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

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

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…

This project on the role of FoxPs in vocal perception and production learning is part of nine PhD-positions funded by the NWO Gravitation Programme which was granted to the Dutch Research Consortium 'Language in Interaction'

Arts and leisure, Arts and leisure

The experiments described in this thesis employ local lentiviral knockdowns in brain areas of female zebra finches followed by behavioural assays consisting of preference and Go/Nogo tasks.

Understanding the nature, characteristics and function of the secular vocal intabulations and dances found in Italian printed keyboard sources in the 16th century

Today’s performances of medieval polyphony have a lot in common with those of other ‘classical’ or ‘early’ music. Ensembles perform pieces written by known or lesser known composers, which the listener can revisit by listening to recordings or reading a score.

This dissertation examines the airs sérieux contained within the Recueils d’airs serieux et a boire de differents autheurs published by the Ballard printing house in Paris between 1695 and 1699 inclusive.

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

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…

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

-

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.

In this project we study the properties of statistical- and rule-learning mechanisms in relation to the acquisition and evolution of language. We ask to what extent these mechanisms are unique to humans - or to human language - by comparing the acquisition of vocal structure in two species: humans (infants)…

-

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

In our culture, vocal harmonics function as independent musical elements since only a few decades. Thresholds of the audible explores the changing relationship between singers, listeners and harmonics.

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

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.

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?

The thesis presents a new perspective on Giovanni Girolamo Kapsperger (ca.1580-1651), who is nowadays only famous for his works for theorbo and lute, his remarkable output of vocal music of all genres being still mostly neglected from musicologists and performers.

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.

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…

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

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…

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

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…

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

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

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.

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

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…

This book is witness to Hendrik Vanden Abeele’s research into the development, construction and creation of a present-day performance practice of late medieval plainchant, based partly on his work with the Belgian chant group Psallentes.

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.

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