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Aravind, Athulya; Koring, Loes – Language Acquisition: A Journal of Developmental Linguistics, 2023
Children's understanding of passives of certain mental state predicates appears to lag behind passives of so-called actional predicates, an asymmetry that has posed a major empirical challenge for theories of passive acquisition. This paper argues against the dominant view in the literature that treats the predicate-based asymmetry as…
Descriptors: Child Language, Language Acquisition, Grammar, Syntax
Trott, Sean; Jones, Cameron; Chang, Tyler; Michaelov, James; Bergen, Benjamin – Cognitive Science, 2023
Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…
Descriptors: Models, Language Processing, Beliefs, Child Development
Diaubalick, Tim; Eibensteiner, Lukas; Salaberry, M. Rafael – International Journal of Multilingualism, 2023
Building up on studies that have revealed L2 transfer of imperfective meaning from one Romance language into another [Salaberry, M. R. (2005). Evidence for transfer of knowledge of aspect from L2 Spanish to L3 Portuguese. In D. Ayoun & R. Salaberry (Eds.), "Tense and aspect in romance languages: Theoretical and applied perspectives"…
Descriptors: Second Language Learning, Morphemes, German, Spanish
Asadi, Ibrahim A.; Asli-Badarneh, Abeer; Janaideh, Redab Al; Khateb, Asaid – Reading and Writing: An Interdisciplinary Journal, 2023
This study investigated the strength of lexical and non-lexical processing among Arabic (L1) English (L3)-speaking children (fourth and fifth grades, N = 532) in two writing systems that vary in terms of transparency. Children were assessed using word reading, phonological and vocabulary measures. In Arabic, the study focused on standard form.…
Descriptors: Arabic, English (Second Language), Language Processing, Grade 4
Youxi Wang; Suke Duan; Guojie Ma; Wei Shen – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Using the printed-word paradigm with eye tracking, this study conducted three experiments to examine (a) how multiple words in spoken overlapping ambiguity strings (OASs) are activated, (b) how word frequency influences the word segmentation of spoken OASs, and (c) whether the multiple words in spoken OASs are activated competitively or…
Descriptors: College Students, Foreign Countries, Chinese, Eye Movements
Yun Dai; Sichen Lai; Cher Ping Lim; Ang Liu – Australasian Journal of Educational Technology, 2023
As artificial intelligence (AI) continues to evolve, its impact on academic environments, especially in postgraduate research supervision, becomes increasingly significant. This study explored the impact of ChatGPT, an advanced AI conversational model, on five dimensions of research supervision: functional, enculturation, critical thinking,…
Descriptors: Artificial Intelligence, Supervision, Graduate Students, Student Attitudes
Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
Md. Shahinur Rahman; Md. Mahiuddin Sabbir; Jing Zhang; Iqbal Hossain Moral; Gazi Md. Shakhawat Hossain – Australasian Journal of Educational Technology, 2023
Little knowledge is available on students' attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology acceptance model and illustrating the moderating…
Descriptors: Student Behavior, Intention, Student Attitudes, Artificial Intelligence
Singh, Anisha – ProQuest LLC, 2023
The use of the audio medium (e.g., audiobooks and podcasts) is proliferating in everyday and educational contexts. Yet, research investigating text processing in audio compared to the more commonly used print medium is limited in scope. Specifically, the research so far has majorly focused on younger learners or English language learners,…
Descriptors: Listening Comprehension, Reading Comprehension, Audiolingual Skills, Language Processing
Wulff, Peter – Education and Information Technologies, 2023
Scientists use specific terms to denote concepts, objects, phenomena, etc. The terms are then connected with each other in sentences that are used in science-specific language. Representing these connections through term networks can yield valuable insights into central terms and properties of the interconnections between them. Furthermore,…
Descriptors: Network Analysis, Natural Sciences, Encyclopedias, Electronic Publishing
Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2023
This study examines the role of ChatGPT as a writing assistant in academia through a systematic literature review of the 30 most relevant articles. Since its release in November 2022, ChatGPT has become the most debated topic among scholars and is also being used by many users from different fields. Many articles, reviews, blogs, and opinion…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Writing (Composition)
Bogdan Nicula; Mihai Dascalu; Tracy Arner; Renu Balyan; Danielle S. McNamara – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education
Kyle Schneider; David Tomchuk; Ben Snyder; Tarrah Bisch; Gina Koch – Athletic Training Education Journal, 2024
Context: ChatGPT is an AI-based large language model platform capable of mimicking human language patterns by responding to user queries. Although concerns over AI-generated content exist in health care and higher education, the ChatGPT platform can assist athletic training educators in creating academic content to alleviate aspects of their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Athletics
Muhammet Remzi Karaman; I?dris Göksu – International Journal of Technology in Education, 2024
In this research, we aimed to determine whether students' math achievements improved using ChatGPT, one of the chatbot tools, to prepare lesson plans in primary school math courses. The research was conducted with a pretest-posttest control group experimental design. The study comprises 39 third-grade students (experimental group = 24, control…
Descriptors: Artificial Intelligence, Natural Language Processing, Lesson Plans, Instructional Effectiveness
Anas Husain – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to investigate the perceptions of programming instructors among the Information Technology faculty members at AL al-Bayt University regarding the effectiveness of ChatGPT in supporting the programming instructional process. This study also aims to explore their experiences concerning the potential benefits and adverse…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Programming

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