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Marvin Lavechin; Maureen de Seyssel; Hadrien Titeux; Guillaume Wisniewski; Hervé Bredin; Alejandrina Cristia; Emmanuel Dupoux – Developmental Science, 2025
Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding…
Descriptors: Infants, Child Development, Acoustics, Native Language
Lori Bruner; Natalia I. Kucirkova – Journal of Children and Media, 2025
In this study, we examine preschool storybook apps to identify the types of characters represented in these stories and how they relate to design quality and opportunities for children to build their vocabularies -- a significant predictor of later success in learning to read. Specifically, we sought to understand (a) how storybook apps portray…
Descriptors: Childrens Literature, Computer Software, Handheld Devices, Computer Oriented Programs
Paul 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
Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Montri Tangpijaikul – LEARN Journal: Language Education and Acquisition Research Network, 2025
Despite the significant impact of the lexical approach for vocabulary learning, its classroom implementation has not been uniform. While related activities share the common Observe-Hypothesize-Experiment (OHE) elements, practitioners and researchers do not highlight how language input from the observing stage is turned into output and at what…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Brahim Ait Hammou; Abderrazak Zaafour; Bendaoud Nadif; Mohammed Zemrani – Language Teaching Research Quarterly, 2025
Research on the relationship between vocabulary knowledge and reading has largely focused on literal comprehension of informational texts. The present study, however, investigates the vocabulary-reading relationship by specifically examining critical reading skills in an argumentative text.76 EFL university students majoring in Education and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Rajati Mariappan; Kim Hua Tan; Bromeley Philip – Journal of Education and Learning (EduLearn), 2025
Incorporating technology with linguistics has created opportunities to explore the effectiveness of grammar checkers in cultivating an autonomous learning culture among English as a second language (ESL) and English as a foreign language (EFL) learner. Even though there have been numerous studies on grammar checkers to cultivate autonomous…
Descriptors: Computational Linguistics, Computer Software, Grammar, Private Schools
Jiraporn Dhanarattigannon; Tirote Thongnuan; Pong-ampai Kongcharoen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This true longitudinal study explored the lexical development of L2 university English major students in Thailand using two learner corpora. This study analyzed the natural learners' English language writing assignments from two writing courses and tracked their lexical development over a relatively long period (three years with five batches of…
Descriptors: Majors (Students), English (Second Language), Second Language Learning, Second Language Instruction
Abdullah Al Fraidan – International Journal of Distance Education Technologies, 2025
This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Reading Matrix: An International Online Journal, 2025
This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI…
Descriptors: Writing Instruction, Teaching Methods, English (Second Language), Second Language Learning