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Tian, Hua; Chen, Jie – Education and Information Technologies, 2023
The importance of university students' electronic health (eHealth) literacy has been established in the literature, yet the association with computer skills is absent. In this study, a total of 5,672 university students were recruited from Xinyang University. Data were collected from an online questionnaire, including the Chinese eHealth Literacy…
Descriptors: Electronic Learning, Health Education, Multiple Literacies, Computer Literacy
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Pritish Anand; Amrendra Pandey – SAGE Open, 2025
Digital adoption has increasingly been seen as a key driver for accelerating human development. However, contextual factors affect digital adoption in a particular geographical setting. These factors have gendered differences due to systemic patriarchy and social stereotypes. There is limited scholarship on identifying such factors and gender…
Descriptors: Foreign Countries, Technology, Adoption (Ideas), Gender Differences
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Luedtke, Allison Oldham – Journal of Economic Education, 2023
The author describes an assignment in an undergraduate game theory course in which students work together in class to develop a computer algorithm to identify Nash equilibria. This assignment builds basic computer science skills while applying game theory knowledge to real-world situations. Students work as a team to delineate the steps and write…
Descriptors: Undergraduate Students, Game Theory, Programming Languages, Assignments
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Neumann, Michelle M. – Early Years: An International Journal of Research and Development, 2023
The use of tablets by young children is increasing and more research is needed to understand how to evaluate and map the emergence of digital writing. To explore this, children (aged 2-5 years; N = 48) were asked to write on an iPad using a drawing app (1×10-minute session/week over 9 weeks). Traditional frameworks for early writing development…
Descriptors: Young Children, Handheld Devices, Computer Literacy, Tablet Computers
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Demir, Okay; Akti Aslan, Seda; Demir, Mustafa – Journal of Educational Technology and Online Learning, 2022
The purpose of the study is to reveal the relationship between teachers' lifelong learning tendencies and digital literacy levels. Both single and correlational survey designs from the quantitative research models were employed. To determine the study group, convenience case sampling was used by considering the Covid-19 pandemic and a total of 322…
Descriptors: Teachers, Lifelong Learning, Computer Literacy, Pandemics
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Payne, Linda; Tawfik, Andrew; Olney, Andrew M. – TechTrends: Linking Research and Practice to Improve Learning, 2022
As computers have become commonplace in everyday life, educators have begun to shift focus from "working" with computers (computer literacy) to "thinking" with computers (computational thinking). This article describes the progression of computational thinking (CT) from a historical perspective. This paper will first review the…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, History
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Bogdan Simion; Lisa Zhang; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil – ACM Transactions on Computing Education, 2025
Although ample research has focused on computing skill development over a single course or specific programming language, relatively little attention is paid to how computing skills evolve across a program. Our work aims to understand how specific skills develop throughout a progression of CS courses. We use qualitative content analysis to catalog…
Descriptors: Skill Development, Computer Science Education, Computer Literacy, Prerequisites
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Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
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Colleen Carraher-Wolverton; Guolin Lai; Jeremy T. Navarre; Dione Davis; Patricia Lanier – Journal of Information Systems Education, 2025
Business analytics is an emerging and prominent tool in many industries seeking to exploit the advantages of data-driven decision making. Simultaneously, educational institutions are developing and delivering business analytics offerings to equip business professionals with the tools necessary to implement business analytics in modern businesses.…
Descriptors: Business Education, Blended Learning, Academic Achievement, Data Analysis
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Kowalska-Chrzanowska, Malgorzata; Krysinski, Przemyslaw; Karwowski, Marcin Pawel – Education and Information Technologies, 2021
The purpose of the article is to describe the trainings implemented as part of the project "E-Active Residents of the Kuyavian-Pomeranian and Lódz Voivodeships" and to present the results of partial assessment of the level of digital competence of 75 training groups (837 participants) recruiting from selected municipalities of the…
Descriptors: Foreign Countries, Computer Literacy, Training, Instructional Effectiveness
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Fan, Zongwen; Chiong, Raymond – Education and Information Technologies, 2023
Digital capabilities have become increasingly important in this digital age. Within a university setting, digital capability assessment is key to curriculum design and curriculum mapping, given that digital capabilities not only can help students engage and communicate with others but also succeed at work. To the best of our knowledge, however, no…
Descriptors: Course Content, Artificial Intelligence, Technological Literacy, Computer Literacy
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Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
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Findeisen, Stefanie; Wild, Steffen – Empirical Research in Vocational Education and Training, 2022
Against the background of digital transformation processes that are currently changing the world of work, this paper examines general digital competences of beginning trainees in commercial vocational education and training (VET) programs. We are particularly interested in factors influencing digital competence profiles. From survey data including…
Descriptors: Computer Literacy, Trainees, Vocational Education, Foreign Countries
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Hui-Zhi Hu; Li-Guo Zhang; Jia-Hua Zhang; Di Zhang; Jia-Rui Xie – Education and Information Technologies, 2025
Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…
Descriptors: Evaluation Methods, Student Evaluation, Competence, Computer Literacy
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Wei Wei; BinBin Zhu; Ning Ding – Education and Information Technologies, 2025
The promotion and implementation of programming education in primary and secondary schools in the intelligent era are associated with high-quality information technology (IT) teachers who possess programming literacy. IT teachers' programming literacy requires a scientific and reasonable index system for quantitative evaluation. On the basis of…
Descriptors: Information Technology, Computer Science Education, Programming, Computer Literacy
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