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Cioaca, Valentin Sergiu; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the…
Descriptors: Documentation, Computer Software, Open Source Technology, Algorithms
Wu, Robert M. X., Ed. – IntechOpen, 2021
This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: "Higher Education and Digital Economy Development", "Artificial Intelligence in E-Business", and "Business Intelligence Applications". Chapters focus on China's higher education in…
Descriptors: Business, Information Technology, Higher Education, Economic Development
Ciochina, Ludmila – ProQuest LLC, 2021
Language is a quintessentially human trait. Many decades of neurolinguistic research provided evidence of neural structures which specialize in complex linguistic and cognitive processes supporting human communications. Because the world is multilingual, (Crystal, 2010; de Bot, 2019) a prominent question related to brain processes supporting…
Descriptors: Language Usage, Multilingualism, Neurolinguistics, Cognitive Processes
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Rajab Esfandiari; Omid Allaf-Akbary – Language Testing in Asia, 2024
The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL) learners and analyzing the learners' perceptions of DDL. The participants consisted of 93 male and female…
Descriptors: English (Second Language), Second Language Learning, Writing Instruction, Computational Linguistics
Steven Michael Carlo – ProQuest LLC, 2024
The purpose of this dissertation was to scrutinize the complexities involved in the formulation and implementation of relevant policies. The design of each study mirrored key elements in the legislative life cycle specifically as it pertained to civics education policymaking, including problem identification, policy creation, and policy diffusion.…
Descriptors: National Competency Tests, Citizenship Education, Educational Policy, Intervention
Alessandra Zappoli; Alessio Palmero Aprosio; Sara Tonelli – Written Communication, 2024
In this work, we explore the use of digital technologies and statistical analysis to monitor how Italian secondary school students' writing changes over time and how comparisons can be made across different high school types. We analyzed more than 2,000 exam essays written by Italian high school students over 13 years and in five different school…
Descriptors: Essays, Writing (Composition), Foreign Countries, High School Students
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
Adi Korisky; Ido Davidesco; Ofek Ben-Abu; Orel Levy; Klil Abrahami; Orly Geri; Elana Zion Golumbic – Mind, Brain, and Education, 2024
Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision-making, and social interaction. However, students rarely learn about these cognitive processes, or the brain mechanisms underlying them and therefore lack the critical…
Descriptors: Neurosciences, Artificial Intelligence, Computer Software, Learning Activities
Nabor C. Mendonça – ACM Transactions on Computing Education, 2024
The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI's most…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Foreign Countries
Ken Fujita; Mitsuo Ishida – Reading Matrix: An International Online Journal, 2024
Readers should construct a coherent discourse during reading comprehension. The ability to build coherence has been examined using coherence and cohesion judgment tasks. Although eye-tracking studies have been conducted on building coherence or processing cohesion among native language users, few such studies have been conducted with second…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Qi Lu; Yuan Yao; Longhai Xiao; Mingzhu Yuan; Jue Wang; Xinhua Zhu – Assessment & Evaluation in Higher Education, 2024
The integration of ChatGPT as a supplementary tool for writing instruction has gained traction. However, uncertainties persist regarding how ChatGPT complements teacher assessment and the overall effectiveness of this combined approach. To address this, we conducted a mixed-methods investigation involving 46 undergraduate students from a research…
Descriptors: Artificial Intelligence, Educational Technology, Natural Language Processing, Student Evaluation
Mathias Mejeh; Martin Rehm – Educational Technology Research and Development, 2024
Educational technology plays an increasingly significant role in supporting Self-Regulated Learning (SRL), while the importance of Adaptive Learning Technology (ALT) grows due to its ability to provide personalized support for learners. Despite recognizing the potential of ALT to be influential in SRL, effectively addressing pedagogical concerns…
Descriptors: Educational Environment, Natural Language Processing, Educational Technology, High School Students
Jiaxin Li; Er-Hu Zhang; Haihui Zhang; Hecui Gou; Hong-Wen Cao – International Journal of Multilingualism, 2024
Three experiments explored how retrieval practice and corrective feedback affect a third language (L3) vocabulary learning. In the first two experiments, Chinese-English bilinguals without prior French language experience studied English (Second Language, L2)--French (L3) word pairs in repeated studying or retrieval practice without (Experiment…
Descriptors: Multilingualism, Second Language Learning, Vocabulary Development, Error Correction
Dave Kim; Aref Majdara; Wendy Olson – International Journal of Technology in Education, 2024
This exploratory study focuses on the use of ChatGPT, a generative artificial intelligence (GAI) tool, by undergraduate engineering students in lab report writing in the major. Literature addressing the impact of ChatGPT and AI on student writing suggests that such technologies can both support and limit students' composing and learning processes.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Science Laboratories

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