2,086 zoekresultaten voor “better learning” in de Publieke website
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Seeing voices: the role of multimodal cues in vocal learning
Humans and songbirds learn their vocalizations early in life by exposure to the vocalizations of adult conspecifics. Often, better learning outcomes are achieved with live, social, tutors than with audio-only exposure to vocalizations.
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Docenten
De docenten aangesloten bij Inclusief Leiderschap voor Depolarisatie zijn onder andere:
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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Over het Centre for Professional Learning
Het Centre for Professional Learning (CPL) is sinds 1999 hét expertisecentrum van de Universiteit Leiden in Den Haag voor leren en ontwikkelen in het publieke domein.
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Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
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XR (Extended Reality) to learn global challenges
Ontwikkeling van effectieve VR-training voor internationaal recht van gewapende conflicten (ILAC)
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Nonverbal Learning Disorder (NLD)
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Centre for Professional Learning – Universiteit Leiden
Verbinden van wetenschap en praktijk: opleidingen die jouw leiderschap en impact versterken.
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Towards better L1-oral language education: perspectives on good quality oral language teaching and the role of feedback
Hoewel spreekvaardigheidonderwijs internationaal wordt beschouwd als essentieel voor het bevorderen van communicatieve vaardigheden en kritisch denken, is dit domein aanzienlijk minder onderzocht dan lees- en schrijfvaardigheid. Dit onderzoeksproject had als overkoepelend doel zicht te krijgen op werkende…
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Open-world Continual Learning via Knowledge Transfer
This thesis investigates Open-world Continual Learning (OWCL), a learning paradigm designed for intelligent systems operating in non-stationary environments with persistent exposure to unknown data.
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the Gap Between Design and Implementation for Technology-Enhanced Learning Systems
Technologies that help to enhance our educational environments can be found everywhere.
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about bilingual education? A window on Content and Language Integrated Learning pedagogies
In Nederland bieden ongeveer 130 van de 700 middelbare scholen een tweetalige stroom aan. Toch is er nog maar weinig wetenschappelijk onderzoek naar CLIL (content and language integrated learning). Met haar proefschrift wil Evelyn van Kampen (promovendus bij het ICLON) bijdragen aan een beter begrip…
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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.
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The impact of non-genetic factors on drug metabolism: towards better phenotype predictions
This thesis investigates how non-genetic factors, such as inflammation and concomitant medication, impact hepatic drug metabolism and subsequent drug metabolizing phenotype predictions.
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Sleep and learning in children
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Grip on software: understanding development progress of SCRUM sprints and backlogs
Software development is a complex process. It is important that software products become stable and maintainable assets.
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
Samenwerkend leren in het hoger onderwijs: ontwerp, implementatie en evaluatie van groepsleeropdrachten
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of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…
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Learning class-imbalanced problems from the perspective of data intrinsic characteristics
The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.
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Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
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Learning from texts: Extending and revising knowledge
Wat doe je als je iets te weten wilt komen? Tegenwoordig gebruikt men voornamelijk het internet om informatie te verkrijgen. Een lezer moet deze informatie vaak uit meerdere bronnen halen en die bronnen met elkaar in verband brengen, om zo een compleet plaatje te vormen van het onderwerp. Soms is de…
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Formative Assessments and Teacher Professional Learning
Hoe kan formatieve assessment worden ingezet om het leren van docenten te bevorderen? Dit boek bevat diverse onderzoeken naar professionaliseringsaanpakken en cursussen waarin formatieve assessment wordt aangewend met het oog op het leren van docenten.
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Teachers' teaching and learning motivation in China
In de context van het Chinese onderwijs onderzocht Zhang welke invloed de leermotivatie van docenten heeft op de kwaliteit van hun onderwijs.
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The Many Faces Of Online Learning
In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.
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Increased striatal activity in adolescence benefits learning
De verhoogde activatie van het striatum, die adolescenten laten zien bij beloning, wordt meestal in verband gebracht met risicogedrag en negatieve gezondheidseffecten. In dit artikel in Nature Communications wordt een mogelijke positieve kant van die verhoogde activatie onderzocht. De activatiepiek…
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Development of a academic monitoring system for students with learning problems in secondary school
Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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Learning from nature: using plant-soil feedback principles to improve growth and health of a horticultural crop
Plants and soils from natural ecosystems harbor great diversity of soil microorganisms, which could potentially contribute to the sustainability of horticulture. The knowledge about using wild plant species and soil from natural ecosystem to improve the crop health will advance the application of ecological…
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higher education collaboration in enhancing engineers’ soft skills for better employability
De discussie over inzetbaarheid van afgestudeerden in het hoger onderwijs bestaat al een aantal jaren. Toch staan universiteiten nog steeds voor de uitdaging om afgestudeerden te leveren die aan de verwachtingen van het bedrijfsleven kunnen voldoen.
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Blended learning wordt niet effectief ingezet
Forse ICT-investeringen om het onderwijs te vernieuwen, leveren bijzonder weinig op voor het studiesucces van studenten. Dit blijkt uit het proefschrift van Nynke Bos, onderwijskundig onderzoeker bij het ICLON.
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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Blended learning en de betrokkenheid van studenten
Hoe kunnen universiteiten studenten beter betrekken bij blended learning-omgevingen? Het proefschrift van Linyuan Wang (promovendus bij het ICLON) biedt essentiële inzichten. Blended learning is een combinatie van traditionele klassikale instructie met digitale hulpmiddelen en online activiteiten.
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Collaborative learning in conservatoire education: catalyst for innovation
Het doel van dit proefschrift is om eerst te onderzoeken welke vormen van samenwerkend leren bij de verschillende conservatoria in de praktijk worden gebracht, om vervolgens te kijken naar hoe samenwerkend leren kan worden geïmplementeerd.
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Teacher professional learning and collaboration in secondary schools
De focus van dit proefschrift is het leren en de samenwerking van docenten in het voortgezet onderwijs.
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Individual teacher learning in a context of collaboration in teams
In dit proefschrift staat het leren van ervaren docenten in een context van samenwerking in interdisciplinaire teams centraal.
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Libraries as Links in Learning: Making the Meaning of Manuscripts
Dit project onderzoekt de professionalisering van universiteitsbibliotheken in de negentiende en vroege twintigste eeuw, door de lens van het middeleeuwse handschriftenbezit. Met de Leidse Universiteitsbibliotheek als uitgangspunt werpt het licht op de veranderende praktijken rond het conserveren, behandelen…
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Sander Hölsgens - Skate/worlds: Learning and making sense through skateboarding
Explore how skateboarding functions as a prefigurative learning tool in 'Skate/worlds.' This volume examines skateboarding's therapeutic potential, its role in queering and decolonizing education, and its impact on parenting and care work through perspectives from writers, educators, and activists.
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PNAS Paperprijs voor quantum machine learning
‘We hopen dat ons artikel de mogelijkheden en voordelen laat zien van het gebruik van kunstmatige intelligentie in de quantumfysica om nieuwe ontdekkingen te doen.’ Vedran Dunjko van het Leiden Institute of Advanced Computer Science droeg bij aan een artikel dat vorig jaar verscheen in PNAS. Het artikel…
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Marijn Prins|
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Luc Sträterl.p.j.strater@liacs.leidenuniv.nl | 071 5272727
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Is asylum bad for men (and better for women)? Changing perspectives on female and male refugees and asylum seekers in the Netherlands in the
Deelproject van
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The Evolutionary Tale of Gaseous Exoplanets
This thesis investigates the evolution and fate of gaseous exoplanets, which are continuously shaped by stellar activity across both short and long timescales.
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Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.