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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Arthurs, Noah; Alvero, A. J. – International Educational Data Mining Society, 2020
Word vectors are widely used as input features in natural language processing (NLP) tasks. Researchers have found that word vectors often encode the biases of society, and steps have been taken towards debiasing the vectors themselves. However, little has been said about the fairness of the methods used to evaluate the quality of vectors.…
Descriptors: College Admission, Essays, Evaluation Methods, Natural Language Processing
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
Ilker Cingillioglu – Studies in Higher Education, 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI…
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice
Laura Vilkaite-Lozdiene; Algirdas Dinigevicius – Vocabulary Learning and Instruction, 2024
Previous research has shown that L1-L2 congruency is a facilitative factor in collocation processing. The present study explores the congruency effect between learners' L2 and L3. Thirty-three proficient Norwegian learners with Lithuanian as their L1 and English as their L2 completed a phase acceptability task consisting of three groups of…
Descriptors: Multilingualism, Phrase Structure, Norwegian, Second Language Learning
Shabnam Behzad – ProQuest LLC, 2024
Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Second Language Learning
Zhibin Shan; Hao Xu – Journal of Multilingual and Multicultural Development, 2024
Despite much research on how multilingual learners view the linguistic properties of language, how they perceive languages as cultural capital has been far less investigated. Drawing on the theories of social cognition, this study explores how multiple foreign language learners' impressions, as a lens to observe their multilingual awareness, are…
Descriptors: Multilingualism, Metalinguistics, Second Language Learning, Second Language Instruction

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