scholarly journals Should We Use It in Our Classrooms: An Analysis of Data-Driven Learning Research

2021 ◽  
Vol 10 (3) ◽  
pp. 66
Author(s):  
Kai Bao
Keyword(s):  
Language Proficiency ◽  
Corpus Linguistics ◽  
Applied Linguistics ◽  
Target Language ◽  
Data Driven ◽  
Relevant Research ◽  
Factors Affecting ◽  
The Past ◽  
Literature Reviews ◽  
Learning Research

Corpus linguistics has become increasingly important to both language researchers and teachers over the past three decades. As a popular practice of corpus linguistics, Data-Driven Learning (DDL) sees a rapidly growing body of research as well as instruction in the field. There is, however, a lack of comprehensive literature reviews that summarize the effectiveness, learners’ perception, as well as factors affecting the success of DDL to guide its practices. In response, this study analyzes previous DDL research to show the feasibility of the activities in EFL classrooms. For the purpose, we collected and analyzed relevant research articles from 19 journals in the discipline of applied linguistics. Our analysis revealed that while DDL has been proved generally effective in improving learners’ target language proficiency with respect to a variety of linguistic aspects, a set of its drawbacks have been elicited from the learners. The results indicate the instructors’ need to take into account the learner as well as technique background before the introduction of DDL into their classrooms.

scholarly journals Corpus linguistics and its aplications in higher education

2010 ◽  
pp. 51 ◽  
Author(s):  
Miguel Fuster Márquez ◽  
Begoña Clavel Arroitia
Keyword(s):  
Higher Education ◽  
Corpus Linguistics ◽  
Teaching Practices ◽  
Language Teaching ◽  
Applied Linguistics ◽  
Data Driven ◽  
Future Success ◽  
Different Types ◽  
Theoretical Linguistics ◽  
Relevant Factors

The aim of this paper is to review and analyse relevant factors related to the implementation of corpus linguistics (CL) in higher education. First we set out to describe underlying principles of CL and its developments in relation to theoretical linguistics and its applications in modern teaching practices. Then we attempt to establish how different types of corpora have contributed to the development of direct and indirect approaches in language teaching. We single out Data Driven Learning (DDL) due to its relevance in applied linguistics literature, and examine in detail advantages and drawbacks. Finally, we outline problems concerning the implementation of CL in the classroom since awareness of the limitations of CL is vital for its future success.

scholarly journals A Data-Driven Critical Review of Second Language Acquisition in the Past 30 Years

Publications ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 33
Author(s):  
Meng-Lin Chen
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Data Driven ◽  
Quality Data ◽  
Future Research ◽  
Knowledge Domain ◽  
The Past ◽  
Research Areas ◽  
Literature Reviews

This study aims to provide a comprehensive and data-driven review of the knowledge domain of second language acquisition (SLA) and pedagogy in the past 30 years. Using knowledge domain visualization techniques, the study first provides a review of SLA at the disciplinary level. It then identifies the major research areas and current research frontiers in the SLA research landscape based on high-quality data retrieved from Web of Science (WoS) databases. The study provides useful references for future research and pedagogy in the field in which literature reviews employing scientometric methodology and driven by data, such as the present one, are rare, and thus, are much in need of supplement views produced by traditional literature reviews.

CORPUS LINGUISTICS, LANGUAGE CORPORA AND LANGUAGE TEACHING

2020 ◽  
Vol 14 (2) ◽  
pp. 75
Author(s):  
Eska Perdana Prasetya ◽  
Anita Dewi Ekawati ◽  
Deni Sapta Nugraha ◽  
Ahmad Marzuq ◽  
Tiara Saputri Darlis
Keyword(s):  
Academic Writing ◽  
Corpus Linguistics ◽  
Language Use ◽  
Language Teaching ◽  
Applied Linguistics

<span lang="EN-GB">This research is about Corpus Linguistics, Language Corpora, And Language Teaching. As we know about this science is relatively new and is associated with technology. There are several areas discussed in this study such as several important parts of the corpus, the information generated in the corpus, four main characteristics of the corpus, Types of Corpora, Corpora in Language Teaching, several types that could be related to corpus research, Applications of corpus linguistics to language teaching may be direct or indirect. The field of applied linguistics analyses large collections of written and spoken texts, which have been carefully designed to represent specific domains of language use, such as informal speech or academic writing.</span>

Parent–Child Construction of Personal Memories in Reminiscing Conversations: Implications for the Development and Treatment of Childhood Psychopathology

2018 ◽  
Author(s):  
Karen Salmon
Keyword(s):  
Autobiographical Memory ◽  
Conduct Problems ◽  
Childhood Psychopathology ◽  
Relevant Research ◽  
The Past ◽  
Parents And Children ◽  
Emotion Competence ◽  
Critical Skills ◽  
Clinical Populations ◽  
Parent Child

Strong theory and research implicates parent–child conversations about the past in the child’s development of critical skills, including autobiographical memory and understanding of emotion and minds. Yet very little research has focused on associations between reminiscing and the development of childhood psychopathology. This chapter considers what is known about reminiscing between parents and children where there is anxiety or conduct problems. These findings provide clues as to how children come to manifest difficulties in autobiographical memory and emotion competence. Thereafter, the text reviews studies that have attempted to alter the style and content of parent–child reminiscing in clinical populations. The full implications of parent–child reminiscing, as a rich context for children’s development, have yet to be realized in clinically relevant research.

