Dong Nguyen
Datos Biográficos
| ID | 3790372 |
|---|---|
| NOMBRE | Dong Nguyen |
| NOMBRES | Dong |
| APELLIDO | Nguyen |
| FIRMA | NGUYEN D |
| AFILIACIONES | University of Glasgow |
| ORCID | 0000-0002-6062-3117 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 44 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Leadership for teacher retention
Teacher retention has been a persistent challenge globally. School leadership plays a central role in retaining teachers. Drawing on a major review of 355 research outputs, this article develops and discusses an international empirical evidence base specifically on the potential effects and leadership practices of promoting teacher professional autonomy, development, and voice in relation to teacher retention. The evidence suggests that promotion…
Collaborative Growth
Large Language Models (LLMs) have dramatically transformed the AI landscape. They can produce remarkable fluent text and exhibit a range of natural language understanding and generation capabilities. This article explores how LLMs might be used for sociolinguistic research and, conversely, how sociolinguistics can contribute to the development of LLMs. It argues that both areas of research will benefit from a thoughtful, engaging collaboration. S…
Linguistic analysis of suspected child sexual offenders’ interactions in a dark web image exchange chatroom
Child sexual offenders convene in dark web spaces to exchange indecent imagery, advice and support. In response, law enforcement agencies deploy undercover agents to pose as offenders online to gather intelligence on these offending communities. Currently, however, little is known about how offenders interact online, which raises significant questions around how undercover officers should ‘authentically’ portray the persona of a child sexual offe…
Collective teacher innovativeness in 48 countries
Implementing education system reform
A review of the empirical research on teacher leadership (2003–2017)
Purpose The purpose of this paper is to outline key findings from a contemporary review of the international empirical literature focused upon teacher leadership. It synthesises what is currently known about the nature, practice, conditions and impact of teacher leadership and to outline patterns in the contemporary empirical research base. Design/methodology/approach This review is based on an analysis of 150 empirical articles published in Scop…
Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of populations, but studies show that these tools suffer from low positive predictive values. More recently, advances in research fields such as machine learning and natural language processing appl…
A Kernel Independence Test for Geographical Language Variation
Quantifying the degree of spatial dependence for linguistic variables is a key task for analyzing dialectal variation. However, existing approaches have important drawbacks. First, they are based on parametric models of dependence, which limits their power in cases where the underlying parametric assumptions are violated. Second, they are not applicable to all types of linguistic data: Some approaches apply only to frequencies, others to boolean …
Computational Sociolinguistics
Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "computational sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics s…
Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database
This paper describes the development of the Dutch Folktale Database as a digital archive of intangible heritage and a sophisticated research instrument. Current research focuses on automating the assignment of metadata to folktales and on obtaining a better understanding of classifications of folktales into types, as well as an understanding of motif sequences. These studies are useful for future fundamental research into patterns and structures,…
Computational Sociolinguistics
Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "computational sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics s…
Collective teacher innovativeness in 48 countries
Implementing education system reform
Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database
This paper describes the development of the Dutch Folktale Database as a digital archive of intangible heritage and a sophisticated research instrument. Current research focuses on automating the assignment of metadata to folktales and on obtaining a better understanding of classifications of folktales into types, as well as an understanding of motif sequences. These studies are useful for future fundamental research into patterns and structures,…
Computational Sociolinguistics
Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "computational sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics s…
Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database
This paper describes the development of the Dutch Folktale Database as a digital archive of intangible heritage and a sophisticated research instrument. Current research focuses on automating the assignment of metadata to folktales and on obtaining a better understanding of classifications of folktales into types, as well as an understanding of motif sequences. These studies are useful for future fundamental research into patterns and structures,…
A Kernel Independence Test for Geographical Language Variation
Quantifying the degree of spatial dependence for linguistic variables is a key task for analyzing dialectal variation. However, existing approaches have important drawbacks. First, they are based on parametric models of dependence, which limits their power in cases where the underlying parametric assumptions are violated. Second, they are not applicable to all types of linguistic data: Some approaches apply only to frequencies, others to boolean …
A review of the empirical research on teacher leadership (2003–2017)
Purpose The purpose of this paper is to outline key findings from a contemporary review of the international empirical literature focused upon teacher leadership. It synthesises what is currently known about the nature, practice, conditions and impact of teacher leadership and to outline patterns in the contemporary empirical research base. Design/methodology/approach This review is based on an analysis of 150 empirical articles published in Scop…
Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of populations, but studies show that these tools suffer from low positive predictive values. More recently, advances in research fields such as machine learning and natural language processing appl…
Implementing education system reform
Linguistic analysis of suspected child sexual offenders’ interactions in a dark web image exchange chatroom
Child sexual offenders convene in dark web spaces to exchange indecent imagery, advice and support. In response, law enforcement agencies deploy undercover agents to pose as offenders online to gather intelligence on these offending communities. Currently, however, little is known about how offenders interact online, which raises significant questions around how undercover officers should ‘authentically’ portray the persona of a child sexual offe…
Collective teacher innovativeness in 48 countries
Collaborative Growth
Large Language Models (LLMs) have dramatically transformed the AI landscape. They can produce remarkable fluent text and exhibit a range of natural language understanding and generation capabilities. This article explores how LLMs might be used for sociolinguistic research and, conversely, how sociolinguistics can contribute to the development of LLMs. It argues that both areas of research will benefit from a thoughtful, engaging collaboration. S…
Leadership for teacher retention
Teacher retention has been a persistent challenge globally. School leadership plays a central role in retaining teachers. Drawing on a major review of 355 research outputs, this article develops and discusses an international empirical evidence base specifically on the potential effects and leadership practices of promoting teacher professional autonomy, development, and voice in relation to teacher retention. The evidence suggests that promotion…
Computer Science (8 obras) · Political science (5 obras) · Psychology (5 obras) · Sociology (5 obras) · Pedagogy (4 obras) · Collaborative Teaching and Inclusion (3 obras) · Linguistic Variation and Morphology (3 obras) · Teacher Education and Leadership Studies (3 obras) · Authorship Attribution and Profiling (2 obras) · Autonomy (2 obras)