Publication Date
| In 2026 | 0 |
| Since 2025 | 148 |
| Since 2022 (last 5 years) | 950 |
| Since 2017 (last 10 years) | 2073 |
| Since 2007 (last 20 years) | 3312 |
Descriptor
Source
Author
| McNamara, Danielle S. | 35 |
| Crossley, Scott A. | 28 |
| Ellis, Nick C. | 13 |
| Danielle S. McNamara | 12 |
| Graesser, Arthur C. | 11 |
| Al-Jarf, Reima | 10 |
| Boulton, Alex | 10 |
| Hyland, Ken | 10 |
| Kyle, Kristopher | 9 |
| Cai, Zhiqiang | 8 |
| Cobb, Tom | 8 |
| More ▼ | |
Publication Type
Education Level
Location
| China | 147 |
| United Kingdom | 127 |
| Turkey | 79 |
| Spain | 67 |
| Japan | 65 |
| Taiwan | 60 |
| Australia | 54 |
| Canada | 53 |
| Thailand | 51 |
| Saudi Arabia | 47 |
| Hong Kong | 46 |
| More ▼ | |
Laws, Policies, & Programs
| National Defense Education… | 3 |
| Elementary and Secondary… | 1 |
| Elementary and Secondary… | 1 |
| Every Student Succeeds Act… | 1 |
| United Nations Convention on… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Kheovichai, Baramee – LEARN Journal: Language Education and Acquisition Research Network, 2022
This research investigated the discursive construction of COVID-19 in WHO director general's discourse through the lens of corpus linguistics and critical discourse analysis. 255 speeches of the WHO director general were collected, forming a 234,149-words corpus. Collocations of 'COVID-19' were generated and analyzed in terms of the semantic…
Descriptors: Phrase Structure, Discourse Analysis, COVID-19, Pandemics
Römer, Ute – Language Teaching, 2022
This plenary speech provides an overview of applications of corpus research in several core areas of applied linguistics, including second language acquisition and language assessment. It does this by showcasing a number of recent studies carried out by or with involvement of the author. These studies all focus on phraseological aspects of…
Descriptors: Applied Linguistics, Computational Linguistics, Second Language Learning, Language Tests
Day, Trevor K. M.; Elison, Jed T. – Journal of Child Language, 2022
A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles in speech to the extent it would be natural to surmise they are acquired differently. As measured through the comprehension and production of closed-class words, syntactic ability emerges at roughly the 400-word…
Descriptors: Syntax, Vocabulary Development, Factor Analysis, Classification
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
Almotairi, Maram; Fkih, Fethi – Journal of Education and e-Learning Research, 2022
The Question answering (QA) system plays a basic role in the acquisition of information and the e-learning environment is considered to be the field that is most in need of the question-answering system to help learners ask questions in natural language and get answers in short periods of time. The main problem in this context is how to understand…
Descriptors: Semantics, Natural Language Processing, Intelligent Tutoring Systems, Ambiguity (Semantics)
Jia, Mian – Applied Linguistics, 2022
Applied linguists and Communication scholars have mainly adopted different yet complementary approaches to research on language and health communication. Using discourse-analytic (DA) approaches such as conversation analysis and corpus analysis, applied linguists tend to focus on describing and explicating health messaging techniques in naturally…
Descriptors: Applied Linguistics, Language Usage, Discourse Analysis, Computational Linguistics
Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Semiu Salawu; Jo Lumsden; Yulan He – International Journal of Bullying Prevention, 2022
A negative consequence of the proliferation of social media is the increase in online abuse. Bullying, once restricted to the playground, has found a new home on social media. Online social networks on their part have intensified efforts to tackle online abuse, but unfortunately, such is the scale of the problem that many young people are still…
Descriptors: Computer Mediated Communication, Bullying, Computer Software, Computational Linguistics
Qihui Xu – ProQuest LLC, 2022
How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances;…
Descriptors: Language Acquisition, Speech Communication, Computational Linguistics, Syntax
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Minjin Kim; Xiaofei Lu – Modern Language Journal, 2024
The effects of learner- and task-related variables on second language (L2) writing syntactic complexity (SC) have been extensively investigated. However, previous research has rarely assessed the reliability of computational tools for analyzing the SC of L2 spoken production, and we know less about the effects of such variables on L2 speaking SC.…
Descriptors: Speech Communication, Syntax, English (Second Language), Second Language Learning
Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
Remart Padua Dumlao; Louisa Willoughby – AILA Review, 2024
This study looks at how migrants' accents are portrayed, labelled, and constructed in media discourse, investigating media coverage of migrants' accents in the Australian press from 2007 to 2017, a period highlighted by changes in Australian citizenship policies and public discourse. While language has been extensively discussed in policy…
Descriptors: Immigrants, Pronunciation, Discourse Analysis, Language Variation
Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation

Peer reviewed
Direct link
