn. Met deze inzichten kunnen bijvoorbeeld nieuwe strategieën ontwikkeld worden, die een combinatie kunnen zijn tussen een bottom-up en een top-down aanpak.
