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Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
Michael A. Alsop; Tarrylton Dunn; Dane Howell – Update: Applications of Research in Music Education, 2025
This research-to-resource article proposes and supports the application of sound-to-symbol approaches within the 5E instructional model to teach musical concepts experientially in beginning band settings. Drawing upon insights from music education scholars and pedagogues advocating for a shift toward sound-first approaches, the article explores…
Descriptors: Music Education, Music Activities, Teaching Methods, Constructivism (Learning)
Omar Albaloul; Risto Marttinen; Chad Killian – Journal of Physical Education, Recreation & Dance, 2024
The recent emergence of artificial intelligence (AI) tools has significantly influenced different fields, including education. One notable example is ChatGPT, an AI-driven large language model (LLM) developed by OpenAI. This tool holds potential for supporting both teachers and students in the teaching and learning process. While some fields of…
Descriptors: Physical Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
Kylie L. Anglin; Vivian C. Wong; Arielle Boguslav – Grantee Submission, 2021
Though there is widespread recognition of the importance of implementation research, evaluators often face intense logistical, budgetary, and methodological challenges in their efforts to assess intervention implementation in the field. This article proposes a set of natural language processing techniques called semantic similarity as an…
Descriptors: Natural Language Processing, Program Implementation, Measurement Techniques, Intervention
Kylie L. Anglin; Vivian C. Wong; Arielle Boguslav – AERA Open, 2021
Though there is widespread recognition of the importance of implementation research, evaluators often face intense logistical, budgetary, and methodological challenges in their efforts to assess intervention implementation in the field. This article proposes a set of natural language processing techniques called semantic similarity as an…
Descriptors: Natural Language Processing, Program Implementation, Measurement Techniques, Intervention
Deumier, Morgan – Ethics and Education, 2022
This paper invites us to reconsider our usual understanding of infancy, no longer as something that passes but as "infantia." The Latin word "infantia," which is not easy to translate, means a lack of speech, a lack of eloquence, and also infancy, babyhood, and dumbness. Drawing on Barbara Cassin's works on the untranslatables,…
Descriptors: Infants, Translation, Language Processing, Second Languages
Joseph Gagen Stockdale III – Online Submission, 2025
"A Dictionary of Contemporary Figurative Language" is meant to be an appendix to an earlier, more comprehensive work: ED648945, "A Dictionary and Thesaurus of Contemporary Figurative Language and Metaphor 2024." This appendix simply updates the dictionary of that previous work to better reflect the language used during the 2024…
Descriptors: Figurative Language, Language Usage, Dictionaries, Phrase Structure
Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
Lee McCallum – Journal for Multicultural Education, 2024
Purpose: This paper aims to present a lesson that showcases how artificial intelligence (AI) tools may be chiefly used in L2 language classrooms to design culture-focussed telecollaboration tasks and aid their completion by students. Design/methodology/approach: The paper begins by reviewing traditional approaches and guidance for developing…
Descriptors: Artificial Intelligence, Intercultural Communication, Second Language Learning, Telecommunications
Letchford, Lois; Rasinski, Timothy – Reading Teacher, 2021
"Little" words often carry complex meanings. Pronoun resolution is an essential component of comprehension. Skilled readers work to maintain text cohesion (i.e., they resolve the pronouns as needed.) Less proficient readers often are not as proficient in resolving pronouns. Limited pronoun resolution limits comprehension. This article…
Descriptors: Form Classes (Languages), Reading Comprehension, Reading Instruction, Teaching Methods
Albertson, Brendon – Research-publishing.net, 2021
A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…
Descriptors: Computer Assisted Instruction, Second Language Learning, Natural Language Processing, Sentences
Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Adam Keath; James Wyant; Brooke Towner – Journal of Physical Education, Recreation & Dance, 2024
AI tools can revolutionize physical education (PE) by assisting teachers in various ways, such as curriculum development, providing feedback, enhancing content knowledge and data analysis, and promoting student engagement. This article explores various ways in which PE teachers can utilize AI tools like ChatGPT to improve their instruction and…
Descriptors: Physical Education, Physical Education Teachers, Technology Uses in Education, Artificial Intelligence
Babineau, Mireille; Havron, Naomi; Dautriche, Isabelle; de Carvalho, Alex; Christophe, Anne – Language Acquisition: A Journal of Developmental Linguistics, 2023
Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. This is "syntactic bootstrapping." A learner that uses syntactic bootstrapping to foster lexical acquisition must first have identified the semantic information that a syntactic context provides. Based on the "semantic seed…
Descriptors: Syntax, Language Acquisition, Vocabulary Development, Language Processing
Michael Cowling; Joseph Crawford; Kelly-Ann Allen; Michael Wehmeyer – Australasian Journal of Educational Technology, 2023
ChatGPT and other artificial intelligence (AI) and large language models (LLMs) have hit higher education by storm. Much of the research focuses on how this -- and similar -- tools can be leveraged for effective education of undergraduate coursework students. In this study, we explore the emerging benefits and limitations of ChatGPT and LLMs in…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students

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