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What Works Clearinghouse Rating
Muhsin Menekse – Grantee Submission, 2023
Generative artificial intelligence (AI) technologies, such as large language models (LLMs) and diffusion model image and video generators, can transform learning and teaching experiences by providing students and instructors with access to a vast amount of information and create innovative learning and teaching materials in a very efficient way…
Descriptors: Educational Trends, Engineering Education, Artificial Intelligence, Technology Uses in Education
Jin Mao; Baiyun Chen; Juhong Christie Liu – TechTrends: Linking Research and Practice to Improve Learning, 2024
The abrupt emergence and rapid advancement of generative artificial intelligence (AI) technologies, transitioning from research labs to potentially all aspects of social life, has brought a profound impact on education, science, arts, journalism, and every facet of human life and communication. The purpose of this paper is to recapitulate the use…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning
Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
Jorge González Alonso; Pablo Bernabeu; Gabriella Silva; Vincent DeLuca; Claudia Poch; Iva Ivanova; Jason Rothman – International Journal of Multilingualism, 2025
The burgeoning field of third language (L3) acquisition has increasingly focused on intermediate stages of language development, aiming to establish the groundwork for comprehensive models of L3 learning that encompass the entire developmental sequence. This article underscores the importance of a robust epistemological foundation, advocating for…
Descriptors: Multilingualism, Artificial Languages, Second Language Learning, Individual Differences
Wongvorachan, Tarid; Lai, Ka Wing; Bulut, Okan; Tsai, Yi-Shan; Chen, Guanliang – Journal of Applied Testing Technology, 2022
Feedback is a crucial component of student learning. As advancements in technology have enabled the adoption of digital learning environments with assessment capabilities, the frequency, delivery format, and timeliness of feedback derived from educational assessments have also changed progressively. Advanced technologies powered by Artificial…
Descriptors: Artificial Intelligence, Feedback (Response), Learning Analytics, Natural Language Processing
Sorin Valcea; Maria Riaz Hamdani; Shuai Wang – Journal of Management Education, 2024
This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…
Descriptors: Artificial Intelligence, Natural Language Processing, Business Administration Education, Technology Uses in Education
Jacob Holster – Music Educators Journal, 2024
ChatGPT is emerging as a formidable asset for music educators, poised to enhance student engagement, refine assessment methods, and automate repetitive tasks related to music teaching. The core of this perspective revolves around the use of custom prompt templates that support individualized and reflexive teaching practices. The broader…
Descriptors: Music Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
Nancy Mather – Communique, 2024
Over the last few decades, several definitions of dyslexia have centered on phonological awareness as the sole linguistic risk factor for developing dyslexia. Although difficulties with the acquisition and application of speech sounds can affect reading and spelling development, additional factors can as well and are included in other…
Descriptors: Dyslexia, Disability Identification, At Risk Persons, School Psychologists
Adam B. Lockwood – Communique, 2025
School psychologists constantly seek innovative ways to support students and colleagues. They understand the unique challenges within schools, including complex student needs, systemic pressures, and ever-increasing paperwork. What if they could create custom digital tools like games, interactive simulations, or decision-making aids, all tailored…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Computer Oriented Programs
Timothy C. Papadopoulos – International Journal for Research in Learning Disabilities, 2023
The Conference at the University of Oviedo, Spain, within the 44th Annual Meeting of the International Academy for Research in Learning Disabilities, was an excellent opportunity to share knowledge, explore perspectives and reflect on the study of neurodevelopmental disorders in Europe and elsewhere in the world. The William M. Cruickshank…
Descriptors: Neurodevelopmental Disorders, Learning Disabilities, Foreign Countries, Speeches
Kristina Peterson; Dennis Magliozzi – English Journal, 2024
It's clear that the transformative potential of artificial intelligence (AI) programs such as ChatGPT (generative pre-trained transformer) will significantly impact education, and it is natural for teachers to feel apprehensive about this change. This article explores the role of ChatGPT in a high school English classroom and discusses how it can…
Descriptors: Writing (Composition), Artificial Intelligence, Natural Language Processing, Workshops
Elizabeth Langran; Paula Cristina R. Azevedo; Oliver Dreon; Stephanie Smith Budhai; Clara Hauth – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
Gao, Fan; Dechsubha, Thawascha – Education Quarterly Reviews, 2022
This paper offers a comprehensive survey of translation ethics within the theoretical frame of Lady Welby's meaning triad concerning the relationship between ethics and translation in the meaning process of sign activities. The paper mainly discusses such aspects as: (1) the relationship between meaning triad and translation ethics, (2) upward…
Descriptors: Ethics, Translation, Correlation, Cognitive Ability
Chansanam, Wirapong; Jaroenruen, Yuttana; Kaewboonma, Nattapong; Tuamsuk, Kulthida – Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural…
Descriptors: Foreign Countries, Graphs, Data Collection, Semantics

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