Distribution and translation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tong King Lee
Keyword(s):  
Applied Linguistics ◽  
Translation Studies ◽  
Second Order ◽  
Media Ecology ◽  
Target Language ◽  
Language And Culture ◽  
First Order ◽  
Language System ◽  
Object Of Study ◽  
Distributed Language

Abstract Translation has traditionally been viewed as a branch of applied linguistics. This has changed drastically in recent decades, which have witnessed translation studies growing as a field beyond, and sometimes against, applied linguistics. This paper is an attempt to think translation back into applied linguistics by reconceptualizing translation through the notions of distributed language, semiotic repertoire, and assemblage. It argues that: (a) embedded within a larger textual-media ecology, translation is enacted through dialogical interaction among the persons, texts, technologies, platforms, institutions, and traditions operating within that ecology; (b) what we call translations are second-order constructs, or relatively stable formations of signs abstracted from the processual flux of translating on the first-order; (c) translation is not just about moving a work from one discrete language system across to another, but about distributing it through semiotic repertoires; (d) by orchestrating resources performatively, translations are not just interventions in the target language and culture, but are transformative of the entire translingual and multimodal space (discursive, interpretive, material) surrounding a work. The paper argues that distributed thinking helps us de-fetishize translation as an object of study and reimagine translators as partaking of a creative network of production alongside other human and non-human agents.

scholarly journals Data-driven control of complex networks

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Giacomo Baggio ◽  
Danielle S. Bassett ◽  
Fabio Pasqualetti
Keyword(s):  
Complex Networks ◽  
Network Dynamics ◽  
Noisy Data ◽  
Data Driven ◽  
Control Algorithms ◽  
Optimal Controls ◽  
Network Systems ◽  
The Past ◽  
Efficient Control ◽  
Finite Set

AbstractOur ability to manipulate the behavior of complex networks depends on the design of efficient control algorithms and, critically, on the availability of an accurate and tractable model of the network dynamics. While the design of control algorithms for network systems has seen notable advances in the past few years, knowledge of the network dynamics is a ubiquitous assumption that is difficult to satisfy in practice. In this paper we overcome this limitation, and develop a data-driven framework to control a complex network optimally and without any knowledge of the network dynamics. Our optimal controls are constructed using a finite set of data, where the unknown network is stimulated with arbitrary and possibly random inputs. Although our controls are provably correct for networks with linear dynamics, we also characterize their performance against noisy data and in the presence of nonlinear dynamics, as they arise in power grid and brain networks.

Think Tanks in East Asia in Need of More Cooperation and More Networking: NEAT after its Ten Years

2012 ◽  
Vol 04 (03) ◽  
pp. 91-96
Author(s):  
John WONG
Keyword(s):  
East Asia ◽  
Working Group ◽  
Regional Cooperation ◽  
Process Research ◽  
Think Tanks ◽  
Relevant Research ◽  
The Past ◽  
Research Institutes ◽  
Working Groups ◽  
Important Progress

NEAT is a loosely constituted regional scheme under the ASEAN plus Three (APT) framework. Its main objectives are to promote exchange among APT scholars and research institutes in the region, and to promote relevant research that can facilitate the APT regional cooperation process. Research is done through organising Working Groups. NEAT has made important progress in the past 10 years. To grow and expand in future, it will have to improve on its networking function and strengthen its Working Group mechanism.

Data-driven modeling decadal-to-centennial ENSO variability and its response to external forcing

2021 ◽  
Author(s):  
Aleksei Seleznev ◽  
Dmitry Mukhin ◽  
Andrey Gavrilov ◽  
Alexander Feigin
Keyword(s):  
Co2 Concentration ◽  
Data Driven ◽  
Time Interval ◽  
Solar Forcing ◽  
Russian Science ◽  
Dynamical Mechanism ◽  
Enso Variability ◽  
The Past ◽  
Sst Variability ◽  
Data Driven Modeling

&lt;p&gt;We investigate the decadal-to-centennial ENSO variability based on nonlinear data-driven stochastic modeling. We construct data-driven model of yearly Ni&amp;#241;o-3.4 indices reconstructed from paleoclimate proxies based on three different sea-surface temperature (SST) databases at the time interval from 1150 to 1995 [1]. The data-driven model is forced by the solar activity and CO2 concentration signals. We find the persistent antiphasing relationship between the solar forcing and Ni&amp;#241;o-3.4 SST on the bicentennial time scale. The dynamical mechanism of such a response is discussed.&lt;/p&gt;&lt;p&gt;The work was supported by the Russian Science Foundation (Grant No. 20-62-46056)&lt;/p&gt;&lt;p&gt;1. Emile-Geay, J., Cobb, K. M., Mann, M. E., &amp; Wittenberg, A. T. (2013). Estimating Central Equatorial Pacific SST Variability over the Past Millennium. Part II: Reconstructions and Implications, Journal of Climate, 26(7), 2329-2352.&lt;/p&gt;

Information theory as a means of determining the main factors affecting the processors architecture

2021 ◽  
pp. 104-115
Author(s):  
Антон Андреевич Ракитский ◽  
Борис Яковлевич Рябко
Keyword(s):  
Information Theory ◽  
Development Process ◽  
Factors Affecting ◽  
The Past ◽  
Main Factors ◽  
Further Development

В работе исследуется процесс разработки компьютеров за последние десятилетия с целью определения наиболее влияющих на него факторов. Описываются сами факторы, которые используются для предсказания направления будущих разработок. Для решения этой задачи применяется концепция Вычислительной Способности, которая позволяет оценить производительность компьютеров теоретически, опираясь исключительно на описание их архитектуры. In this article we are investigating the computers development process in the past decades in order to identify the factors that influence it the most. We describe such factors and use them to predict the direction of further development. To solve these problems, we use the concept of the Computer Capacity, which allows us to estimate the performance of computers theoretically, relying only on the description of its architecture.

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