565 search results for “blended learning” in the Public website
-
Contact
The program group Learning and Behavior Problems in Education is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.
-
Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
-
Partnerships
The LACDR represents the core of bio-pharmaceutical research at Leiden University, and we interact closely with our partners:
-
Student motivation and achievement in lower secondary education in a context of differentiated talent development
This project aims to analyze and increase student motivation and achievement during the first three years of secondary school with an intervention that focuses on development of students’ talents.
-
Improving the Minor in Teaching to increase the number of Mathematics and Science students enrolled in teacher education
The Minor in Teaching was introduced in 2009 as a new initiative to introduce and prepare bachelor students for teaching. Student numbers are low, however, especially of mathematics and science students.
-
Professional agency of beginning teachers
To what extent do beginning teachers use, create and claim agency at their school?
-
Research and design in secondary science education
Research and design are becoming more and more important in international science education. In The Netherlands, two recently introduced subjects focus on research and design activities in the classroom: O&O (research and design) and NLT (nature, life and technology). This research aims to look at what…
-
Admission requirements
To be eligible for the Air and Space Law programme at Leiden University, you must meet the following admission requirements.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Programme structure
The master's specialisation Economic and Consumer Psychology consists of three main parts: the mandatory and elective courses, a thesis and an internship.
-
Why Psychology in Leiden?
Students and lecturers from around the world who have obtained international training, experience and exposure bring an international and multi-cultural perspective on psychology and being a psychologist to class.
-
Why Psychology in Leiden?
Students and lecturers from around the world bring an international and multi-cultural perspective on psychology to the class room. This, combined with the fact that all teaching and discussions will be in English, that we offer cross-cultural courses, and that you can study abroad for a semester, ensures…
-
Education system
Every year, Leiden University welcomes some 27,000 students from 115 different countries. In educating these students, we are committed to ensuring that the quality of our tuition meets or exceeds the highest-possible standards.
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
-
Modular learning: Enrolling in a single course
Do you want to be part of this unique programme, discuss cutting-edge topics of cyber security with other professionals, but do you not have time to enroll in this full master programme?
-
ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
-
Assistant Professor in Machine Learning for Quantum Systems
Science, Leiden Institute of Advanced Computer Science (LIACS)
-
Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
-
What we can learn from hi-tech nature
Biodiversity in the Netherlands is having a tough time. Professor of Natural Capital Koos Biesmeijer combines research with practical advice: from the greening of industrial parks to solutions inspired by hi-tech nature. Inaugural lecture 9 March.
-
Folke Glastra
Faculteit der Sociale Wetenschappen
glastra@fsw.leidenuniv.nl | +31 71 527 2727
-
Tom Kouwenhoven
Science
t.kouwenhoven@liacs.leidenuniv.nl | +31 71 527 4799
-
Surendra Balraadjsing
Science
s.balraadjsing@cml.leidenuniv.nl | +31 71 527 2727
-
Bart Vogelaar
Faculteit der Sociale Wetenschappen
b.vogelaar@fsw.leidenuniv.nl | +31 71 527 6022
-
Evin Aktar
Faculteit der Sociale Wetenschappen
e.aktar@fsw.leidenuniv.nl | +31 71 527 5228
-
Iris Koele
Faculteit der Sociale Wetenschappen
i.j.koele@fsw.leidenuniv.nl | +31 71 527 2727
-
Simone Rijksen
ICLON
s.rijksen@iclon.leidenuniv.nl | +31 71 527 4059
-
Simple rule learning is not simple: Studies on infant and adult pattern perception and production
On December 11th, Andreea Geambasu succesfully defended her doctoral thesis and graduated. The Leiden University Centre for Linguistics congratulates Andreea on this great result.
-
The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
-
Professional learning of vocational teachers in the context of work placement
Work placement as a professional development programme for vocational teachers has been widely implemented. This dissertation provides insight into vocational teachers’ learning process in this programme within Chinese vocational education.
-
Segments and rules: a comparative study on linguistic rule learning mechanisms
A central and much debated topic in the study of language acquisition concerns the nature of the learning mechanisms that are required. Are the computational and learning mechanisms that guide learning about language structure special and specific to language or humans?
-
characteristics of a negotiated assessment procedure to promote teacher learning
The literature indicates that teacher professional development and learning may be improved by using formative assessment procedures. This thesis focuses on a specific form of formative assessment, negotiated assessment, which is characterised by the exchange of views between assessor and assessee and…
-
Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
-
Learner–learner interaction in digital learning environments: what and how are we measuring?
Galikyan’s dissertation examines how the multidimensionality of learnerlearner interaction data and the multifacetedness of learner-learner interaction itself impact the measurement of learner-learner interaction in digital learning environments.
-
Stephan Raaijmakers: 'Humans and systems have to learn to understand each other better'
You can ask virtual assistant Siri about the weather, but you can’t have a real conversation with it yet. You can’t refer to anything that’s been said before, or ask the system why it says what it says. Stephan Raaijmakers, Professor by Special Appointment from TNO, hopes to change this.
-
Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
-
Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
-
Christa Tobler gives presentation about the use of ePortfolios as an assessment method in academic teaching
On 4 April 2019, the University of Basel held a conference on the subject of digitisation in academic teaching.