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Siraprapa Kotmungkun; Wichuta Chompurach; Piriya Thaksanan – English Language Teaching Educational Journal, 2024
This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…
Descriptors: Plagiarism, Artificial Intelligence, Computer Software, Essays
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Dadi Ramesh; Suresh Kumar Sanampudi – European Journal of Education, 2024
Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…
Descriptors: Scoring, Essays, Writing Evaluation, Memory
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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
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Hwang, Wu-Yuin; Nurtantyana, Rio; Purba, Siska Wati Dewi; Hariyanti, Uun; Indrihapsari, Yuniar; Surjono, Herman Dwi – Journal of Educational Computing Research, 2023
English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students' original writings in helping to improve their writing abilities. Therefore, we developed Smart…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English (Second Language)
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Matthews, Joshua; Wijeyewardene, Ingrid – Language Learning & Technology, 2018
Despite the current potential to use computers to automatically generate a large range of text-based indices, many issues remain unresolved about how to apply these data in established language teaching and assessment contexts. One way to resolve these issues is to explore the degree to which automatically generated indices, which are reflective…
Descriptors: Correlation, Robotics, Second Language Learning, Second Language Instruction
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Al-Hamad, Raghda F.; Al-Jamal, Dina A. H.; Bataineh, Ruba F. – Digital Education Review, 2019
This paper examines the potential effectiveness of MALL for developing teens' writing performance. The results reveal substantial improvement in content and ideas, organization and mechanics, vocabulary, and language use in favor of the experimental groups (viz. Smart Teens and Amazing Teens).
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Second Language Instruction
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Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults