173 research outputs found
Inclusive Intelligent Learning Management System Framework - Application of Data Science in Inclusive Education
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceBeing a disabled student the author faced higher education with a handicap which as experience
studying during COVID 19 confinement periods matched the findings in recent research about the
importance of digital accessibility through more e-learning intensive academic experiences. Narrative
and systematic literature reviews enabled providing context in World Health Organization’s
International Classification of Functioning, Disability and Health, legal and standards framework and
information technology and communication state-of-the art. Assessing Portuguese higher education
institutions’ web sites alerted to the fact that only outlying institutions implemented near perfect,
accessibility-wise, websites.
Therefore a gap was identified in how accessible the Portuguese higher education websites are, the
needs of all students, including those with disabilities, and even the accessibility minimum legal
requirements for digital products and the services provided by public or publicly funded organizations.
Having identified a problem in society and exploring the scientific base of knowledge for context and
state of the art was a first stage in the Design Science Research methodology, to which followed
development and validation cycles of an Inclusive Intelligent Learning Management System
Framework. The framework blends various Data Science study fields contributions with accessibility
guidelines compliant interface design and content upload accessibility compliance assessment.
Validation was provided by a focus group whose inputs were considered for the version presented in
this dissertation. Not being the purpose of the research to deliver a complete implementation of the
framework and lacking consistent data to put all the modules interacting with each other, the most
relevant modules were tested with open data as proof of concept.
The rigor cycle of DSR started with the inclusion of the previous thesis on Atlântica University Institute
Scientific Repository and is to be completed with the publication of this thesis and the already started
PhD’s findings in relevant journals and conferences
Low-Cost Sensors and Biological Signals
Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization
31th International Conference on Information Modelling and Knowledge Bases
Information modelling is becoming more and more important topic for researchers, designers, and users of information systems.The amount and complexity of information itself, the number of abstractionlevels of information, and the size of databases and knowledge bases arecontinuously growing. Conceptual modelling is one of the sub-areas ofinformation modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers
Intelligent Biosignal Processing in Wearable and Implantable Sensors
This reprint provides a collection of papers illustrating the state-of-the-art of smart processing of data coming from wearable, implantable or portable sensors. Each paper presents the design, databases used, methodological background, obtained results, and their interpretation for biomedical applications. Revealing examples are brain–machine interfaces for medical rehabilitation, the evaluation of sympathetic nerve activity, a novel automated diagnostic tool based on ECG data to diagnose COVID-19, machine learning-based hypertension risk assessment by means of photoplethysmography and electrocardiography signals, Parkinsonian gait assessment using machine learning tools, thorough analysis of compressive sensing of ECG signals, development of a nanotechnology application for decoding vagus-nerve activity, detection of liver dysfunction using a wearable electronic nose system, prosthetic hand control using surface electromyography, epileptic seizure detection using a CNN, and premature ventricular contraction detection using deep metric learning. Thus, this reprint presents significant clinical applications as well as valuable new research issues, providing current illustrations of this new field of research by addressing the promises, challenges, and hurdles associated with the synergy of biosignal processing and AI through 16 different pertinent studies. Covering a wide range of research and application areas, this book is an excellent resource for researchers, physicians, academics, and PhD or master students working on (bio)signal and image processing, AI, biomaterials, biomechanics, and biotechnology with applications in medicine
Multimedia Development of English Vocabulary Learning in Primary School
In this paper, we describe a prototype of web-based intelligent handwriting education
system for autonomous learning of Bengali characters. Bengali language is used by more than
211 million people of India and Bangladesh. Due to the socio-economical limitation, all of the
population does not have the chance to go to school. This research project was aimed to develop
an intelligent Bengali handwriting education system. As an intelligent tutor, the system can
automatically check the handwriting errors, such as stroke production errors, stroke sequence
errors, stroke relationship errors and immediately provide a feedback to the students to correct
themselves. Our proposed system can be accessed from smartphone or iPhone that allows
students to do practice their Bengali handwriting at anytime and anywhere. Bengali is a
multi-stroke input characters with extremely long cursive shaped where it has stroke order
variability and stroke direction variability. Due to this structural limitation, recognition speed is
a crucial issue to apply traditional online handwriting recognition algorithm for Bengali
language learning. In this work, we have adopted hierarchical recognition approach to improve
the recognition speed that makes our system adaptable for web-based language learning. We
applied writing speed free recognition methodology together with hierarchical recognition
algorithm. It ensured the learning of all aged population, especially for children and older
national. The experimental results showed that our proposed hierarchical recognition algorithm
can provide higher accuracy than traditional multi-stroke recognition algorithm with more
writing variability
Semantic Rule-based Approach for Supporting Personalised Adaptive E-Learning
Instructional designers are under increasing pressure to enhance the pedagogical quality
and technical richness of their learning content offerings, while the task of authoring for
such complex educational frameworks is expensive and time consuming. Personalisation
and reusability of learning contents are two main factors which can be used to enhance the
pedagogical impact of e-learning experiences while also optimising resources, such as the
overall cost and time of designing materials for different e-learning systems.
