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Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
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
Finkelstein, Shir; Netz, Hadar – Applied Linguistics, 2023
With the increasing use of mobile phones among young people, there is growing public concern about possible detrimental effects of digital writing on learners' literacy and language skills. We ask whether and to what extent nonstandard forms typical of spoken Hebrew and of digital communication are also found in the formal writing of high-school…
Descriptors: Folk Culture, Linguistics, Grammar, Computational Linguistics
Yuki Takahashi; Narathip Thumawongsa – rEFLections, 2024
In recent years, the shift in the teaching approaches employed in Thai English as a Foreign Language (EFL) classroom provides new opportunities and challenges to the teachers and students form Generation Z (1995-2009) and Generation Alpha (2010-2024). This study examines verb errors among Thai EFL learners from Generation Z and Generation Alpha to…
Descriptors: Age Groups, English (Second Language), Second Language Instruction, Second Language Learning
Yang, Kyungmo; Bae, Jiyoung – English Teaching, 2022
The purpose of this study was to investigate the continuity of reading passages of Korean high school English textbooks with the 2015 Revised National Curriculum using CohMetrix, a software that analyzes English texts in a range of linguistic features. Twentyone English textbooks were analyzed: 11 High School English, five High School English I,…
Descriptors: High School Students, English (Second Language), Second Language Learning, Second Language Instruction
El Rassi, Mary Ann Barbour – International Association for Development of the Information Society, 2019
It has long been debated whether the Open-Book-Open-Web exam was useful and efficient as the traditional closed book exams. Some scholars and practitioners have doubted the efficiency and the possibility of cheating in the OBOW as it is not directly monitored. This paper tends to investigate the effectiveness of OBOW exams by comparing them with…
Descriptors: Developing Nations, Test Format, Tests, Cheating
Granados, Adrián; Lorenzo-Espejo, Antonio; Lorenzo, Francisco – International Journal of Bilingual Education and Bilingualism, 2022
However influential the interdependence hypothesis has become in bilingual research, it still lacks full empirical support. This longitudinal study explores the parallels in the biliteracy development (L1 Spanish and L2 English) of 20 students in a European immersion programme (i.e. CLIL) over a two-year period. A bilingual learner corpus of…
Descriptors: Bilingualism, Literacy, Second Language Learning, Second Language Instruction
Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Bohát, Róbert; Rödlingová, Beata; Horáková, Nina – Research-publishing.net, 2015
The Applied Linguistics Project (ALP) started at the International School of Prague (ISP) in 2013. Every year, Grade 9 English as an Additional Language (EAL) students identify an area of learning in need of improvement and design a research method followed by data collection and analysis using basic computer software tools or online corpora.…
Descriptors: Applied Linguistics, Computational Linguistics, Research Papers (Students), Foreign Countries
Crossley, Scott A.; McNamara, Danielle S. – Journal of Research in Reading, 2012
This study addresses research gaps in predicting second language (L2) writing proficiency using linguistic features. Key to this analysis is the inclusion of linguistic measures at the surface, textbase and situation model level that assess text cohesion and linguistic sophistication. The results of this study demonstrate that five variables…
Descriptors: Writing Instruction, Familiarity, Second Language Learning, Word Frequency
Garrett, Jennifer Tumlin; Heller, Kathryn Wolff; Fowler, Linda P.; Alberto, Paul A.; Fredrick, Laura D.; O'Rourke, Colleen M. – Journal of Special Education Technology, 2011
Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…
Descriptors: High School Students, Physical Disabilities, Computational Linguistics, Computer Software