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Julie Donnelly; Kurt Winkelmann – Journal of Science Education and Technology, 2025
The sudden transition to remote learning in response to the COVID-19 pandemic resulted in a significant increase in reliance on instructional technology, some unique to STEM disciplines. This violation of students' expectations for the learning experience presented an additional crisis. Students had to react to the disruption without time to…
Descriptors: COVID-19, Pandemics, Educational Technology, Technology Uses in Education
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Bruno S. Sergi, Editor; Elena G. Popkova, Editor; Ainura A. Adieva, Editor; Nurgul K. Atabekova, Editor – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
This book introduces "University 4.0" as an Educational Technology subject and studies in detail the processes of formation and development of Universities 4.0. It includes materials and applied recommendations for improving the management of Universities 4.0, as well as for the transition to Educational Technology through the creation…
Descriptors: Universities, Educational Technology, Technology Uses in Education, Sustainable Development
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Jianne Ines Fialho Coelho; Breynner Ricardo de Oliveira; Fernanda Natasha Bravo Cruz; Doriana Daroit – Education Policy Analysis Archives, 2025
This article analyzes, based on the formulation and implementation of the Special Program for Remote Activities (Reanp), the controversies of these processes, and the associations and translations of public, private, and technological actors during the COVID-19 pandemic. To track the actors and understand their connections, we considered…
Descriptors: Foreign Countries, Educational Policy, COVID-19, Pandemics
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Seyed Parsa Neshaei; Richard Lee Davis; Paola Mejia-Domenzain; Tanya Nazaretsky; Tanja Käser – International Educational Data Mining Society, 2025
Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…
Descriptors: Artificial Intelligence, Classification, Natural Language Processing, Technology Uses in Education
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Joseph Levitan; Jessica Perez; Andrea Velasquez; Sulem Bello; Juan Loayza; Rosa Espinoza; Daniel Zuñiga; Gerson Cadena; Juan Huertas; Cesar Cáceres; Carlos Torres; Kayla M. Johnson – International Review of Research in Open and Distributed Learning, 2025
During the COVID-19 pandemic, more than 300,000 students in Peru dropped out of the school system. Most of the students were rural Indigenous students. A lack of infrastructure and connectivity, as well as a lack of contextualized and appropriate educational resources, made it virtually impossible for rural students to engage in formal learning.…
Descriptors: Foreign Countries, Indigenous Populations, Electronic Learning, Rural Areas
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John C. Hayvon – International Journal of Lifelong Education, 2025
This article describes the results of a qualitative pilot study, conducted with individuals facing multiple statuses of marginalisation and self-reported barriers to formal education (n = 8). This study emphasises the potential utility of fictional media based on narrative or storytelling pedagogies, and posits that the increasing use of…
Descriptors: Story Telling, Mental Health, Information Technology, Transformative Learning
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Fatma Yaman; Brian Hand – Journal of Chemical Education, 2025
This study investigates how preservice science teachers (PSTs) develop and utilize representations in chemistry when they engage in argument-based inquiry environments using the Science Writing Heuristic (SWH) approach. The data-transformation variant of convergent design, which is a particular form of mixed method research, was used in the study.…
Descriptors: Chemistry, Preservice Teachers, Persuasive Discourse, Inquiry
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Leonid Chernovaty; Natalia Kovalchuk – Advanced Education, 2025
The objective of this article is to examine the most effective and expedient methods for identifying instances of hidden machine translation (MT) usage by student translators in their translation assignments and examinations. Additionally, the article aims to propose a system of incentives to reduce students' reliance on MT. This initiative was…
Descriptors: Computational Linguistics, Translation, Educational Technology, Technology Uses in Education
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Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
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Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
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Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
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Malcolm Tight – Journal of Higher Education Policy and Management, 2024
The idea of the university has been a matter of intense debate for well over a century. The essential nature, role and purpose of the university have long been questioned. The debate has only intensified as universities have multiplied and expanded across the globe, and the demands made upon them by different stakeholders have grown and…
Descriptors: Higher Education, Role of Education, Educational Technology, Ideology
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Gary A. Olson; Heather Lynn Johnson; Rebecca Robinson; Robert Knurek; Kristin A. Whitmore – PRIMUS, 2024
Inverse and injective functions are topics in most college algebra courses. Yet, current materials and course structures may not afford students' conceptual understanding of these important ideas. We describe how students' work with digital activities, "techtivities," linking two different looking graphs that represent relationships…
Descriptors: College Mathematics, Algebra, Mathematics Instruction, Mathematical Concepts
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Alexandros Tsichouridis; Stelios Xinogalos; Apostolos Ampatzoglou – Journal of Educational Computing Research, 2024
Teaching and learning programming, and especially Object-Oriented Programming (OOP), is a complicated and challenging task. Students have to comprehend various OOP concepts and utilize them for designing object-oriented programs. Various types of educational programming environments, such as microworlds and educational games, have been devised for…
Descriptors: Programming, Computer Uses in Education, Educational Resources, Computer Science Education
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Gregory M. Francom – Computers in the Schools, 2024
Teaching and learning activities during the COVID-19 pandemic were largely ineffective, and exacerbated existing learning disparities (Dorn et al., 2020; Muscoviz & Evans, 2022). Instructional technologies were a significant component of these teaching and learning activities. Because K-12 teachers' internal beliefs are a significant predictor…
Descriptors: COVID-19, Pandemics, Elementary School Teachers, Secondary School Teachers
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