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Yuting Deng; Yanling Zhang; Ruibin Zhao – Education and Information Technologies, 2025
Computer simulation technology and virtual reality technology have gained considerable attention in the field of education due to their potential to create various 3D interactive learning environments, typically including simulated learning environments and immersive learning environments. To gain a deeper understanding of students' learning…
Descriptors: Computer Uses in Education, Computer Simulation, Assistive Technology, Computer Peripherals
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R. R. J. D. Gayan Jayakody; Faiz M. M. T. Marikar – Acta Didactica Napocensia, 2025
This study investigates the effectiveness of e-learning systems within the Sri Lanka Army (SLA) by exploring the factors that influence learning outcomes. The research employs a mixedmethods approach, combining quantitative data from a structured questionnaire with qualitative insights from interviews with subject matter experts. The sample…
Descriptors: Foreign Countries, Electronic Learning, Military Training, Armed Forces
Alan D. Koenig; John J. Lee; Eric Savitsky; Gabriele Nataneli; Karson Lindstrom; David L. Schriger; Tyler Savitsky – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2025
The urgent need to train military and civilian responders in combat casualty care during large-scale operations presents challenges due to the variability of learner preparedness and the resource demands of traditional curriculum development. This study examines the application of generative artificial intelligence (AI) in authoring and evaluating…
Descriptors: Artificial Intelligence, Computer Uses in Education, Medical Education, Multiple Choice Tests
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Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam
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Julio Antonio Álvarez Martínez; Juan Fernando Gómez; Claudio Díaz Larenas; Abad Ernesto Parada Trujillo; Lizeth Marelly Álvarez Salas; Fabio Alberto Vargas Agudelo – Journal of Educators Online, 2025
In the 21st century, Artificial Intelligence (AI) has become an important element of human experience. Its application in English-language education should enhance students' linguistic abilities. However, there is a scarcity of research on the anxiety and demotivation in them that occurs from incorporating AI in teaching and learning English on…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Electronic Learning
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Vasiliki Laina – Digital Experiences in Mathematics Education, 2025
There is a clear disconnect between the linear and deductive presentation of written proofs and the non-linear and messy process of constructing one. This disconnect poses challenges for students who do not often have opportunities, or the necessary supports, to navigate the transition between the two, quite often contributing to feelings of…
Descriptors: Mathematical Logic, Validity, Computer Uses in Education, Cooperative Learning
Keisha Gadson – ProQuest LLC, 2024
This dissertation was designed to better understand the perceptions of elementary teachers that use a digital platform to implement STEM. There was limited information about how and why elementary teachers lack the pedagogical practice and instructional tools needed to implement STEM in elementary school. In addition, the idea of STEM education is…
Descriptors: Elementary School Teachers, STEM Education, Teacher Attitudes, Electronic Learning
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Jamie M. Chen; Limin Zhang; Supavich Pengnate; Emily Ma; Xi Yu Leung – Journal of Information Systems Education, 2025
Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Learning, Learner Engagement
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Jennifer Jihae Park; Patricia Milner – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite continuous discussions on Generative Artificial Intelligence (Gen AI) ethics in academia, limited studies examine the perceptions of students or the application of ChatGPT with non-traditional students. We report an exploratory single case of a two-week orientation offered to non-traditional students entering online bachelor's degree…
Descriptors: Artificial Intelligence, Undergraduate Students, Nontraditional Students, Virtual Universities
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Dóra M. Szego – International Journal for Technology in Mathematics Education, 2023
Begun in the mid-90s, computers have long been a staple in teaching mathematics to engineering students. In recent years, with the effects of the COVID-19 pandemic and the arrival of Generation Z in tertiary education, the role of blended learning has increased. This paper highlights some of the greater challenges and successes of the transition…
Descriptors: Blended Learning, Mathematics Instruction, Engineering Education, College Students
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Christian X. Navarro-Cota; Ana I. Molina; Miguel A. Redondo; Carmen Lacave – IEEE Transactions on Education, 2024
Contribution: This article describes the process used to create a questionnaire to evaluate the usability of mobile learning applications (CECAM). The questionnaire includes specific questions to assess user interface usability and pedagogical usability. Background: Nowadays, mobile applications are expanding rapidly and are commonly used in…
Descriptors: Usability, Questionnaires, Electronic Learning, Computer Oriented Programs
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Lillian-Yee-Kiaw Wang – Knowledge Management & E-Learning, 2024
The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven towards how the actual usage of Cloud e-learning module…
Descriptors: Foreign Countries, College Faculty, Undergraduate Students, Information Technology
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Muchineripi Munyaradzi; Dichaba Mpho Mildred; Addae David – Community College Journal of Research and Practice, 2024
Higher education institutions worldwide have embraced remote as a response to restrictions caused by the COVID-19 pandemic, which resulted in the imposition of stay-at-home protocols. While this shift from the conventional face-to-face mode to remote learning platforms represents a notable innovation in the education circles, we contend that…
Descriptors: Foreign Countries, Learning Management Systems, Computer Uses in Education, College Faculty
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Na Ni; Zhongsheng He – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper mainly discusses the application of blending learning in animation teaching. Blending learning is a combination of traditional teaching mode and online teaching mode, which can provide students with more flexible and independent learning methods and improve teachers' teaching quality and teaching effect. This paper analyzes and…
Descriptors: Foreign Countries, Undergraduate Students, Blended Learning, Computer Uses in Education
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Valerie Irvine; Mariel Miller; Okan Bulut; Jean-Paul Restoule; George Veletsianos – OTESSA Conference Proceedings, 2024
While the COVID-19 pandemic significantly transformed post-secondary course delivery formats, little attention has been paid to post-pandemic learner preferences. To address this gap, we designed two scales to advance our understanding of learner preferences for online learning modalities: the Modalities of Digital Education -- Learner Preference…
Descriptors: Postsecondary Education, Electronic Learning, Internet, College Students
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