However, personalisation services require continuous fine tuning for the different features
that should be used, and e-learning systems need sufficient flexibility to offer these
continuously required changes.
The semantic modelling of adaptable learning components can highly influence the personalisation
of the learning experience and enables the reusability, adaptability and maintainability
of these components. Through the discrete modelling of these components, the
flexibility and extensibility of e-learning systems will be improved as learning contents
can be separated from the adaptation logic which results in the learning content being no
longer specific to any given adaptation rule, or instructional plan.
This thesis proposes an innovative semantic rule-based approach to dynamically generate
personalised learning content utilising reusable pieces of learning content. It describes an
ontology-based engine that composes, at runtime, adapted learning experiences according
to learner’s interaction with the system and learner’s characteristics. Additionally, enriching
ontologies with semantic rules increases the reasoning power and helps to represent
adaptation decisions. This novel approach aims to improve flexibility, extensibility and
reusability of systems, while offering a pedagogically effective and satisfactory learning
experience for learners. This thesis offers the theoretical models, design and implementation
of an adaptive e-learning system in accordance with this approach. It also describes
the evaluation of developed personalised adaptive e-learning system (Rule-PAdel) from
pedagogical and technical perspectives
European Distance and E-Learning Network (EDEN). Conference Proceedings
Erasmus+ Programme of the European UnionThe powerful combination of the information age and the consequent disruption caused by these unstable environments provides the impetus to look afresh and identify new models and approaches for education (e.g. OERs, MOOCs, PLEs, Learning Analytics etc.). For learners this has taken a fantastic leap into aggregating, curating and co-curating and co-producing outside the boundaries of formal learning environments – the networked learner is sharing voluntarily and for free, spontaneously with billions of people.Supported by Erasmus+ Programme of the European Unioninfo:eu-repo/semantics/publishedVersio
ICTERI 2020: ІКТ в освіті, дослідженнях та промислових застосуваннях. Інтеграція, гармонізація та передача знань 2020: Матеріали 16-ї Міжнародної конференції. Том II: Семінари. Харків, Україна, 06-10 жовтня 2020 р.
This volume represents the proceedings of the Workshops co-located with the 16th International Conference on ICT in Education, Research, and Industrial Applications, held in Kharkiv, Ukraine, in October 2020. It comprises 101 contributed papers that were carefully peer-reviewed and selected from 233 submissions for the five workshops: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. The volume is structured in six parts, each presenting the contributions for a particular workshop. The topical scope of the volume is aligned with the thematic tracks of ICTERI 2020: (I) Advances in ICT Research; (II) Information Systems: Technology and Applications; (III) Academia/Industry ICT Cooperation; and (IV) ICT in Education.Цей збірник представляє матеріали семінарів, які були проведені в рамках 16-ї Міжнародної конференції з ІКТ в освіті, наукових дослідженнях та промислових застосуваннях, що відбулася в Харкові, Україна, у жовтні 2020 року. Він містить 101 доповідь, які були ретельно рецензовані та відібрані з 233 заявок на участь у п'яти воркшопах: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. Збірник складається з шести частин, кожна з яких представляє матеріали для певного семінару. Тематична спрямованість збірника узгоджена з тематичними напрямками ICTERI 2020: (I) Досягнення в галузі досліджень ІКТ; (II) Інформаційні системи: Технології і застосування; (ІІІ) Співпраця в галузі ІКТ між академічними і промисловими колами; і (IV) ІКТ в освіті
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