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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
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Vanichvasin, Patchara – International Education Studies, 2022
There are many ways to learn how to be entrepreneurs and one of the powerful ways is to learn from successful entrepreneurs. However, it is difficult to reach and interview those entrepreneurs about their best practices in doing business in real lives. Chatbot technology can come into play in mimicking conversation of successful entrepreneurs and…
Descriptors: Entrepreneurship, Teaching Methods, Graduate Students, Best Practices
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Davies, Patricia Marybelle; Passonneau, Rebecca Jane; Muresan, Smaranda; Gao, Yanjun – IEEE Transactions on Education, 2022
Contribution: Demonstrates how to use experiential learning (EL) to improve argumentative writing. Presents the design and development of a natural language processing (NLP) application for aiding instructors in providing feedback on student essays. Discusses how EL combined with automated support provides an analytical approach to improving…
Descriptors: Experiential Learning, Writing Instruction, Persuasive Discourse, Writing (Composition)
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Hwang, Haerim; Kim, Hyunwoo – Applied Linguistics, 2023
One of the important components in second language (L2) development is to produce clause-level units of form-meaning pairings or argument structure constructions. Based on the usage-based constructionist approach that language development entails an ability to use more diverse, more complex, and less frequent constructions, this study tested…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Predictor Variables
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Siegle, Del – Gifted Child Today, 2023
This article explores the potential uses of AI in gifted education programs. Gifted students often have unique learning characteristics and require specialized program services. The use of AI can provide advanced content, personalized learning, creative writing and image manipulation, critical thinking and problem-solving, collaboration, research…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Gifted Education
Shah, Priten – Jossey-Bass, An Imprint of Wiley, 2023
Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…
Descriptors: Artificial Intelligence, Futures (of Society), Teaching (Occupation), Ethics
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McKnight, Lucinda – Changing English: Studies in Culture and Education, 2021
With artificial intelligence (AI) now producing human-quality text in seconds via natural language generation, urgent questions arise about the nature and purpose of the teaching of writing in English. Humans have already been co-composing with digital tools for decades, in the form of spelling and grammar checkers built into word processing…
Descriptors: Robotics, Artificial Intelligence, Writing (Composition), Writing Instruction
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Jiménez, Haydée G.; Casanova, Marco A.; Finamore, Anna Carolina; Simões, Gonçalo – International Educational Data Mining Society, 2021
Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…
Descriptors: Natural Language Processing, Data Analysis, Classification, Student Surveys
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Pérez Castillejo, Susana – Research-publishing.net, 2021
Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…
Descriptors: Automation, Assistive Technology, Educational Technology, Speech Communication
Mazumder, Sahisnu – ProQuest LLC, 2021
Dialogue systems, commonly called as Chatbots, have gained escalating popularity in recent times due to their wide-spread applications in carrying out chit-chat conversations with users and accomplishing tasks as personal assistants. These systems are typically trained from manually-labeled data and/or written with handcrafted rules and often, use…
Descriptors: Computer Mediated Communication, Computer Software, Dialogs (Language), Information Seeking
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Lynette Hazelton; Jessica Nastal; Norbert Elliot; Jill Burstein; Daniel F. McCaffrey – Journal of Response to Writing, 2021
In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing
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Michal Bobula – Journal of Learning Development in Higher Education, 2024
This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their…
Descriptors: Artificial Intelligence, Information Technology, Natural Language Processing, Literature Reviews
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Smith, Glenn Gordon; Haworth, Robert; Žitnik, Slavko – Journal of Educational Computing Research, 2020
We investigated how Natural Language Processing (NLP) algorithms could automatically grade answers to open-ended inference questions in web-based eBooks. This is a component of research on making reading more motivating to children and to increasing their comprehension. We obtained and graded a set of answers to open-ended questions embedded in a…
Descriptors: Natural Language Processing, Computer Assisted Testing, Grading, Electronic Publishing
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Johns, Brendan T.; Jamieson, Randall K. – Cognitive Science, 2018
The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language (e.g., Griffiths, Steyvers,…
Descriptors: Statistical Analysis, Written Language, Models, Language Enrichment
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Yilmaz, Isa – Universal Journal of Educational Research, 2018
In recent years, a rapid development in computer technologies has been witnessed and feasibility of data access has been increased. In today's world, restoring documents, or data in general, and transferring them to interested parties are ordinary tasks. The amount of restored documents has also increased expeditiously and this development has…
Descriptors: Foreign Countries, Periodicals, Social Sciences, Turkish
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