Search results for "RSA"

English

2020

We propose a method that automatically describes teacher talk. The method allows us to describe and compare classroom lessons, as well as visualizing changes in teacher discourse throughout the course of a lesson. The proposed method uses a machine learning model to infer topics from school textbooks. Certain topics are related to different contents (e.g. kinematics, solar system, electricity), while others are related to different teaching functions (e.g. explanations, questions, numerical exercises). To describe teacher talk, the machine learning method measures the appearance of the inferred topics throughout each lesson. We apply the proposed method to a collection of transcripts from p…

Conceptual network of teachers' talk : Automatic analysis and quantitative measures

2020

Educational field can take advantage of the improvements of Automatic Speech Recognition (ASR), since we can apply ASR algorithms in non-ideal conditions such as real classrooms. In the context of QuIP project, we used ASR systems to translate audio from teachers’ talk into text to study conceptual networks based on what the teacher says during his/her lecture, particularly the key concepts mentioned and their temporal co-occurrence. In the present study, quantitative metrics are provided, such as centrality measures and PageRank, which can be used to analyse the conceptual networks in a broaden way. With a case-study design, two teachers’ talk are described quantitatively and qualitatively…

DigiTala research project : automatic speech recognition in assessing L2 speaking

2020

In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination. nonPeerReviewed

The many faces of overlap : non-competitive overlap in a conversation between Finnish and British speakers of English

2008

Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation

2023

Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, detection, recognition, prediction, synthetic data generation, security, etc., on the basis of image data. In spite of being efficient for these objectives, the majority of current deep learning models lack interpretability and explainability. They can discover features hidden within input data together with their mutual co-occurrence. However, they are weak at discovering and making explicit hidden causalities between the features, which could be the reason behind the parti…

The development of Early Mathematical Skills – A Theoretical Framework for a Holistic Model

2019

This article presents a theoretical framework for a holistic model of the development of early mathematical skills in early childhood education. The first aim of this study was to conduct a comprehensive international review of the literature to explore early mathematical skills categories. The literature review yielded three early mathematical skills categories, namely (1) numerical skills, (2) spatial thinking skills and (3) mathematical thinking and reasoning skills. Previous studies have shown that several mathematical skills develop gradually and simultaneously in early ages and that these skills areas are interconnected in mathematical skills learning. Accordingly, the second aim of t…

The state-of-the-art of collaborative technologies for initial vocational education : a systematic literature review

2018


 
 
 Future workplaces require collaboration skills in which members of different work communities use technologies to solve complex problems. Vocational education and training (VET) programs need to meet the challenge to prepare students to be part of a competent workforce. Particularly initial vocational education is under pressure to develop learners’ collaboration skills and abilities. To date, however, no attempt has been made to perform a comprehensive review of the use of computer-supported collaborative learning (CSCL) technologies across different vocational education settings to account for contextual factors of VET. In this systematic review, 26 published studies …

¿Me voy o me quedo? Factores que influyen en la decisión de abandonar el lugar de nacimiento.

2014

Múltiples factores influyen en la decisión de dispersarse y en cuándo iniciar la dispersión, y su estudio proporciona evidencias de las causas y los determinantes de la dispersión. Los animales abandonan el lugar de nacimiento para dar solución a tres problemas fundamentales: pérdida de calidad del hábitat, competencia por los recursos, y riesgo de consanguinidad. La dispersión, sin embargo, no se lleva a cabo hasta que los individuos alcanzan una condición física adecuada, que permita alcanzar con éxito un nuevo lugar de asentamiento.

Highly occupied gauge theories in 2 + 1 dimensions : a self-similar attractor

2019

Motivated by the boost-invariant Glasma state in the initial stages in heavy-ion collisions, we perform classical-statistical simulations of SU(2) gauge theory in 2+1 dimensional space-time both with and without a scalar field in the adjoint representation. We show that irrespective of the details of the initial condition, the far-from-equilibrium evolution of these highly occupied systems approaches a unique universal attractor at high momenta that is the same for the gauge and scalar sectors. We extract the scaling exponents and the form of the distribution function close to this non-thermal fixed point. We find that the dynamics are governed by an energy cascade to higher momenta with sc…

Encuentro de saberes: Huellas de memoria pluriversa y descolonización de la Universidad contemporánea

2018

This paper studies the Encounter of Knowledge as a project that, by welcoming mestres and mestras of ancestral knowledge into universities, contributes to decolonize higher education, broadening its field of memory. Based on a systematization exercise, we established a theoretical dialogue with Bajtin and Bejamin. Based on the participation of four mestres -Lucely Pío, raicera del Cerrado, Mãe Lu and Tata Mutá Imé, religious leaders of Candomblé and the political leader and shaman Álvaro Tukano of the Tukano nation- we show how the project promotes in the contemporary Brazilian university a space of mnemic pluriversity, capable of activating diverse narrative planes (biographical, political…