- Neural Networks and Applications
- Intelligent Tutoring Systems and Adaptive Learning
- Innovative Teaching and Learning Methods
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Online Learning and Analytics
- Multimedia Communication and Technology
- Open Education and E-Learning
- Recommender Systems and Techniques
- Online and Blended Learning
- AI-based Problem Solving and Planning
- Neural Networks and Reservoir Computing
- Fuzzy Logic and Control Systems
- Advanced Optimization Algorithms Research
- Higher Education Learning Practices
- Image and Video Quality Assessment
- Learning Styles and Cognitive Differences
- Machine Learning and Data Classification
- Machine Learning and ELM
- E-Learning and Knowledge Management
- Service-Oriented Architecture and Web Services
- Context-Aware Activity Recognition Systems
- Advanced Data Compression Techniques
- Iterative Methods for Nonlinear Equations
- Video Analysis and Summarization
Birkbeck, University of London
2013-2022
University of London
2005-2017
Universidad de Londres
2011-2017
Universidade de São Paulo
2017
University College London
2012
St George's, University of London
2011
RCVS Knowledge
2010
University of Patras
1994-2009
Brunel University of London
2000-2005
National and Kapodistrian University of Athens
1999-2003
Abstract Traditional approaches to learning have often focused upon knowledge transfer strategies that centred on textually‐based engagements with learners, and dialogic methods of interaction tutors. The use virtual worlds, text‐based, voice‐based a feeling ‘presence’ naturally is allowing for more complex social interactions designed experiences role plays, as well encouraging learner empowerment through increased interactivity. To unpick these interactive experiences, this paper considers...
Abstract The use of digital technologies is now widespread and increasing, but not always optimized for effective learning. Teachers in higher education have little time or support to work on innovation improvement their teaching, which often means they simply replicate current practice a medium. This paper makes the case learning design environment scaffold teachers' engagement with development technology‐enhanced learning, based user requirements pedagogic theory. To be able adopt, adapt,...
This article focuses on gradient-based backpropagation algorithms that use either a common adaptive learning rate for all weights or an individual each weight and apply the Goldstein/Armijo line search. The learning-rate adaptation is based descent techniques estimates of local Lipschitz constant are obtained without additional error function gradient evaluations. proposed improve training in terms both convergence characteristics, such as stable robustness to oscillations. Simulations...
Early identification of degenerative processes in the human brain is considered essential for providing proper care and treatment. This may involve detecting structural functional cerebral changes such as degree asymmetry between left right hemispheres. Changes can be detected by computational algorithms used early diagnosis dementia its stages (amnestic mild cognitive impairment (EMCI), Alzheimer’s Disease (AD)), help to monitor progress disease. In this vein, paper proposes a data...
Abstract The idea of developing educational hypermedia systems for the Web is very challenging, and demands synergy computer science instructional science. paper builds on theories from design learning styles to develop a rational guidelines adaptive web‐based that use individual differences as basis system's adaptation. Various examples are provided illustrate how manipulations with regards content adaptation presentation, navigation support, well overall degree system adaptation, guided by...
This article proposes an evaluation methodology for supporting the development of specified learning activities in virtual worlds, based upon inductive methods and augmented by four dimensional framework. The study undertaken aimed to test efficacy evaluate broader uses Second Life lifelong learners their educational choices career decisions. paper presents findings argues that worlds are reorganising how we relate design delivery learning. is opening up a transition predicated notion as...
The cloudUPDRS app is a Class I medical device, namely an active transient non-invasive instrument, certified by the Medicines and Healthcare products Regulatory Agency in UK for clinical assessment of motor symptoms Parkinson's Disease. follows closely Unified Disease Rating Scale which most commonly used protocol study PD; can be patients their carers at home or community; and, requires user to perform sequence iterated movements are recorded phone sensors. This paper discusses how system...
An empirical approach that makes use of neuro-fuzzy synergism to evaluate the students in context an intelligent tutoring system is presented. In this way, a qualitative model student generated, which able information regarding student's knowledge and cognitive abilities domain area. The has been tested on prototype physics vertical projectory motions results have very satisfactory.
Abstract Search engines are very popular tools for collecting information from distributed resources. They provide not only search facilities, but they also offer directories users to browse content divided into groups. In this paper, we've adopted an individual differences approach explore user's attitudes towards various interface features provided by existing Web directories. Among a variety of differences, cognitive style is particularly important characteristic that influences the...