Search results for "Project management"

Identity-Agency in Progress: Teachers Authoring Their Identities

2018

Teachers’ professional identities have been widely recognized as the key resource through which teachers make sense of their work. Despite this recognition, few studies have offered a longitudinal perspective on the processes involved in teachers’ identity development. In this chapter I will offer an advanced conceptualization of the ways in which teachers author their identity development processes. I use examples from two longitudinal research projects on pre-service and in-service teachers’ identity development to illustrate the teachers’ efforts to maintain and develop their professional identities, and identifies two agentic dynamics in professional identity development: renegotiation …

Deep neural attention-based model for the evaluation of italian sentences complexity

2020

In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.

The integration of content and language in students’ task answer production in the bilingual classroom

2016

The notion of content and language integration has recently become a key topic of inquiry in research on content and language integrated learning and other kinds of bilingual educational programmes. Understanding what integration is and how it happens is of fundamental importance not only for researchers interested in gauging the possibilities and limitations of bilingual programmes, but also for practitioners seeking optimal ways to support student development. This study investigates integration as it takes place in the context of collaborative writing in the classroom. Drawing on conversation analytic methodology, text production is investigated as a social and sequentially evolving phen…

‘Monitoring’ in translation

2019

Abstract We assume that visual feedback from the written trace during translation plays an important role in monitoring the emerging translation. In this study, 44 participants translated with and without visual feedback from the target text (TT). Numerous measures were used to explore the differences between the texts that were created in the two conditions and the characteristics of the task performance in the two conditions. The impact of ST-TT semantic and syntactic relationships showed that there were differences on two of three behavioural measures across conditions. In the comparison of features of the translation process, findings show that ST reading times were longer without visua…

2020

Abstract In classroom settings, laughter and smiles are resources for action that are available to both teachers and students. Recent interactional studies have documented how students use these resources to deal with trouble of various kind, but less is known about the sequential and activity contexts of teachers’ laughter-relevant practices, as well as their pedagogical functions. We use multimodal conversation analysis (CA) to investigate the interactional unfolding and pedagogical orientations of teacher smiles during instructional IRE (initiation-response-evaluation) sequences in a corpus of 37 bilingual lessons collected in schools in Finland and Spain. In analysing the focal smiles, …

The language game of lost meaning: Using literal meaning as a metalinguistic resource

2019

AbstractBy literal meaning (LM) we usually refer to a theoretical notion which is at the center of a big debate involving philosophers and linguists with various orientations. At the same time, LM is rooted in a linguistic intuition of the speaker, which we could formulate as follows: words taken in isolation have a meaning. Adopting this general take on LM, we are using a notion of LM that seems incompatible with any research program of a contextualist type; I will show, instead, that in a radically contextualist (and Wittgensteinian) perspective, this notion of LM can have legitimate circulation in particular types of language games. I will propose a recovery of the notion of LM saving th…

Recycling a genre for news automation: The production of Valtteri the Election Bot

2020

Abstract The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after presenting an overview of state-of-the-art technologies in NLG, we explain systematically how we identified and then recontextualized the determinant aspects of the genre of an online news story in the algorithm of our NLG software. In the discussion, we introduce the key results of a user test we carried out and some improvements that these re…

Professional Embodiment: Walking, Re-engagement of Desk Interactions, and Provision of Instruction during Classroom Rounds

2018

Abstract Unlike continuous whole-class (plenary) interaction, independent task work involves incipient teacher–student talk, as the teacher typically ‘makes rounds’ to engage in brief desk interactions with students. This article draws on multimodal conversation analysis to investigate how teacher movement during tasks offers resources for re-engaging in desk interactions and offering task-related guidance. The focus is on teachers’ walking trajectories and ways of positioning the body, and students’ orientation to them, in (i) (pre-)opening moments of a desk interaction, and (ii) during a subsequent instructional turn that guides students with the ongoing task. The analysis shows how the p…

Multi-class Text Complexity Evaluation via Deep Neural Networks

2019

Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…

Containers in Software Development: A Systematic Mapping Study

2019

Over the past decade, continuous software development has become a common place in the field of software engineering. Containers like Docker are a lightweight solution that developers can use to deploy and manage applications. Containers are used to build both component-based architectures and microservice architectures. Still, practitioners often view containers only as way to lower resource requirements compared to virtual machines. In this paper, we conducted a systematic mapping study to find information on what is known of how containers are used in software development. 56 primary studies were selected into this paper and they were categorized and mapped to identify the gaps in the cu…