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Elif Tuna Pusa; Serkan Dinçer – SAGE Open, 2025
This meta-synthesis study examines the use of digital assessment tools in education, focusing on their prevalence, benefits, limitations, and recommendations for effective integration into teaching processes. Based on 41 empirical studies published between December 2012 and January 2023, this study follows the thematic synthesis approach proposed.…
Descriptors: Student Evaluation, Portfolio Assessment, Electronic Publishing, Computer Assisted Testing
Hyoju Ahn – ProQuest LLC, 2023
As literacy and reading evolve, it is important to identify and describe the strategies and skills used in constructing meaning. This study examines online multimodal reading (OMR) strategies: those used in constructing meaning from multimodal information sources (e.g., images, audio, written words) on the Internet. Participants read online…
Descriptors: Learning Modalities, Reading Strategies, Electronic Learning, Reading Comprehension
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John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
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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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Fahmi Ulum Al Mubarok; Annas Fajar Rohmani; Lutfi Zaki Al Manfaluthi; Muhammad Salman Al Farisi – Journal of Learning for Development, 2025
This bibliometric analysis provides a comprehensive overview of the research trajectory on "Game-based Mobile Learning" based on Scopus-indexed publications from 2006 to 2024. The study revealed significant growth in scholarly output, peaking in 2023, reflecting the increasing academic and practical interest in integrating game elements…
Descriptors: Bibliometrics, Literature Reviews, Game Based Learning, Electronic Learning
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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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Brine, Alan; Knight, Andrew – New Review of Academic Librarianship, 2021
Summer 2020 witnessed a large-scale temporary release of content from the publishing community to support UK universities as they moved to online-only delivery, followed by a scramble by those institutions to maintain access to resources. This paper reflects on the experiences of De Montfort University and Imperial College libraries during this…
Descriptors: Foreign Countries, Academic Libraries, Library Services, Computer Uses in Education
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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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Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
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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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