Search results for "Learning"
showing 10 items of 6669 documents
Tietokoneavusteinen suomen kielen kvantiteetin harjoittelu: venäjänkielisen suomea opettelevan lapsen ja suomenkielisen luku- ja kirjoitushäiriöisen …
2013
Kaksi ensiluokkalaista lasta, oppimispulmaton venäjänkielinen suomenoppija ja suomenkielinen luku- ja kirjoitushäiriöinen lapsi, joilla kummallakin oli ongelmia vokaalikvantiteetin tunnistustaidossa, osallistuivat tietokonepohjaiseen kvantiteettipeli-interventioon. Tunnistustaito mitattiin jakson aikana seitsemän kertaa, ja kielelliset ja kognitiiviset taidot alku-, loppu- ja seurantamittauksessa. Venäjänkielisen lapsen tunnistustaito sekä kvantiteetin yleinen erottelutaito paranivat heti harjoittelun myötä. Myös kvantiteetin luku- ja oikeinkirjoitustarkkuus, foneemien ja grafeemien tuntemus ja fonologinen tietoisuus parantuivat. Lukuja kirjoitushäiriöisellä lapsella tunnistustaito parantui…
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
Are customer star ratings and sentiments aligned? A deep learning study of the customer service experience in tourism destinations
2023
AbstractThis study explores the consistency between star ratings and sentiments expressed in online reviews and how they relate to the different components of the customer experience. We combine deep learning applied to natural language processing, machine learning and artificial neural networks to identify how the positive and negative components of 20,954 online reviews posted on TripAdvisor about tourism attractions in Venice impact on their overall polarity and star ratings. Our findings showed that sentiment valence is aligned with star ratings. A cancel-out effect operates between the positive and negative sentiments linked to the service experience dimensions in mixed-neutral reviews.
The effects of heart rate variability and cardiac cycle time on learning in trace eye-blink conditioning
2017
Ärsykkeen sydämen sykkeeseen ajastamisella on huomattu olevan yhteyttä sensoriseen havainnointiin ja korkeampaan kognitiiviseen prosessointiin, kun sykevälivaihtelu (HRV)puolestaan on yhdistetty tarkkaavaisuuteen. Tässä tutkimuksessa tarkasteltiin sykevälivaihtelun sekä ärsykkeen sydämen sykkeeseen ajastamisen yhteyksiä oppimiseen. Koehenkilöt osallistuivat silmäniskuehdollistumiskokeeseen, missä ärsykkeet oli ajastettu joko sydämen sykkeen systoliseen tai diastoliseen vaiheeseen. HRV:n ja EEG:n mittaaminen aloitettiin viisi minuuttia ennen kokeen alkua ja sitä jatkettiin viisi minuuttia kokeen loppumisen jälkeen. Tutkimuksessa tarkasteltiin kuutta HRV-muuttujaa: sykevälin keskiarvo (MRR), …
Store ører: Forholdet mellem æsel og menneske i selvudforskning og træningskurser
2022
Gli asini, per le loro caratteristiche etologiche e per la loro valenza simbolica all’interno della nostra cultura, offrono la possibilità di sperimentare percorsi di conoscenza profonda di sé, di scoperta delle proprie emozioni ma anche di fiducia in se stessi e nella relazione con l’altro. In questo articolo parlerò di come e per quali ragioni siano proponibili esperienze significative di apprendimento in tutte le età della vita, a partire dalla prima infanzia. Mi soffermerò infine sull’efficacia di percorsi con gli asini nell’ambito della formazione dei formatori Donkeys, due to their ethological characteristics and their symbolic value within our culture, offer the opportunity to experi…
Er sluttbrukere forberedt på elektronisk kurve? : Sluttbrukeres erfaring med opplæring i elektronisk kurve og medikasjon
2019
Masteroppgave helse- og sosialinformatikk HSI500 - Universitetet i Agder 2019 BackgroundAs part of the digitalisation of health Norway, a newdigital system is introduced for the documentation of clinical protocolsand medication throughout the Helse Sør-ØstRHF. The system MetaVision replaces today's paper solutions and a few cases of other electronic systems on all health establishments. In that context, there are thousands of employees who needs to be trained. While large sums of money are being used on clinical-ICT in health care, there is little evidence of what works and what doesn't work when it comes to training. The purpose of the project is to look at this. The following issue is the…
PEDAGOGICAL ASSUMPTIONS OF TRANSFORMATIVE DI-GITAL MODEL FOR SOCIAL CHANGE
2019
Creating of digital models which transform learning and its outcomes, as well as the learner’s educational, developmental and educative achievements has become vital to provision of inclusion possibilities in a networked society. Researchers have produced several frameworks of using digital technologies in education, but these are generally do not appropriately incorporate socio-contextual perspectives. To explore this area and create a transformative model of teaching-learning at higher levels of education in Special pedagogy and social work an appropriate pedagogical provisions are needed to transform educational process as a system including: (a) meaningful and transforming objectives, (…
Baltic Journal of English Language, Literature and Culture, Vol.11
2021
Project-Based Learning: A Case for Situated Translation
2006
The author proposes replacing the folk theoretical ‘conduit’ view of learning that still predominates in Translator Education with a principled understanding of cognitive and learning processes for the design of learning events in Translator Education. A collaborative, project-based educational experience is presented by way of illustration. In conclusion, an argument is made for studying collaborative learning events to gain insight into the multi-facetted nature of the learning process as well as of the translation process itself.
Diagnosis and prognosis of cardiovascular diseases by means of texture analysis in magnetic resonance imaging
2017
Cardiovascular diseases constitute the leading global cause of morbidity and mortality. Magnetic resonance imaging (MRI) has become the gold standard technique for the assessment of patients with myocardial infarction. However, limitations still exist thus new alternatives are open to investigation. Texture analysis is a technique that aims to quantify the texture of the images that are not always perceptible by the human eye. It has been successfully applied in medical imaging but applications to cardiac MRI (CMR) are still scarce. Therefore, the purpose of this thesis was to apply texture analysis in conventional CMR images for the assessment of patients with myocardial infarction, as an …