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Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Wang, Jie; Singhapreecha, Pornsiri – LEARN Journal: Language Education and Acquisition Research Network, 2022
Resolution to ambiguity imposed by English relative clauses (RC) was examined with Thai EFL students in this study. Offline experimental items included two-site context NPs, i.e., NP1 "of" NP2 (Complex NP of) and NP1 "with" NP2 (Complex NP "with") modified by RCs. As NP1 and NP2 occupy higher and lower positions in…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Language Proficiency
Jianlin Chen; Yu Liu; Yanyan Xiong; Min He – International Journal of Bilingual Education and Bilingualism, 2024
The present study tested whether the switch costs of production-based language switching tasks by trilinguals are due to competition from outside language schemas or from within language systems. We recruited 90 Tibetan-Chinese-English trilinguals in 10th grade in a Tibetan middle school in China to name digits and number words using different…
Descriptors: Code Switching (Language), Chinese, Sino Tibetan Languages, English (Second Language)
Thomas K. F. Chiu; Benjamin Luke Moorhouse; Ching Sing Chai; Murod Ismailov – Interactive Learning Environments, 2024
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly in K-12 education. AI technologies may benefit motivated and advanced students. Understanding…
Descriptors: Teacher Student Relationship, Student Motivation, Artificial Intelligence, Technology Uses in Education
Stefan Küchemann; Steffen Steinert; Natalia Revenga; Matthias Schweinberger; Yavuz Dinc; Karina E. Avila; Jochen Kuhn – Physical Review Physics Education Research, 2023
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Physics
Goldschagg, Paul; Bekker, Tanya; Cockcroft, Kate – South African Journal of Education, 2023
Noise, although ubiquitous, is seldom considered as a factor that may impede learning. In South Africa, most learners are multilingual and learn in English, which is their second language. Most noise studies have been conducted in the Global North, where the school context differs from the Global South. In this article, using questions selected…
Descriptors: Acoustics, Learning Processes, Second Language Learning, Second Language Instruction