Search results for " learning."

Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series

2013

We present a framework for the estimation of transfer entropy (TE) under the conditions typical of physiological system analysis, featuring short multivariate time series and the presence of instantaneous causality (IC). The framework is based on recognizing that TE can be interpreted as the difference between two conditional entropy (CE) terms, and builds on an efficient CE estimator that compensates for the bias occurring for high dimensional conditioning vectors and follows a sequential embedding procedure whereby the conditioning vectors are formed progressively according to a criterion for CE minimization. The issue of IC is faced accounting for zero-lag interactions according to two a…

Dynamics of brain activation during learning of syllable-symbol paired associations.

2019

| openaire: EC/H2020/641652/EU//ChildBrain Initial stages of reading acquisition require the learning of letter and speech sound combinations. While the long-term effects of audio-visual learning are rather well studied, relatively little is known about the short-term learning effects at the brain level. Here we examined the cortical dynamics of short-term learning using magnetoencephalography (MEG) and electroencephalography (EEG) in two experiments that respectively addressed active and passive learning of the association between shown symbols and heard syllables. In experiment 1, learning was based on feedback provided after each trial. The learning of the audio-visual associations was c…

Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospecti…

2022

IntroductionPreeclampsia, one of the leading causes of maternal and fetal morbidity and mortality, demands accurate predictive models for the lack of effective treatment. Predictive models based on machine learning algorithms demonstrate promising potential, while there is a controversial discussion about whether machine learning methods should be recommended preferably, compared to traditional statistical models.MethodsWe employed both logistic regression and six machine learning methods as binary predictive models for a dataset containing 733 women diagnosed with preeclampsia. Participants were grouped by four different pregnancy outcomes. After the imputation of missing values, statistic…

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance

2022

Accurate sleep stage classification is vital to assess sleep quality and diagnose sleep disorders. Numerous deep learning based models have been designed for accomplishing this labor automatically. However, the class imbalance problem existing in polysomnography (PSG) datasets has been barely investigated in previous studies, which is one of the most challenging obstacles for the real-world sleep staging application. To address this issue, this paper proposes novel methods with signal-driven and image-driven ways of noise addition to balance the imbalanced relationship in the training dataset samples. We evaluate the effectiveness of the proposed methods which are integrated into a convolut…

The implementation of massive open online courses for training future engineers in higher education

2019

This paper investigates the features of the implementation, conduct, analysis and prospects for the use of massive, open online courses. The article deals with the main advantages and disadvantages of massive open online courses, presents a comparative analysis of research into implementation of massive, open online courses. The article outlines the basic course requirements. It contains an analysis of the current state of such courses in higher educational institutions. The article presents a number of recommendations for the development of the education system towards democratization of higher education

The Potentials of Tangible Technologies for Learning Linear Equations

2020

Tangible technologies provide interactive links between the physical and digital worlds, thereby merging the benefits of physical and virtual manipulatives. To explore the potentials of tangible technologies for learning linear equations, a tangible manipulative (TM) was designed and developed. A prototype of the initial TM was implemented and evaluated using mixed methods (i.e., classroom interventions, paper-based tests, thinking aloud sessions, questionnaires, and interviews) in real classroom settings. Six teachers, 24 primary school students, and 65 lower secondary school students participated in the exploratory study. The quantitative and qualitative analysis revealed that the initial…

4 – 5 gadīgo bērnu pašvadītas mācīšanās veicināšana matemātikas rotaļnodarbībās

2021

Kvalifikācijas darba temats: “4 – 5 gadīgo bērnu pašvadītas mācīšanās veicināšana matemātikas rotaļnodarbībās.” Darba autore: Kristīne Oļševska Darba vadītājs: Asoc. prof., Dr. paed., Ineta Helmane Kvalifikācijas darba mērķis: Teorētiski izzināt un praktiskā darbībā pētīt 4 – 5 gadīgo bērnu pašvadītas mācīšanās iespējas matemātikas rotaļnodarbībā un apkopot ieteikumos 4 – 5 gadīgu bērnu pašvadītas mācīšanās veicināšanai matemātikā. Kvalifikācijas darbs ietver sevī divas daļas: teorētisko un empīrisko daļu. Darba apjoms ir 52 lpp., tajā iekļauti 20 attēli, 10 tabulas, 54 literatūras avoti. Teorētiskajā daļā tika veikta zinātniskās literatūras kvantitatīvi kvalitatīva analīze par bērnu pašvad…

Angļu valoda stjuartiem: mācību grāmatu un tiešsaistes materiālu izvērtēšana

2019

Augsts angļu valodas prasmes līmenis ir viena no prasībām darbam aviācijas nozarē, kur angļu valoda ir darba valoda. Pētījumā tika izmantota gadījuma izpēte, kuras mērķis bija izvērtēt izvēlēto stjuartu angļu valodas mācību grāmatu un tiešsaistes materiālu lietderību valodas apguvei pašmācības ceļā. Pētījumā iesaistītie stjuarti vēlējās uzlabot visas valodu prasmes, kā arī uzskatīja, ka šādos materiālos ir jābūt iekļautiem ar gramatiku, leksiku un izrunu saistītiem uzdevumiem, pārbaudes darbiem, vizuāliem līdzekļiem, apgūstamo vārdu sarakstiem un dažādiem papildmateriāliem. Materiālu izvērtēšanas rezultāti norāda, ka, lai gan izvēlētajos materiālos ir iekļauti uz komunikāciju balstīti uzdev…

Teachers' beliefs about learning and language as reflected in their views of teaching materials for Content and Language Integrated Learning (CLIL)

2014

Software for the learning of mathematics through musical metaphors: The creation and evaluation process of PicaLab

2018

The PicaLab project proposes the design, development, and assessment of an integrated modular software solution involving sound and music, with the aim of improving mathematical learning in the third, fourth, and fifth levels of primary education in Chile. While these modular solutions were designed as resources for the classroom, students outside of that context can use them too. The process followed a methodology in several stages in order to generate multi-modal functional prototypes, together with their respective didactic guides, that link music and mathematics. These prototypes have been put through an iterative evaluation process leading up their final version. Results indicate an ex…