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- Computer Science Education (2)
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- Digital Accessibility (1)
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- Poincaré embeddings (1)
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- Self-esteem (1)
- Task demand transitions (1)
Articles 1 - 7 of 7
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Competencies For Educators In Delivering Digital Accessibility In Higher Education, John Gilligan
Competencies For Educators In Delivering Digital Accessibility In Higher Education, John Gilligan
Conference Papers
The aim of this paper is to critically review the capabilities of the European Framework for the Digital Competence of Educators (DigCompEdu) and the UNESCO ICT Competency Framework for in delivering greater accessibility for students with disabilities in a Higher Education landscape undergoing Digital Transformation. These frameworks describe what it means for educators to be digitally competent. However are there other competencies required to deliver Digital Accessibility in education. The particular focus of this paper is the role of the teachers in delivering Digital Accessibility in higher education. What should be expected of them and what are the required competencies …
An International Pilot Study Of K-12 Teachers’Computer Science Self-Esteem, Rebecca Vivian, Katrina Falkner, Leonard Busuttil, Keith Quille, Sue Sentance, Elizabeth Cole, Francesco Maiorana, Monica M. Mcgil, Sarah Barksdale, Christine Liebe
An International Pilot Study Of K-12 Teachers’Computer Science Self-Esteem, Rebecca Vivian, Katrina Falkner, Leonard Busuttil, Keith Quille, Sue Sentance, Elizabeth Cole, Francesco Maiorana, Monica M. Mcgil, Sarah Barksdale, Christine Liebe
Conference Papers
Computer Science (CS) is a new subject area for many K-12 teachersaround the world, requiring new disciplinary knowledge and skills.Teacher social-behavioral factors (e.g. self-esteem) have been foundto impact learning and teaching, and a key part of CS curriculumimplementation will need to ensure teachers feel confident to de-liver CS. However, studies about CS teacher self-esteem are lacking.This paper presents an analysis of publicly available data (n=219)from a pilot study using a Teacher CS Self-Esteem scale. Analy-sis revealed significant differences, including 1) females reportedsignificantly lower CS self-esteem than males, 2) primary teachersreported lower levels of CS self-esteem than secondary teachers, 3)those with …
A Collaborative Online Micro: Bit K-12 Teacher Pd Workshop, Roisin Faherty, Karen Nolan, Keith Quille
A Collaborative Online Micro: Bit K-12 Teacher Pd Workshop, Roisin Faherty, Karen Nolan, Keith Quille
Conference Papers
This poster describes the use of online technology to deliver K12 teacher professional development (PD) during the COVID-19 pandemic in Ireland. Traditionally these sessions are delivered in person, with a focus on hand-on activities, but the sudden changes faced by the closures in Ireland required an alternative approach for delivering these sessions. The PD session presented in this poster was a more technically challenging micro:bit workshop, which was delivered online using the micro:bit classroom. This is typically used as an in-class, one to many instructor tool, and trialing this as a PD collaborative tool, was a novel approach. This poster …
Gmdh-Based Models For Mid-Term Forecast Of Cryptocurrencies (On Example Of Waves), Pavel Mogilev, Anna Boldyreva, Mikhail Alexandrov, John Cardiff
Gmdh-Based Models For Mid-Term Forecast Of Cryptocurrencies (On Example Of Waves), Pavel Mogilev, Anna Boldyreva, Mikhail Alexandrov, John Cardiff
Conference Papers
Cryptocurrencies became one of the main trends in modern economy. However by the moment the forecast of cryptocurrencies values is an open problem, which is almost non-reflected in publications related to finance market. Reasons consist in its novelty, large volatility and its strong dependence on subjective factors. In this experimental research we show possibilities of GMDH-technology to give weekly and monthly forecast for values of cryptocurrency 'Waves' (waves/euro rate). The source information is week data covering the period 2017-2019. We tests 4 algorithms from the GMDH Shell platform on the whole period and on the crisis period 4-th quarter 2017 …
Poincaré Embeddings In The Task Of Named Entity Recognition, David Muñoz, Fernando Pérez Téllez, David Pinto
Poincaré Embeddings In The Task Of Named Entity Recognition, David Muñoz, Fernando Pérez Téllez, David Pinto
Conference Papers
Hyperbolic embeddings have become important in many natural language processing tasks due to their great ability to capture latent hierarchical data and to encode valuable syntactic and semantic information. We study and consider the ability of Poincaré embeddings to get the most similar nodes to a given node when trying to recognize named entities in a set of text documents. In this paper, we propose a classifier model for the NER (Named Entity Recognition) task by implementing Poincaré embeddings and by using the most frequent n-grams and their Part-of-Speech (POS) structures from the training dataset. We found that POS structures …
Task Demand Transition Peak Point Effects On Mental Workload Measures Divergence, Enrique Muñoz-De-Escalona, José Juan Cañas, Maria Chiara Leva, Luca Longo
Task Demand Transition Peak Point Effects On Mental Workload Measures Divergence, Enrique Muñoz-De-Escalona, José Juan Cañas, Maria Chiara Leva, Luca Longo
Conference Papers
The capacity to assess and manage mental workload is becoming more and more relevant in the current work environments as it helps to prevent work related accidents and achieve better efficiency and productivity. Mental workload is often measured indirectly by inferring its effects on performance, mental states, and psychophysiological indexes. Since these three main axes should reflect changes in task demands, convergence between measures is expected, however research has found that this convergence is not to be taken for granted as it is not often present. This study aims to explore how the task demand transition peak point may affect …
Calibration For A Hybrid Mimo Near-Field Imaging System To Mitigate Antennas Effects, Ha Hoang, Zeeshan Ahmed, Matthias John, Patrick Mcevoy, Max Ammann
Calibration For A Hybrid Mimo Near-Field Imaging System To Mitigate Antennas Effects, Ha Hoang, Zeeshan Ahmed, Matthias John, Patrick Mcevoy, Max Ammann
Conference Papers
A calibration method for a high-resolution hybrid MIMO turntable radar imaging system is presented. A line of small metal balls is used in the calibration process to measure the position shift caused by undesired effects of the antennas. The unwanted effects in the near-field antenna response are analysed and significantly mitigated based on the referential features of the MIMO configuration.