754 search results for “gravitational learning” in the Public website
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Vision on teaching and learning
News, inspiration, background information and more about the Learning@LeidenUniversity vision on teaching and learning.
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Suicide Prevention Skills Learning Pathway: Towards Conscious Competence
A continuous learning pathway in suicide prevention equips psychology students with essential knowledge and skills to recognise suicidality effectively and to initiate the conversation about it.
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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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Anna Dawid-LekowskaFaculty of Science
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Björn van ZwolFaculty of Science
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Catur WulandariICLON
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Machine Learning in Quantum Sciences
Cambridge University Press has published a new book co-authored by researchers from Leiden University, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum…
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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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Deep Learning Solutions for Domain-Specific Image Segmentation
Image segmentation is a fundamental task in computer vision, with applications ranging from medical diagnostics to archaeological research.
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Probing the darkness: the link between baryons and dark matter
Promotor: Prof.dr. J. Schaye, Co-promotor: Marcello Cacciato
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progress data in planning and evaluating instruction for students with learning disabilities
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Matthijs van LeeuwenFaculty of Science
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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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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Learning by Doing in Journalism
Students at Leiden University College (LUC) gain an understanding of journalism ‘from the inside out’ through innovative teaching methods in the courses Multimedia Journalism, Investigative Journalism and Gender, Media and Conflict. By simulating the actual daily tasks of journalists, they are exposed…
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Fatemeh Mehrafrooz MayvanFaculty of Science
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I-Fan LinFaculty of Science
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Philipp KropfFaculty of Science
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Elise KortinkSocial & Behavioural Sciences
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Chenyu ShiFaculty of Science
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Ili MaSocial & Behavioural Sciences
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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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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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The crucible of war: Dutch and British military learning processes in and beyond southern Afghanistan
To what extent have the Dutch and British militaries learned from their counterinsurgency operations in southern Afghanistan between 2006 and 2020?
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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…
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Sjoerd LindenburgICLON
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Gergana VasilevaICLON
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Els GoetschalckxICLON
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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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Redefining our vision on teaching and learning
In a rapidly changing world it is crucial that our teaching keeps pace with the dynamics of society.
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The Active Learning Network & Saltswat Pilot Program
2 joint initiatives began in 2019 which attempt to connect the various efforts around active learning at Leiden University: the active learning network, and the Saltswat project.
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Support with Active Learning & Teaching (SWAT)
You can get various forms of support for you active learning ambitions. Have you already reflected on your teaching practice and have a clear idea of your goals? Your first point of contact should then be your ICTO Coordinator & ICLON. Do you want to join the network of others involved in the topic?…
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About the vision on teaching and learning
The Learning@LeidenUniversity vision on teaching and learning is about what we want our future graduates to be and what that means for our curricula and our learning environment. It offers a long-term framework for the further development of our education and marks the start of a process of innovati…
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Research
The research of the group Learning and Behavior Problems in Education addresses learning difficulties in the areas of reading (technical reading and reading comprehension) math and writing, and examines learning-related behaviors behaviors.
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Factors in educational learning process that may affect the math achievement of elementary school students
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Amer JaganjacICLON
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Wilfried AdmiraalICLON
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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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XR (Extended Reality) to learn global challenges
Development of effective VR training for International Law of Armed Conflict (ILAC)
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Intelligence, Dynamic testing and potential for learning
Can dynamic testing provide us with insight in children’s potential for learning?
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Apps for learning African sign languages
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…
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Vincent Croft-Faculty of Science
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Automata learning: from probabilistic to quantum
This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Broadening Youth Participation in STEM Learning
How can we broaden youth participation in STEM Learning
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Formative Assessments and Teacher Professional Learning
How can formative assessment be used to promote teacher professional learning? This book contains various studies into professionalization approaches and courses in which formative assessment is used with a view to teacher learning.
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Development of a academic monitoring system for students with learning problems in secondary school
Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years