751 search results for “bender learning” in the Public website
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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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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Suzanne MolFaculty of Social and Behavioural Sciences
s.e.mol@fsw.leidenuniv.nl | 071 5276759
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Somayeh SahebalzamaniFaculty of Social and Behavioural Sciences
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Christos Athanasiadisc.athanasiadis@liacs.leidenuniv.nl | 071 5272727
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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.
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Open-world Continual Learning via Knowledge Transfer
This thesis investigates Open-world Continual Learning (OWCL), a learning paradigm designed for intelligent systems operating in non-stationary environments with persistent exposure to unknown data.
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PRIORITY: Prioritising novel genomic and chemical space via federated learning and preclinical development
There are millions of gene clusters that encode the biosynthesis of bioactive natural products, with the vast majority yet unknown. How can we prioritize them to discover new chemical space for antibiotics? For this we will set up a pipeline based on federated learning (AI), synthetic biology and bioactivity…
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the Gap Between Design and Implementation for Technology-Enhanced Learning Systems
Technologies that help to enhance our educational environments can be found everywhere.
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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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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements
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Dineke TigelaarICLON
dtigelaar@iclon.leidenuniv.nl | 071 5276552
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Tianyuan Wangt.wang@liacs.leidenuniv.nl | 071 5272727
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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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Book Learn to Dare/DDD
In 2008, the intervention ‘Denken + Doen = Durven’ (Think + Do = Dare) was developed in the Netherlands (Bögels, 2008). This is a cognitive behavioral therapy program for children and young people between the age of 8 to 18, diagnosed with an anxiety disorder. The intervention is given by a professional,…
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Lysanne PostICLON
l.s.post@iclon.leidenuniv.nl | 071 5272727
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Matthijs van Leeuwenm.van.leeuwen@liacs.leidenuniv.nl | 071 5277048
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Fons Verbeekf.j.verbeek@liacs.leidenuniv.nl | 071 5275773
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Evert van Nieuwenburge.p.l.van.nieuwenburg@liacs.leidenuniv.nl | 071 5275523
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Reciprocal learning of mentor and mentee during the secondary school internship
How can reciprocal learning of mentor and mentee about PCK (Pedagogical Content Knowledge) during the secondary school internship be established?
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Tailored digital gamification to enhance students’ learning outcomes and motivation in higher education
One-size-fits-all digital gamification sometimes hinders students’ learning due to the ignorance of individual differences. This project aims to explore how tailored digital gamification can be used in higher education and its effects on university students’ motivation and learning outcomes.
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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.
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Limits of Tax Jurisdiction
How do tax treaties have to be explained and implemented, and what role does the supranational regulatory process play in this? Which objectives are meant to be used in establishing tax regulations and to what extent are such legislative practices undertaken in a goal-oriented manner?.
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Arjen de VettenICLON
a.j.de.vetten@iclon.leidenuniv.nl | 071 5271771
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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.
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Philipp Kropfp.kropf@cml.leidenuniv.nl | 071 5272727
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Fatemeh Mehrafrooz Mayvanf.mehrafrooz.mayvan@liacs.leidenuniv.nl | 071 5272727
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I-Fan Lini.lin@liacs.leidenuniv.nl | 071 5272727
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Jens van Bijsterveldj.van.bijsterveld@liacs.leidenuniv.nl | 071 5272727
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Advisory dashboards: Using learning analytics to explore higher educations students’ online and offline feedback processes
Learning analytics tracks students’ online learning activities in order to support their learning. But what if most of their learning takes place offline, out of sight of digital eyes?
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Mathieu Cherpitelm.j.l.cherpitel@liacs.leidenuniv.nl | 071 5272727
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Jay te Beestj.t.te.beest@liacs.leidenuniv.nl | 071 5272727
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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…
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Inquiry: A Framework for Designing and Assessing Crisis Inquiries from a Learning Perspective
In this article, Wout Broekema, Wouter Jong, and Sara Perlstein explore the design and assessment of crisis inquiries from a learning perspective.
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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.
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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…
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of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…
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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.
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Roeland van der RijstICLON
rrijst@iclon.leidenuniv.nl | 071 5276496
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Blended learning activates students
Recently, the booklet 'Blended Learning, het versterken van het onderwijs op de Universiteit Leiden' has been launched. Sonja Wagenaar, educational adviser at ICLON, was project manager of the three-year Blended Learning Program in which blended learning training was implemented in the studies Psychology,…
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A study into students' motivation and engagement in problem-based learning in Indonesian Higher education
What is students’ engagement in problem-based learning (PBL) and case-based learning (CBL) in teacher certification programs?
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Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction'
If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.
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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.
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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.
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Willem HeiserFaculty of Social and Behavioural Sciences
heiser@fsw.leidenuniv.nl | 071 5272727
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Isabelle HoxhaFaculty of Social and Behavioural Sciences
i.hoxha@fsw.leidenuniv.nl | 071 5272727
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Henk KeldermanFaculty of Social and Behavioural Sciences
h.kelderman@fsw.leidenuniv.nl | 071 5272727
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The learning portfolio as a tool for stimulating reflection by student teachers
The topic of this study is the portfolio that is being used in a teacher education institute as an instrument for stimulating reflection on their development as teachers by student teachers.
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Multi-functional urban Green space planning based on transdisciplinary learning (MultiGreen)
Green infrastrucuture (GI) like urban farm and green roofs could provide many beneficial functions in cities. These include for example food production, flood prevention or increasing biodiversity. MultiGreen project aims at developing an integrated modelling tool to support…
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Learning From The Past: Making Software Greener and Faster By Mining Past Performance Data
Exploring the application of data-driven AI optimizations, this work leverages past software performance to reduce the carbon footprint and energy consumption of powerful computing applications.