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Husam M. Alawadh; Talha Meraj; Lama Aldosari; Hafiz Tayyab Rauf – SAGE Open, 2024
E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…
Descriptors: Essays, Writing Evaluation, Computer Software, Technology Uses in Education
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Waad Alsaweed; Saad Aljebreen – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…
Descriptors: Error Correction, Writing Instruction, Grammar, Morphemes
Chutinan Noobutra – LEARN Journal: Language Education and Acquisition Research Network, 2024
The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…
Descriptors: Error Correction, Native Language, Second Language Learning, Second Language Instruction
Li, Xi-ping – English Language Teaching, 2021
Writing is one of productive skills and a way of conveying information considered to be the most complex and the most challenging skill for EFL English learners to acquire, hence many studies have been conducted on the revelation of the characteristic of writings of EFL learners and how to improve them. Among them, pronoun study has attracted…
Descriptors: Form Classes (Languages), Second Language Learning, Second Language Instruction, English (Second Language)
Chon, Yuah V.; Shin, Dongkwang – English Teaching, 2020
While learners may have access to reference tools during second language (L2) writing, the latest developments in machine translation (MT), such as "Google Translate" requires examination as to how using the tool may factor into the second language learners' writing products. To this end, the purpose of this study was to examine how MT…
Descriptors: Translation, Computational Linguistics, Second Language Learning, English (Second Language)
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
Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
Oyzon, Voltaire Q.; Corrales, Juven B.; Estardo, Wilfredo M., Jr. – International Journal of Evaluation and Research in Education, 2015
In 2012 the Leyte Normal University developed a computer software--modelled after the Spache Readability Formula (1953) made for English--made to help rank texts that can is used by teachers or research groups on selecting appropriate reading materials to support the DepEd's MTB-MLE program in Region VIII, in the Philippines. However,…
Descriptors: Foreign Countries, Readability, Readability Formulas, Computer Software
Mina, Nurawati; Putranti, Sulistini Dwi – Dinamika Ilmu, 2015
Cartoon comes from an Italian word "Cartone" meaning a large paper. It is designed not only as the media to describe daily activities, but also to entertain, criticize, provoke, and even to teach people. A lot of studies have been conducted regarding the implementation of cartoon in classroom or outside classroom context. It is proven…
Descriptors: Cartoons, Second Language Learning, Second Language Instruction, Teaching Methods
Savicki, Victor; Price, Michele V. – Journal of College Student Development, 2015
Reflective thinking is an important feature of study-abroad learning, yet research on reflection in this context is sparse. The current study examined student reflection on 3 content areas (Academic Expectations, Cultural Expectations, and Psychological Issues) at 3 times (before, during, and after study abroad). A content analysis approach with…
Descriptors: College Students, Reflection, Study Abroad, Expectation
Rahim, Mia Emily Abdul; Rahim, Emma Marini Abdul; Ning, Chia Han – English Language Teaching, 2013
The study aimed to investigate the distribution patterns of the English grammar articles (a, an, and the) as well as the distributions of their colligation patterns in written compositions of English among Malaysian ESL learners. This paper reports the results of a corpus-based study on articles used by these learners. The method used in this…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Second Language Learning
Harrison, Sandra; Morgan, Roger – Language Learning Journal, 2012
There is an increasing sensitivity to the challenges posed by the language of examination papers and of instruction in scientific subjects, especially for non-native speakers of English. It has been observed that in addition to technical subject-specific vocabulary, non-technical words such as instructional verbs have been sources of difficulty,…
Descriptors: Sentences, Manufacturing Industry, Sentence Structure, Computer Software
McNamara, Danielle S.; Crossley, Scott A.; McCarthy, Philip M. – Written Communication, 2010
In this study, a corpus of expert-graded essays, based on a standardized scoring rubric, is computationally evaluated so as to distinguish the differences between those essays that were rated as high and those rated as low. The automated tool, Coh-Metrix, is used to examine the degree to which high- and low-proficiency essays can be predicted by…
Descriptors: Essays, Undergraduate Students, Educational Quality, Computational Linguistics
Li, Li; Walsh, Steve – Language Teaching Research, 2011
This article presents findings from what we believe to be the first large-scale study of its kind on the use of ICT (information and communications technology) in English language classes in China. Participants are 400 EFL (English as a foreign language) teachers from different types of schools in Beijing. The purpose of the study was to examine…
Descriptors: Focus Groups, Interviews, Foreign Countries, Computer Literacy
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