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Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
Lany, Jill; Shoaib, Amber; Thompson, Abbie; Estes, Katharine Graf – Journal of Child Language, 2018
Infants are adept at learning statistical regularities in artificial language materials, suggesting that the ability to learn statistical structure may support language development. Indeed, infants who perform better on statistical learning tasks tend to be more advanced in parental reports of infants' language skills. Work with adults suggests…
Descriptors: Infants, Language Processing, Syllables, Language Acquisition
Adams, Eryn J.; Nguyen, Anh T.; Cowan, Nelson – Language, Speech, and Hearing Services in Schools, 2018
Purpose: The purpose of this article is to review and discuss theories of working memory with special attention to their relevance to language processing. Method: We begin with an overview of the concept of working memory itself and review some of the major theories. Then, we show how theories of working memory can be organized according to their…
Descriptors: Short Term Memory, Attention, Language Processing, Language Research
Wu, Fuyun; Kaiser, Elsi; Vasishth, Shravan – Cognitive Science, 2018
We used Chinese prenominal relative clauses (RCs) to test the predictions of two competing accounts of sentence comprehension difficulty: the experience-based account of Levy, 2008) and the Dependency Locality Theory (DLT; Gibson, 2000). Given that in Chinese RCs, a classifier and/or a passive marker BEI can be added to the sentence-initial…
Descriptors: Cues, Language Processing, Chinese, Comprehension
Kamide, Yuki; Kukona, Anuenue – Cognitive Science, 2018
We investigated the influence of globally ungrammatical local syntactic constraints on sentence comprehension, as well as the corresponding activation of global and local representations. In Experiment 1, participants viewed visual scenes with objects like a carousel and motorbike while hearing sentences with noun phrase (NP) or verb phrase (VP)…
Descriptors: Grammar, Syntax, Sentences, Listening Comprehension
Jeremy Cole – ProQuest LLC, 2018
This dissertation sheds light on some of the representations used in human language production. Language production consists of several distinct stages; in particular, we focus on the stages of lexical retrieval and grammatical encoding. Lexical retrieval involves retrieving the words required to express the intended meaning; grammatical encoding…
Descriptors: Grammar, Computational Linguistics, Language Processing, Short Term Memory
Boyoung Kim; Grant Goodall – Second Language Research, 2024
Recent approaches to the "that"-trace phenomenon in English include syntactic analyses based on the principle of Anti-locality and a sentence production analysis based on the Principle of End Weight. These analyses have many similarities, but they differ in their predictions for second language (L2) speakers. In an Anti-locality…
Descriptors: Syntax, Second Language Learning, Second Language Instruction, English (Second Language)
Yueqingzhou Ma; Norbert Vanek – Journal of Psycholinguistic Research, 2024
Research on first language (L1) attrition typically focuses on immigrant populations in their second language (L2) environment, yet we know comparably little about L1 attrition in the L1 setting. This study used two lexical tasks to test L1 attrition, a time-sensitive word decision task and a video retelling. Chinese teachers of English vs.…
Descriptors: Native Language, Language Skill Attrition, Chinese, Second Language Learning
Okan Yeti?sensoy; Hidir Karaduman – Education and Information Technologies, 2024
The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…
Descriptors: Artificial Intelligence, Grade 6, Social Studies, Middle School Students
Asli Aktan-Erciyes; Ebru Ger; Tilbe Göksun – First Language, 2024
This study investigates the influences of early and intense L2 exposure on children's L1 causative verb production, assessed by an experimental causative verb production task. Turkish expresses causality by morphological and lexical means, whereas English does so by periphrastic and lexical means. Learning L2 English might enhance L1 Turkish…
Descriptors: Monolingualism, English (Second Language), Second Language Learning, Second Language Instruction
Tao Zeng; Chang Xu; Jia Hu; Xiuzhi Fu – SAGE Open, 2024
This research investigated the impact of processing instruction (PI) on the acquisition of the English third-person singular present tense by Chinese English-as-a-foreign-language (EFL) learners and whether this effect would extend to the acquisition of other language components. This study featured the pretest-immediate-posttest design and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Transfer of Training
Edith Kaan; Haoyun Dai; Xiaodong Xu – Second Language Research, 2024
According to rational adaptation approaches of language processing, readers adjust their expectations of upcoming information depending on the distributional properties of the preceding language input. However, adaptation to sentence structures has not been systematically attested, especially not in second-language (L2) processing. To further our…
Descriptors: Second Language Learning, Brain Hemisphere Functions, Diagnostic Tests, Sentences
Marisa Nagano; Gita Martohardjono – Second Language Research, 2024
Research on second language (L2) pronoun use in null-argument languages has traditionally focused on whether or not a speaker's first language (L1) also allows null pronouns. However, recent studies have pointed out that it is equally important to consider the specific linguistic properties of overt pronouns in the L1 and L2, which may differ even…
Descriptors: Form Classes (Languages), Native Language, Second Language Instruction, Second Language Learning
Ahmed Tlili; Michael Agyemang Adarkwah; Chung Kwan Lo; Aras Bozkurt; Daniel Burgos; Curtis J. Bonk; Eamon Costello; Sanjaya Mishra; Christian M. Stracke; Ronghuai Huang – Journal of Learning for Development, 2024
The development, use, and timely promotion of Open Education (OE) has been effective in addressing myriad educational concerns, including inclusivity, accessibility and learning achievement, among many others. However, limited information exists in the literature concerning how OE could enhance Generative Artificial Intelligence (GenAI), which is…
Descriptors: Open Education, Instructional Effectiveness, Safety, Artificial Intelligence
Qian Du; Tamara Tate – CATESOL Journal, 2024
ChatGPT has been at the center of media coverage since its public release at the end of 2022. Given ChatGPT's capacity for generating human-like text on a wide range of subjects, it is not surprising that educators, especially those who teach writing, have raised concerns regarding the implications of generative AI tools on issues of plagiarism…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Plagiarism

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