739 search results for “berger learning” in the Public website
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Support with Active Learning & Teaching (SWAT)
You can get various forms of support for you active learning ambitions. Have you already reflected on your teaching practice and have a clear idea of your goals? Your first point of contact should then be your ICTO Coordinator & ICLON. Do you want to join the network of others involved in the topic?…
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About the vision on teaching and learning
The Learning@LeidenUniversity vision on teaching and learning is about what we want our future graduates to be and what that means for our curricula and our learning environment. It offers a long-term framework for the further development of our education and marks the start of a process of innovati…
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Research
The research of the group Learning and Behavior Problems in Education addresses learning difficulties in the areas of reading (technical reading and reading comprehension) math and writing, and examines learning-related behaviors behaviors.
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XR (Extended Reality) to learn global challenges
Development of effective VR training for International Law of Armed Conflict (ILAC)
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Formative Assessments and Teacher Professional Learning
How can formative assessment be used to promote teacher professional learning? This book contains various studies into professionalization approaches and courses in which formative assessment is used with a view to teacher learning.
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The comparative biology of language learning
A theoretical project on the insights gained by human (including infant), nonhuman animal and computational studies on artificial grammar learning; identifying the critical questions for future research by developing novel experimental and computational approaches to address these issues.
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Vietnam: Exploring the deep determinants of learning
Vietnam’s record of expanding access to education, and especially its performance on international assessments such as PISA, has raised questions about what Vietnam got right, how, and why and what insights Vietnam’s experiences might offer for efforts at improving the performance of education systems…
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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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Broadening Youth Participation in STEM Learning
How can we broaden youth participation in STEM Learning
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Alan Kai Hassen
Science
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Fons Verbeek
Science
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Suzanne Mol
Faculteit der Sociale Wetenschappen
s.e.mol@fsw.leidenuniv.nl | +31 71 527 6759
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Nadira Saab
ICLON
n.saab@iclon.leidenuniv.nl | +31 71 527 5726
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Intelligence, Dynamic testing and potential for learning
Can dynamic testing provide us with insight in children’s potential for learning?
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Education for double-quick learning children
Tuesday 12 September 2017 Willy de Heer defended her PhD Thesis
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Apps for learning African sign languages
It is our goal to deliver a convenient, enjoyable, learning experience that goes beyond the basics. All of the apps are an initiative of the HANDS! Lab for Sign Languages and Deaf Studies at Leiden University, as part of the Language Socialization in Deaf Families project funded by the Leiden University…
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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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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Fatemeh Mehrafrooz Mayvan
Science
f.mehrafrooz.mayvan@liacs.leidenuniv.nl | +31 71 527 2727
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Simon Marshall
Science
s.c.marshall@liacs.leidenuniv.nl | +31 71 527 2727
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I-Fan Lin
Science
i.lin@liacs.leidenuniv.nl | +31 71 527 2727
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Ili Ma
Faculteit der Sociale Wetenschappen
i.ma@fsw.leidenuniv.nl | +31 71 527 2727
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Philipp Kropf
Science
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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Elise Kortink
Faculteit der Sociale Wetenschappen
e.d.kortink@fsw.leidenuniv.nl | +31 71 527 2727
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Cosima Nimphy
Faculteit der Sociale Wetenschappen
c.a.nimphy@fsw.leidenuniv.nl | +31 71 527 6457
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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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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Teacher Learning Through Novice-expert Interaction in the Context of Chinese Vocational Education
The aim of this research is to gain insight into the approaches of learning to teach. Teacher learning processes, feedback in novice-expert interaction and the impact of the interaction are explored.
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More efficient learning thanks to sleep
Young children, adolescents and students may experience learning difficulties as a result of lack of sleep. Dr Kristiaan van der Heijden investigates sleep problems and solutions for various age groups.
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Information activities
Get to know us through our online and in-person events for prospective students!
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.
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Individual teacher learning in a context of collaboration in teams
In this study we aimed to examine teacher learning within a context of collaboration in interdisciplinary teams.
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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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Teacher professional learning and collaboration in secondary schools
This dissertation focuses on teacher professional learning and collaboration in secondary schools.
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Effects of interdependency between teachers in professional learning communities on differentiated teaching based on cognitive differences of
What relationships exist between different types of PLCs and cognitive differentiated teaching?
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What we can learn from the Mycenaeans
The Mycenaean civilization of ancient Greek times offers enormous potential for useful information: from innovative construction methods to ways of handling crisis situations as a society. Archaeologist Ann Brysbaert and her team analyse Mycenaean construction processes in the ERC Consolidator project…
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Learning and Behavior Problems in Education: Challenges and Solutions
The program group Learning and Behavior Problems in Education: Challenges and Solutions strive to find solutions to the learning and behavior challenges faced by preschool and elementary-school children, youth, and young adults in education. In doing so, the group focuses on cognition and behavior and…
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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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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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about bilingual education? A window on Content and Language Integrated Learning pedagogies
In the Netherlands approximately 130 out of 700 secondary schools offer a bilingual stream. However, research about CLIL (Content and Language Integrated Learning) is limited. With her dissertation Evelyn van Kampen (PhD student at ICLON) wants to contribute to the understanding of the nature and range…
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What can Europe learn from Islamic thought?
Islamic banking, freedom of religion, LGBTQ+ acceptance and education are topics that European Muslims find important for their future. These are the results of a survey by Professor of Islam and the West, Maurits Berger. The survey is the starting point of a citizen project in which Berger wants to…
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Learning the Right Lessons for the Next Pandemic
This report highlights the huge potential of public inquiries to ensure that lessons are learned from COVID-19 to help the UK prepare for a future pandemic.
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Neural correlates of vocal learning in songbirds and humans: cross-species fMRI studies into individual differences
Vocal learning is a trait shared by songbirds and humans. It is also a trait that is restricted by the brain rather than by a species' vocal apparatus. In this dissertation, functional MRI is employed in both species in order to explore potential common neural mechanisms underlying the ability to develop…
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Contact
The program group Learning and Behavior Problems in Education is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.
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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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Postdoc on Causal Machine Learning for Spatio-temporal Datasets
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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.