945 search results for “learning problems and impairments” in the Public website
-
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…
-
Exploring Deep Learning for Intelligent Image Retrieval
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.
-
Blended learning
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
-
Negotiating Peace with Your Enemy: The Problem of Costly Concessions
Why do some parties fail to settle conflict, even after long periods of fighting? ISGA PhD candidate Valerie Sticher suggests that costly concessions often stand in the way of a negotiated agreement. Conflict party members not only care about their in-group's welfare, but also want to avoid rewarding…
-
Pre- and perinatal risk factors
Effects of maternal smoking, premature birth, intra-uterine growth retardation and asphyxia on child development.
-
Geometric approach to evolution problems in metric spaces
Promotor: S.M. Verduyn Lunel, Co-promotor: O.W. van Gaans
-
Hanneke Hulst
Faculteit der Sociale Wetenschappen
h.e.hulst@fsw.leidenuniv.nl | +31 71 527 4084
-
Design for the Future: Wicked Environmental Problems in Sustainability and Health
How do we approach education that facilitates creative confidence for students that leads to innovative solutions to society’s present day and future sustainability challenges? This education research project tackles a sustainability dilemma faced by households in everyday life viz.
-
Nurbolat Kenbayev
Science
n.kenbayev@liacs.leidenuniv.nl | +31 71 527 2727
-
Self-directed learning with mobile technology in higher education
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…
-
Collaborative learning in teacher education: Intended, implemented and experienced curriculum
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?
-
Student engagement in blended learning in higher education
In what way can teachers support and enlarge student engagement in a blended learning context?
-
Marianne van Dijken
Faculteit der Sociale Wetenschappen
m.j.van.dijken@fsw.leidenuniv.nl | +31 71 527 2727
-
Learning from small samples
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…
-
A good start: Early prevention of anti-social behavior
-
-
University teachers’ learning paths during technological innovation of education
To what extent are university teachers' individual learning paths influenced by their teaching experience, motivation, and conceptions of teaching and learning through educational technology?
-
Beth Lloyd
Faculteit der Sociale Wetenschappen
b.lloyd@fsw.leidenuniv.nl | +31 71 527 2727
-
Dineke Tigelaar
ICLON
dtigelaar@iclon.leidenuniv.nl | +31 71 527 6552
-
Wilfried Admiraal
ICLON
-
Frans Rodenburg
Science
f.j.rodenburg@biology.leidenuniv.nl | +31 71 527 2727
-
Moji Aghajani
Faculteit der Sociale Wetenschappen
m.aghajani@fsw.leidenuniv.nl | +31 71 527 6030
-
Claudia König
Faculteit der Sociale Wetenschappen
c.e.konig@fsw.leidenuniv.nl | +31 71 527 2727
-
Rosa Koenraadt
Faculteit Rechtsgeleerdheid
r.m.koenraadt@law.leidenuniv.nl | +31 71 527 4194
-
Evelien Urbanus
Faculteit der Sociale Wetenschappen
e.l.urbanus@fsw.leidenuniv.nl | +31 71 527 2727
-
Active Learning Network
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.
-
Activating teaching and learning
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.
-
Flexible learning pathways
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…
-
New polymyxin antibiotics for old problems: addressing nephrotoxicity and resistance
Polymyxins are clinically used antibiotics, discovered in mid-20th century. Once abandoned due to excessive nephrotoxicity, they are now used increasingly to address infections caused by multi-drug resistant Gram-negative bacteria.In this thesis, we describe the development and synthesis of analogues…
-
PhD Thesis: Development of human skin equivalents to unravel the impaired skin barrier in atopic dermatitis skin
Recently, the PhD thesis of Lolu Danso Eweje appeared entitled ’Development of human skin equivalents to unravel the impaired skin barrier in atopic dermatitis skin’.
-
e-Coach: Tailored cognitive-behavioral e-Health care for patients with chronic somatic conditions
The major aim is to develop, evaluate, and implement disease-generic cognitive-behavioral interventions through the internet in order to optimize tailored health care for patients with chronic somatic conditions.
-
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…
-
Centre for Professional Learning
The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.
-
Object-based learning in science museums
How do museum visitors interpret the authenticity of museum objects? How can we support visitors' meaningful interactions with real objects?
-
Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
-
Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
-
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…
-
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.
-
Nina Eggens
Faculteit Rechtsgeleerdheid
n.eggens@law.leidenuniv.nl | +31 71 527 2727
-
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…
-
Language and self-regulation in XXY
The role of language in self-regulation and social behavior in children with an extra X chromosome
-
Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
-
Speech intelligibility problems of Sudanese learners of English. An experimental approach
This dissertation aims at discussing the nature and the linguistic factors assumed responsible for speech intelligibility problems of Sudanese learners of English.
-
Centre for Professional Learning
This page is currently only available in Dutch. Click here to view this page in Dutch.
-
dynamics: Understanding collaborative governance approaches to ‘big’ problems through studying ‘small’ practices
In this article, Lianne Visser contributed to the understanding of why collaborative governance is a challenging response to wicked problems.
-
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.
-
Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
-
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…
-
Learning Chairs
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…
-
Aske Plaat
Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
-
Vision on teaching and learning
News, inspiration, background information and more about the Learning@LeidenUniversity vision on teaching and learning.