514 search results for “game-based learning” in the Public website
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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.
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Teachers’ professional learning preferences
How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?
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Learning labs in conservatoire education
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…
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Nonverbal Learning Disorder (NLD)
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Deep learning for visual understanding
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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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
PhD Defence
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Sleep and learning in children
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
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.
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Professional learning: what teachers want to learn
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?
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Collaborative learning in conservatoire education: catalyst for innovation
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.
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Increased striatal activity in adolescence benefits 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…
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Reinforcement learning
The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.
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Blended learning
Blended learning is all about combining face-to-face instruction with online education.
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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
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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.
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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…
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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?
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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?
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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.
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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.
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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…
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Centre for Professional Learning
The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.
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Neurogenomics of vocal learning
How does FoxP1 affect auditory perception on a behavioural and genomic level?
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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?
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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…
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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…
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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.
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
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Centre for Professional Learning
This page is currently only available in Dutch. Click here to view this page in Dutch.
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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.
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Vision on teaching and learning
News, inspiration, background information, tools and more about the Learning@LeidenUniversity vision on teaching and learning.
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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…
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Artificial intelligence and 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…
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Deep learning for tomographic reconstruction with limited data
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.
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‘Seeing voices’: the role of multimodal cues in vocal learning
Can birds - like people- ‘see’ voices and learn how to sing by listening and watching?
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Teachers' perspectives on self-regulated learning: an exploratory study in secondary and university education
The topic of this PhD thesis is teachers' perspectives on self-regulated learning.
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Learning agreements and other forms
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.
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Learning from the past
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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Professional learning communities in pre-vocational secondary schools: Effects of interdependency on differentiated teaching
Three types of PLCs are studied, varying on the dimension of autonomy of and interdependency between teachers: Joint work, Aid and assistance and Shared practices.
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Professional learning communities for mentors of novice teachers
Professional learning communities are useful for professionalization but also for the development of induction programmes. In this project, we combine these two worlds into a professional learning communities in which mentors or novice teachers learn about mentoring and at the same time develop an induction…
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Flexible learning pathways
How can you make your courses more flexible? On this page, you will discover various ways to design more flexible courses.
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Learning assessment in online higher education
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.
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progress data in planning and evaluating instruction for students with learning disabilities
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Teachers' teaching and learning motivation in China
The research project focuses on teachers’ learning motivation and learning performance in professional learning activities.
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Spaces and Support for Active Learning & Teaching
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…
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Learning Problems and Impairments (international track) (MSc)
The master specialisation Learning Problems and Impairments offers you a combination of theories about learning problems and impairments and intervention and prevention strategies from a developmental perspective.
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Education
The Learning and Behavior Problems in Education program group is responsible for teaching in the area of learning problems.
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Spaces for Active Teaching and Learning (SALT)
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…