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Vázquez-Cano, Esteban; Parra-González, Maria Elena; Segura-Robles, Adrián; López-Meneses, Eloy – International Journal of Instruction, 2022
This study aims to analyze the scientific research that has addressed the negative impact of technology in the educational field. The research is implemented from a methodological approach based on the bibliometric mapping of the scientific production registered in the Web of Science in the period 2008-2019. To do this, indicators of growth,…
Descriptors: Technology Uses in Education, Bibliometrics, Content Analysis, Privacy
Vlieghe, Joris – Journal of New Approaches in Educational Research, 2022
This contribution deals with the impact of digitisation on what it means to educate and to be educated, especially in the wake of the massive switch to on-screen learning during the COVID-19 crisis. It is argued that we can only adequately relate to this phenomenon if it is based on a strong pedagogical and technocentric account of (school)…
Descriptors: Technology Uses in Education, Influence of Technology, Educational Trends, Instruction
Cun, Aijuan – Bilingual Research Journal, 2022
This study explores the digital literacy practices and identities of two children with refugee backgrounds. The study draws upon theoretical perspectives on multiliteracies, digital literacy practices, and identities. The data sources included field notes taken during home visits, audio recordings of conversations, and artifacts made by the…
Descriptors: Digital Literacy, Refugees, Children, Video Games
Chase Bollig – College Composition and Communication, 2025
Critiques of neoliberal capitalism have offered a rich vocabulary for the analysis of the political economy of literacy across professional, public, and classroom contexts. Since the Great Recession, commonplaces about work-readiness have been conditioned by economic precarity and changes to the social contract of work that blur the lines between…
Descriptors: Occupations, Professional Recognition, Civics, Futures (of Society)
Erik Hombre Cuevas; Daniel Zaldivar; Marco Perez – International Journal of Information and Communication Technology Education, 2025
The integration of various programming languages into the undergraduate engineering curriculum often occurs without adequate evaluation of their effectiveness within specific disciplines. Recently, Python and MATLAB have garnered significant attention as preferred languages for teaching subjects such as image processing and computer vision.…
Descriptors: Influence of Technology, Technology Uses in Education, Programming Languages, Academic Achievement
Oguzhan Nacaroglu; Oktay Kizkapan; Hüseyin Demir – Psychology in the Schools, 2025
Science learning motivation refers to the drive and enthusiasm that students exhibit towards learning science. Science learning competencies, on the other hand, are the skills and knowledge enabling students to understand and apply scientific concepts effectively. Digital literacy, defined as the ability to effectively use digital tools and…
Descriptors: Middle School Students, Student Motivation, Science Education, Digital Literacy
Xiaoxuan Fang; Davy Tsz Kit Ng; Manwai Yuen – Education and Information Technologies, 2025
To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…
Descriptors: Computer Software, Mental Computation, Elementary School Mathematics, Grade 5
Azmi Fitriati; Subuh Anggoro; Corrienna Abdul Talib; Tin Lam Toh – Turkish Online Journal of Distance Education, 2025
The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…
Descriptors: Foreign Countries, College Students, Young Adults, Self Efficacy
Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
Bin Liu; Yuanyuan Liao – Education and Information Technologies, 2025
The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Adrian Quijada; Ivan Parra-Salazar; Eric D. Verwys; Laura Lujo-Montes; Caroline Patrick-Birdwell; Mario Montes-Helu – Tribal College Journal of American Indian Higher Education, 2025
Tribal data sovereignty is an essential component of self-determination and the preservation of cultural identity for Native American tribes. In the modern age, technology has become a critical tool in this endeavor, particularly the use of drones for monitoring natural resources and the development of drone database training programs. The Tohono…
Descriptors: American Indian Students, Community Colleges, Conservation (Environment), Conservation Education
Siska Wati Dewi Purba; Bertha Natalina Silitonga; John Jackson Yang – Turkish Online Journal of Distance Education, 2025
The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Educational Trends
Sara Mörtsell – Pedagogy, Culture and Society, 2025
This paper examines the implications of platforms as a repertoire for knowing and relating the intensities of pandemic restrictions on teaching and schoolwork. Building on platformisation in education, what work platforms do in unpredictable everyday pedagogical encounters is investigated. Specifically, the paper explores a methodological…
Descriptors: Foreign Countries, Educational Technology, COVID-19, Pandemics
Issa Alhasanat – Educational Process: International Journal, 2025
Background/purpose: The main objective of this research is to investigate the impact of employing e-learning on the level of reading comprehension among basic stage students from the perspective of their female teachers in Amman. It also sought to determine whether there were statistically significant differences in these perceptions attributable…
Descriptors: Foreign Countries, Reading Comprehension, Teacher Attitudes, Women Faculty

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