The aim of this thesis was to examine what teachers want to learn themselves. The main research question was: what, how and why teachers want to learn? And does this depend on their years of teaching experience and the school at which they work?

The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.

Blended learning is all about combining face-to-face instruction with online education.

The programme is also offered in a blended learning version: this is a combination of distance learning and face-to-face learning. Read more information

How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?

Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

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Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…

With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.

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The active learning network joins together everyone interested in the subject to move the theme further within Leiden University. The SALTSWAT pilot program researches the ways forward for Leiden University.

The active learning ambition is based on the idea that knowledge is more likely to ‘stick’ when students are actively engaged with their learning and research. This active student participation has implications for how we teach: less consumption of knowledge and more efficient use of contact hours.

The ambition to have flexible learning pathways is about creating possibilities to improve the content and form of students’ learning process, and to link learning to students’ needs. Students who have access to a flexible range of learning pathways can align their university career with their own personal…

Need a teaching qualification (BKO) or advice on a digital classroom tool? Want to redesign your course, find ways of engaging more students or learn about technologies such as XR? Leiden Learning & Innovation Centre (LLInC) can help.

The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.

How does FoxP1 affect auditory perception on a behavioural and genomic level?

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…

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.

This page is currently only available in Dutch. Click here to view this page in Dutch.

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.

How can you make your courses more flexible? On this page, you will discover various ways to design more flexible courses.

The aim of this study was to provide insight into how teachers in higher education can be supported in the design, implementation and evaluation of group assignments by developing a theoretical and evidence-based framework for the design of group assignments.

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…

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…

News, inspiration, background information, tools and more about the Learning@LeidenUniversity vision on teaching and learning.

Heightened activation of the striatum that adolescents show in response to reward is often associated with risk-taking and negative health consequences. This article in Nature Communications investigates a potential positive side of this heightened activation. It shows that the activity peak in late…

You may have to complete forms or have documents signed upon your arrival at Leiden University. Find out who you can turn to for assistance.

This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.

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…

How do museum visitors interpret the authenticity of museum objects? How can we support visitors' meaningful interactions with real objects?

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

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.

The research project focuses on teachers’ learning motivation and learning performance in professional learning activities.

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…

The Learning and Behavior Problems in Education program group is responsible for teaching in the area of learning problems.

This master specialization offers you a combination of theories about learning problems and impairments and intervention and prevention strategies from a developmental perspective.

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…

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…

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?…

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.

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.

The aim of this research project was to increase understanding of which collaborative learning approaches already exist in conservatoire education, and how implementation of collaborative learning could be supported.

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.

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.

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.

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…

Tuesday 12 September 2017 Willy de Heer defended her PhD Thesis

How can we broaden youth participation in STEM Learning

Can dynamic testing provide us with insight in children’s potential for learning?

A strong link between teaching and research is one of the core values of Leiden University.