In the BNR Newsradioprogram De Nieuwe Wereld, professors Aske Plaat (Data Science) and Catholijn Jonker (Explainable AI) of the computer science institute of Leiden University discuss about decisions made by computers. From self-driving cars to intelligent soap pumps: should we be able to follow the…

The skin has recently gained attention within body studies for its many specific cultural and social associations, in addition to its biology. This project aims to examine the different layers of meaning and the functions invested in the skin in ancient Greece: how did ancient Greek literary and medical…

In the 1960s at MIT, cognitive scientist Marvin Minsky told a couple of graduate students to program a computer to perform the simple task of recognising objects in pictures, thinking it would be a nice summer project. Scientists from Leiden and the rest of the world are still working on it today.

The goal of the LIACS Media Lab (LML) at Leiden University is to conduct state-of-the-art research in the areas of deep learning, artificial intelligence and computer vision.

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PhD defence

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.

The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

This thesis aims to enhance our understanding of galaxies by testing theoretical models of galaxy formation against observations, particularly in the cases of extreme systems which have been found to have an excess of baryonic mass in their central regions, in the form of either supermassive black holes…

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 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.

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…

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

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…

You can do a degree in Artificial Intelligence at Leiden University, but its role is also increasing in other degree programmes.

Bernhard Brandl, the new Leiden Professor of Infrared Astronomy, is developing instruments for the world’s largest telescopes. These telescopes can be used to observe objects in space that are more than 13 billion years old. Brandl will deliver his inaugural lecture on 26 September.

Language learners in higher education increasingly conduct out-of-class self-directed learning facilitated by mobile technology. This project aims to explore how university students use mobile technology for their self-directed language learning and investigate factors that influence their self-directed…

How is collaborative learning in teacher education designed and implemented? How do students experience those collaborative learning assignments? What aspects of the design and the implementation lead to which perceived learning outcomes?

In what way can teachers support and enlarge student engagement in a blended learning context?

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

To what extent are university teachers' individual learning paths influenced by their teaching experience, motivation, and conceptions of teaching and learning through educational technology?

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.

Light reflects from a mirror, but where exactly does this reflection happen? Well, it depends, Martin van Exter and Corné Koks discovered. Their precise calculations, published in Optics Express, are important for designing optical cavities for quantum communication.

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…

‘Even at the deepest point in the ocean you can still hear the noise from boats,' says biologist Hans Slabbekoorn. ‘And that's while sound is the most important means of communication for underwater life.' What is the effect of all that underwater noise on fish and other animals? Slabbekoorn is on board…

On the basis of the characteristic aspects of a picture, certain computers can tell us what the picture is showing. They can learn this in the same way that young children are able to learn to recognize images. Further improving these techniques opens the way to a whole range of new applications. Biology…

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?

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

LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.

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.

Currently the focus of the project is the development of a tool that utilizes dimensionality reduction techniques in order to analyze and interpret the lexical and phonological variation between different sign languages. Additionally, the application of deep learning techniques for the extraction of…

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…

The Faculty of Archaeology

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

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This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…

Scientists of Leiden University and Technical University Delft are going to predict how and where defects in sewer systems arise. They are working with light sensitive camera’s, based on new automated multi-sensor inspection with stereo vision and laser range scanning. Their models are going to process…

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…

In the Department of Business Sciences, three chairs are established. Together, the chair holders lead the Turnaround, Rescue & Insolvency Leiden Research Team (TRI Leiden), which consists of legal and business science researchers from Leiden Law School. TRI Leiden aims, through an international and…

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

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.

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.

LUCDH facilitates workshops that promote the acquisition of skills and knowledge in employing digital tools.

Can birds - like people- ‘see’ voices and learn how to sing by listening and watching?

The topic of this PhD thesis is teachers' perspectives on self-regulated learning.

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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