Search results for " LEARNING"

"You've got the color, but you dont't have the shades" : primary education CLIL teachers' identity negotiation within the Finnish context

2018

This dissertation explores how professional identity is experienced by teachers in Content and Language Integrated Learning (CLIL) instruction. In particular, it addresses professional identity in relation to two immediate contexts of teacher activity, i.e. that of the classroom and that of the collegial community. In addition to exploring how these two sides of the professional self give rise to a broader understanding of professional identity, this dissertation also explores aspects of professional agency and the negotiation of emotions in their work. The dissertation is founded on fourteen interviews with Finnish kindergarten and primary education teachers doing CLIL. The data were thema…

Towards Automated Classification of Firmware Images and Identification of Embedded Devices

2017

Part 4: Operating System and Firmware Security; International audience; Embedded systems, as opposed to traditional computers, bring an incredible diversity. The number of devices manufactured is constantly increasing and each has a dedicated software, commonly known as firmware. Full firmware images are often delivered as multiple releases, correcting bugs and vulnerabilities, or adding new features. Unfortunately, there is no centralized or standardized firmware distribution mechanism. It is therefore difficult to track which vendor or device a firmware package belongs to, or to identify which firmware version is used in deployed embedded devices. At the same time, discovering devices tha…

Parasite avoidance behaviours in aquatic environments

2018

Parasites, including macroparasites, protists, fungi, bacteria and viruses, can impose a heavy burden upon host animals. However, hosts are not without defences. One aspect of host defence, behavioural avoidance, has been studied in the terrestrial realm for over 50 years, but was first reported from the aquatic environment approximately 20 years ago. Evidence has mounted on the importance of parasite avoidance behaviours and it is increasingly apparent that there are core similarities in the function and benefit of this defence mechanism between terrestrial and aquatic systems. However, there are also stark differences driven by the unique biotic and abiotic characteristics of terrestrial …

Dealing with a small amount of data : developing Finnish sentiment analysis

2022

Sentiment analysis has been more and more prominently visible among all natural language processing tasks. Sentiment analysis entails information extraction of opinions, emotions, and sentiments. In this paper, we aim to develop and test language models for low-resource language Finnish. We use the term “low-resource” to describe a language lacking in available resources for language modeling, especially annotated data. We investigate four models: the state-of-the-art FinBERT [1], and competitive alternative BERT models Finnish ConvBERT [2], Finnish Electra [3], and Finnish RoBERTa [4]. Having a comparative framework of multiple BERT variations is connected to our use of additional methods …

Study in children with reading disabilities and familial risk for dyslexia and Russian second-language

2013

Work-related language learning trajectories of migrant cleaners in Finland

2017

Cleaning is often the survival employment that migrants can get in their new home country. Ideally, the workplace can be a site for integration and language learning. This article explores how two migrants working as cleaners in Finland narrate their work-related Finnish language learning trajectories. The research is designed by applying nexus analysis (Scollon & Scollon, 2004), which focuses on social action in the intersection of interaction order, participants’ life experiences, and discourses in place. The social action in focus here is investment (Darvin & Norton, 2015), which means a commitment to developing language skills to achieve one’s aspirations. The article also analy…

Surrogate Modelling for Oxygen Uptake Prediction Using LSTM Neural Network

2023

Oxygen uptake (V˙O2) is an important metric in any exercise test including walking and running. It can be measured using portable spirometers or metabolic analyzers. Those devices are, however, not suitable for constant use by consumers due to their costs, difficulty of operation and their intervening in the physical integrity of their users. Therefore, it is important to develop approaches for the indirect estimation of V˙O2-based measurements of motion parameters, heart rate data and application-specific measurements from consumer-grade sensors. Typically, these approaches are based on linear regression models or neural networks. This study investigates how motion data contribute to V˙O2 …

Rozpoznawanie indywidualnych potrzeb edukacyjnych i wspieranie rozwoju uczniów w wieku wczesnoszkolnym z trudnościami w uczeniu się matematyki

2018

Automatic surrogate modelling technique selection based on features of optimization problems

2019

A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…

Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction

2015

Gaussian Process Regression (GPR) for machine learning has lately been successfully introduced for chlorophyll content mapping from remotely sensed data. The method provides a fast, stable and accurate prediction of biophysical parameters. However, since GPR is a non-linear kernel regression method, the relevance of the features are not accessible. In this paper, we introduce a probabilistic approach for feature sensitivity analysis (SA) of the GPR in order to reveal the relative importance of the features (bands) being used in the regression process. We evaluated the SA on GPR ocean chlorophyll content prediction. The method revealed the importance of the spectral bands, thus allowing the …