730 search results for “blondel learning” in the Public website
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Artificial Intelligence & Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Centre for Professional Learning
The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Language Learning Resource Centre
The language learning resource centre unites all language teaching professionals working at Leiden University: teachers and researchers at the LUCL, ATC, LUCAS, LIAS, and ICLON.
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Neurogenomics of vocal learning
How does FoxP1 affect auditory perception on a behavioural and genomic level?
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Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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Learn to Dare!
The ‘Leer te Durven!’ program (Learn to Dare) is a preventive training program for children with mild anxiety symptoms (Simon & Bögels, 2014). The program has been developed for children between the ages of 8 and 12 who feel or behave anxiously, avoid situations, are afraid of doing things wrong, appear…
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Aske Plaat
Faculty of Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Enhancing Autonomy and Efficiency in Goal-Conditioned Reinforcement Learning
Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.
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Centre for Professional Learning
This page is currently only available in Dutch. Click here to view this page in Dutch.
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Alan Kai Hassen
Faculty of Science
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Nadira Saab
ICLON
n.saab@iclon.leidenuniv.nl | +31 71 527 5726
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Suzanne Mol
Social & Behavioural Sciences
s.e.mol@fsw.leidenuniv.nl | +31 71 527 6759
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Assessing Learning in Higher Education
Assessing Learning in Higher Education addresses what is probably the most time-consuming part of the work of staff in higher education, and something to the complexity of which many of the recent developments in higher education have added. Getting assessment ‘right’– that is, designing and implementing…
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Effects of the early social environment on song and preference learning in zebra finches
Songbirds as vocal learners learn their songs and song preference from social tutors. Tutor choice for both song and preference learning are important to characterize for understanding individual learning performance and cultural transmission of song.
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Self-directed language learning using mobile technology in higher education
This dissertation aims to explore how university students use mobile technology for their self-directed language learning and investigate factors influencing their self-directed learning with mobile technology.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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Vision on teaching and learning
News, inspiration, background information and more about the Learning@LeidenUniversity vision on teaching and learning.
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‘Seeing voices’: the role of multimodal cues in vocal learning
Can birds - like people- ‘see’ voices and learn how to sing by listening and watching?
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Learning from the past
Leiden archaeologists investigate how people in the past impacted their environment. Together with scientists, environmental scientists, and humanities experts, they use this information to draw conclusions about the present – and show what we can learn from it for the future.
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Professional learning communities in pre-vocational secondary schools: Effects of interdependency on differentiated teaching
Three types of PLCs are studied, varying on the dimension of autonomy of and interdependency between teachers: Joint work, Aid and assistance and Shared practices.
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Matthijs van Leeuwen
Faculty of Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Fatemeh Mehrafrooz Mayvan
Faculty of Science
f.mehrafrooz.mayvan@liacs.leidenuniv.nl | +31 71 527 2727
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I-Fan Lin
Faculty of Science
i.lin@liacs.leidenuniv.nl | +31 71 527 2727
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Philipp Kropf
Faculty of Science
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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Elise Kortink
Social & Behavioural Sciences
e.d.kortink@fsw.leidenuniv.nl | +31 71 527 2727
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Chenyu Shi
Faculty of Science
c.shi@liacs.leidenuniv.nl | +31 71 527 2727
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Ili Ma
Social & Behavioural Sciences
i.ma@fsw.leidenuniv.nl | +31 71 527 2727
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Professional learning communities for mentors of novice teachers
Professional learning communities are useful for professionalization but also for the development of induction programmes. In this project, we combine these two worlds into a professional learning communities in which mentors or novice teachers learn about mentoring and at the same time develop an induction…
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Factors in educational learning process that may affect the math achievement of elementary school students
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Learning by Doing in Journalism
Students at Leiden University College (LUC) gain an understanding of journalism ‘from the inside out’ through innovative teaching methods in the courses Multimedia Journalism, Investigative Journalism and Gender, Media and Conflict. By simulating the actual daily tasks of journalists, they are exposed…
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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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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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progress data in planning and evaluating instruction for students with learning disabilities
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Book Learn to Dare/DDD
In 2008, the intervention ‘Denken + Doen = Durven’ (Think + Do = Dare) was developed in the Netherlands (Bögels, 2008). This is a cognitive behavioral therapy program for children and young people between the age of 8 to 18, diagnosed with an anxiety disorder. The intervention is given by a professional,…
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Learning assessment in online higher education
The main interest of this project concerns learners’ perceived learning outcomes in massive open online courses and the factors related to their perceived learning outcomes.
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Spaces and Support for Active Learning & Teaching
Within the Vision on Teaching and Learning, one of the 8 ambitions is Activating Teaching and Learning. With the support of the Vice-Deans and Vice-Rector, Hester Bijl, the Saltswat project is working on accelerating this ambition. What is the purpose of this site? Being effective…
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Teachers' teaching and learning motivation in China
The research project focuses on teachers’ learning motivation and learning performance in professional learning activities.
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Spaces for Active Teaching and Learning (SALT)
Here you will find an overview of the Spaces for Active Teaching and Learning already implemented at Leiden University and LUMC. These rooms vary in size, location, material affordances, and technological affordances, and thus vary in the forms of pedagogy they best support. You can use this site as…
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Learning Problems and Impairments (international track) (MSc)
This master specialization offers you a combination of theories about learning problems and impairments and intervention and prevention strategies from a developmental perspective.
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Education
The Learning and Behavior Problems in Education program group is responsible for teaching in the area of learning problems.
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The Active Learning Network & Saltswat Pilot Program
2 joint initiatives began in 2019 which attempt to connect the various efforts around active learning at Leiden University: the active learning network, and the Saltswat project.
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Redefining our vision on teaching and learning
In a rapidly changing world it is crucial that our teaching keeps pace with the dynamics of society.
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Anna Dawid-Lekowska
Faculty of Science
a.m.dawid@liacs.leidenuniv.nl | +31 71 527 2727
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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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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.