1,267 search results for “learning analysis” in the Public website
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Sietse Schröder -
Chloe HongICLON
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Environmental sustainability of NdFeB magnet recycling: foresight study on recycling systems and technologies
The demand for neodymium-iron-boron (NdFeB) magnets is rapidly growing, while the neodymium supply chain is under pressure. Recycling can alleviate these issues. This thesis investigates the potential for deploying novel magnet recycling technologies and their environmental consequences.
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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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Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
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Marit Guda
Faculty of Social and Behavioural Sciences
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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…
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Effects of the early social environment on song and preference learning in zebra finches
Songbirds as vocal learners learn their songs and song preference from social tutors. Tutor choice for both song and preference learning are important to characterize for understanding individual learning performance and cultural transmission of song.
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Using Deep Learning Models in Image Processing
Deep learning has revolutionized image processing, enabling remarkable advances in fields from autonomous driving to medical diagnostics.
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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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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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Preferences for risk conversations in everyday life: a conjoint analysis
This article investigates which factors most influence individuals’ decisions to engage in conversations about risk.
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Functional analysis of agrobacterium tumefaciens virulence protein VirD5
Supervisor: P.J.J. Hooykaas
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Kin Enough, article by Irene Moretti in Social Analysis
Irene Moretti published the article Kin Enough in Social Analysis, The International Journal of Anthropology.
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Water use of electricity technologies: A global meta-analysis
Understanding the water use of power production is an important step to both a sustainable energy transition and an improved understanding of water conservation measures. However, there are large differences across the literature that currently present barriers to decision making.
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Documentation and analysis of !Ora and !Ui languages
This project aims at describing the Khoisan languages !Ora (Korana/Griqua) and !Ui of South Africa.
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Automated text analysis of policy-related documentation
Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…
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Empirical Analysis of Social Insurance, Work Incentives and Employment Outcomes
On 24 January 2024, Vethaak defended the thesis 'Empirical Analysis of Social Insurance, Work Incentives and Employment Outcomes'. The doctoral research was supervised by Koen Caminada and Pierre Koning.
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Analysis of 13C and 15N isotopes from Eurasian Quaternary fossils
Insights in diet, climate and ecology
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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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Multivariate Humanities
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…
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Living on the Other Side: A Multidisciplinary Analysis of Migration and Family Law in Morocco
What are the rights of migrants in Morocco and how do this receiving state and migrants deal with them in practice?
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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 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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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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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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progress data in planning and evaluating instruction for students with learning disabilities
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Maarten KampertLURIS
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Emilio Solis Sanchez -
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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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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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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Timothy Na -
Fatma Al Manji -
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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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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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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Kim Stroet
Faculty of Social and Behavioural Sciences
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Björn van Zwol -
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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Emma EveraertFaculty of Social and Behavioural Sciences
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Geerte Holwerda-van den BergICLON
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What's in the diet? DNA-based analysis for qualitative and quantitative assessment of animal diet
Animal diet studies are critical for understanding ecological processes such as trophic interactions, energy flow, and nutrient cycling. By examining what animals consume, ecologists gain insights into species specialization, predator-prey relationships, and ecosystem management.
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Standardising care of the dying: An ethnographic analysis of the Liverpool Care Pathway in England and the Netherlands
The article 'Standardising care of the dying: An ethnographic analysis of the Liverpool Care Pathway in England and the Netherlands' by Erica Borgstrom and Natashe Lemos Dekker is published in Sociology of Health & Illness.
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of reading strategies or changes in readers' attitudes? A meta-analysis
Our previous meta-analysis (Swart et al., 2019) had shown that feedback targeting text comprehension given when students perform a reading task positively influences learning from text. So far, differences in the effects of feedback were explained by design features, such as the timing and richness…
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Education
The Learning and Behavior Problems in Education program group is responsible for teaching in the area of learning problems.