Publication Date
| In 2025 | 6 |
Descriptor
Source
| Cognitive Science | 1 |
| Education and Information… | 1 |
| International Journal of… | 1 |
| Journal of Educational… | 1 |
| Language Learning | 1 |
| Vocabulary Learning and… | 1 |
Author
| Amy Bidgood | 1 |
| Andrew Jessop | 1 |
| Bob McMurray | 1 |
| Caroline F. Rowland | 1 |
| Daniel M. Bolt | 1 |
| Gary Jones | 1 |
| Hanyu Zhang | 1 |
| Imma Miralpeix | 1 |
| Julian M. Pine | 1 |
| Kun Wang | 1 |
| Michelle S. Peter | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Descriptive | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Education | 1 |
| Grade 5 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Location
| China (Beijing) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
Qi Huang; Daniel M. Bolt; Xiangyi Liao – Journal of Educational Measurement, 2025
Item response theory (IRT) encompasses a broader class of measurement models than is commonly appreciated by practitioners in educational measurement. For measures of vocabulary and its development, we show how psychological theory might in certain instances support unipolar IRT modeling as a superior alternative to the more traditional bipolar…
Descriptors: Educational Theories, Item Response Theory, Vocabulary Development, Models
Tao Xie; Hanyu Zhang; Yunong Yang – Education and Information Technologies, 2025
A significant body of research has focused on the impact of immersive virtual reality (IVR) on vocabulary retention, but little is known about how to integrate language learning theories in IVR-mediated vocabulary learning. This study aims to examine the effect of IVR that integrate input processing model on vocabulary retention for elementary…
Descriptors: Computer Simulation, Linguistic Input, Models, Second Language Learning
Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
Download full textPaul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
