Search results for "learning."
showing 10 items of 6527 documents
Koulun kahlitsemat - arjen selviytyjät : näkökulmia kielen oppimiseen
2003
This article discusses written narratives about foreign language learning. The stories were collected in a contest organised by KVS Foundation (Kansanvalistusseura), a Finnish organisation for adult education. Over 500 texts were sent for the contest, representing writers of both sexes, various language backgrounds and many professions. The age of writers varied from 8 to 80. In this article we discuss the nature of the data and the creation of a data base. Some preliminary observations are reported and a case study discussed. The relation between the academic and everyday views of language learning is also dealt with. peerReviewed
“Stories from No-Man’s Land?” Situated language learning through the use of role models in the context of international Higher Education
2012
This article discusses the value of role models in the language acquisition process of international students following an English as Medium of Instruction (EMI) programme in the Netherlands. Narrative interpretations of qualitative data provide insights into the identity work involved in the use of role models and the impact that this work has on the participation of learners in the ir core learning community and other communities. The article compares the use of role models in the cases of three students. These learning experiences were recorded through Language Learning Histories (Murphey, Chen & Chen: 2004), semi -structured interviews and journal entries. Analysis is grounded in the th…
Content Domain and Language Competence in Computer-mediated Conversation for Learning
2012
This study addresses the issue of interactional dominance in Teletandem conversations, in which two speakers communicate via video calls and chat and alternatively use their L2, the latter being the native language of the interlocutor. In particular, the research focuses on the impact of language competence (native/non-native) and content expertise (minus/plus familiarity with the topic at hand) on the role assumed by each interlocutor in structuring conversation. The data consists of 3 hours of computer-mediated recorded and transcribed conversations during 3 meetings: meeting 1 comprises free discussion for mutual introduction; meeting 2 is a discussion in English of a topic chosen by the…
Informācijas komunikācijas tehnoloģiju izmantošanas iespējas dabaszinību stundās sākumskolā
2020
Bakalaura darba “Informāciju komunikāciju tehnoloģiju izmantošanas iespējas dabaszinību stundās sākumskolā” mērķis ir izpētīt informācijas komunikācijas tehnoloģiju izmantošanu dabaszinību stundā sākumskolā, kā zināšanu pilnveidošanas materiālu. Bakalaura darba galvenie uzdevumi ir analizēt pedagoģisko un psiholoģisko literatūru, noteikt informācijas komunikācijas tehnoloģiju izmantošanas iespējas reālā pedagoģiskā procesā dabaszinībās, noskaidrot skolēnu prasmes informāciju komunikāciju tehnoloģiju lietošanā un noskaidrot vecāku viedokli par skolēnu gatavību un iespējām izmantot informācijas komunikācijas tehnoloģijas. Informācijas komunikācijas tehnoloģijas mācību procesā ir neatņemama da…
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
A Navigation and Augmented Reality System for Visually Impaired People
2021
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localizati…
Miejsce międzypokoleniiowego uczenia się w procesie hominizacji
2015
Artykuł przedstawia wyniki pilotażowych badań eksploracyjnych, których celem było rozpoznanie różnic występujących pomiędzy udziałem trzech kultur w procesach uczenia się w obszarach hominizacji człowieka dorosłego. W związku z czym przedmiotem badań jest międzypokoleniowe uczenie się rozpatrywane w kontekście poszczególnych wymiarów egzystencji. Badania zostały przeprowadzone w województwie opolskim, próba badawcza liczyła 50 respondentów. Posłużono się ilościową strategią badań, stosując autorskie narzędzie pomiaru. Omawiane badania są przykładem połączenia wiedzy z zakresu antropologii, pedagogiki i psychologii do badania procesów wspierających rozwój człowieka na gruncie andragogiki. Za…
Benefits and drawbacks of communication visibility : from vicarious learning and supplemental work to knowledge reuse and overload
2022
Purpose This study aims to examine some of the benefits and drawbacks of communication visibility. Specifically, building on communication visibility theory, the authors study how and why message transparency and network translucence may increase knowledge reuse and perceived overload through behavioral responses of vicarious learning and technology-assisted supplemental work. Design/methodology/approach Drawing on survey data obtained from 1,127 employees of a global company operating in the industrial machinery sector, the authors used structural equation modeling to test the hypothesized model. Findings The results demonstrate that the two aspects of communication visibility yield somew…
Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means
2022
Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such networks are known to be highly tuned to the training data (samples representing a particular problem), and they are poorly reusable to address new problems. One way to change this would be, in addition to trainable weights, to apply trainable parameters of the mathematical functions, which simulate various neural computations within such networks. In this way, we may distinguish between the narrowly focused task-specific parameters (weights) and more generic capability-spec…
Unsupervised representation learning of spontaneous MEG data with nonlinear ICA
2023
Funding Information: We wish to thank the reviewers and editors for the useful comments to improve the paper a lot. We thank Dr. Hiroshi Morioka for the useful discussion at the beginning of the project. L.P. was funded in part by the European Research Council (No. 678578 ). A.H. was supported by a Fellowship from CIFAR, and the Academy of Finland. The authors acknowledge the computational resources provided by the Aalto Science-IT project, and also wish to thank the Finnish Grid and Cloud Infrastructure (FGCI) for supporting this project with computational and data storage resources. | openaire: EC/H2020/678578/EU//HRMEG Resting-state magnetoencephalography (MEG) data show complex but stru…