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Handan Atun; Dincer Cinar; Elif Sengun Oztas; Yasemin Gulbahar; Sa’ad Laws; Alan S. Weber; Robert Bianchi; Khawla Kittaneh – Turkish Online Journal of Distance Education, 2024
The ability to interact or engage with the instructor, other students, and the content i.e., to experience online student engagement, is one main difference between traditional and digital media employed in teaching and learning processes. As literature on this topic in the Turkish context has proliferated, to date, virtually no systematic reviews…
Descriptors: Foreign Countries, Online Courses, Learner Engagement, Postsecondary Education
Ivaylo Staribratov; Nikol Manolova – Discover Education, 2024
The article presents the application of 3D technologies in STEAM education through a conducted scientific research, highlighting the role of 3D modeling and 3D printing as an innovative approach in achieving an interdisciplinary learning model. The research included the following stages: preparation for designing a detailed 3D steam locomotive…
Descriptors: Art Education, STEM Education, Educational Technology, Technology Uses in Education
Stephanie Mann Harvard – ProQuest LLC, 2024
The integration of educational technology in elementary classrooms has the potential to enhance teaching and learning experiences, provide targeted instruction, and support higher order thinking and differentiation. However, teachers' perceptions and beliefs about technology play a crucial role in determining its successful adoption and…
Descriptors: Elementary School Teachers, Teacher Attitudes, Educational Technology, Student Needs
David Wesley Woolverton – ProQuest LLC, 2024
As virtual reality (VR) becomes more commonly used in education, it is important to understand the technology's weakness and mitigate any potential negative effects on student success. One adverse side-effect of VR use is simulation-induced motion sickness, known in the context of VR as VR sickness. Previous research by Howard and Van Zandt (2021)…
Descriptors: Computer Simulation, Educational Technology, Fear, Correlation
Pekka Mertala; Eleni Moens; Marko Teräs – Learning, Media and Technology, 2024
Citations are valuable capital in the academy as the number of citations is the most frequently used indicator in evaluating the quality of papers, journals, researchers, and universities. Thus, the characteristics of highly cited articles (HCA) have become a common research topic but the approach has been mainly descriptive with no profound…
Descriptors: Credibility, Information Sources, Content Analysis, Media Research
Janine Arantes – Learning, Media and Technology, 2024
As a result of the growing commercial marketplace for teachers' digital data, a new organization that includes educational data brokers has evolved. Educational data brokerage is relatively intangible due to the ease of de-identified data being collected and sold via educational technology. There is an urgent need to expose how the brokerage of…
Descriptors: Data Collection, Educational Technology, Commercialization, Privacy
Yuxia Shi; Zhonggen Yu – Electronic Journal of e-Learning, 2024
With the pervasiveness of laptops in the classroom setting, the effectiveness of laptop-assisted note-taking has not been comprehensively investigated. Many inconsistencies in this area still existed with intense debate towards academic performance, learning strategies, and student satisfaction. To fill this missing gap, this study probed the…
Descriptors: Notetaking, Laptop Computers, Student Satisfaction, Academic Achievement
Lexi Elara; Kathryn S. McCarthy – American Journal of Distance Education, 2024
Virtual experiments offer opportunities for students to engage in the scientific process and observe scientific phenomena. However, virtual experiments are not always effective for learning. The current study examined how two small manipulations might support better learning from virtual experiments and the extent to which this varied across…
Descriptors: Electronic Learning, Science Laboratories, Educational Technology, Undergraduate Students
Rico Amoussohoui; Aminou Arouna; Miroslava Bavorova; Vladimir Verner; Wilfried Yergo; Jan Banout – Journal of Agricultural Education and Extension, 2024
Purpose: The study evaluates new approach of digital extension services for the long-term adoption of digital extension technologies. We propose an indirect adoption approach to address following research questions. What socioeconomic factors influence rice farmers' decision to prefer one business profile over another? Which business profile is…
Descriptors: Foreign Countries, Socioeconomic Influences, Agricultural Occupations, Predictor Variables
Saida Ulfa; Ence Surahman; Izzul Fatawi; Hirashima Tsukasa – Electronic Journal of e-Learning, 2024
The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…
Descriptors: MOOCs, Intention, Automation, Feedback (Response)
Michelle Cannon; Theo Bryer; Sara Hawley – Literacy, 2024
In this study, we reflect on our work with 10- and 11-year-olds in an inner London primary school developing a multimodal school play that integrated digital animation into a more conventionally structured Year 6 production. We are media literacy, drama and cultural studies researchers and teachers, arguing for more inclusive, holistic and…
Descriptors: Animation, Preadolescents, Elementary School Students, Urban Schools
I Wayan Redhana; Ida Bagus Nyoman Sudria; I Nyoman Suardana – Science Education International, 2024
The rapid development of information and communication technology demands the production of digital products. This study aims to produce a digital instructional book based on Balinese local cultures to enhance the learning outcomes of high school students. The development of this book used the ADDIE model. The analysis phase included an analysis…
Descriptors: Electronic Books, Educational Technology, Science Instruction, High School Students
Peter J. Rich; Scott Bartholomew; David Daniel; Kenzie Dinsmoor; Meagan Nielsen; Connor Reynolds; Meg Swanson; Ellyse Winward; Jessica Yauney – Journal of Research on Technology in Education, 2024
In this study, we attempted to curate a list of tools whose primary intent is to enable and teach children to code. From this list, we developed a framework for the classification of coding tools and reviewed current research to determine how tools are used to teach coding in elementary education. The catalog grew to over 300 specific tools…
Descriptors: Educational Trends, Teaching Methods, Coding, Thinking Skills
Raffaella Borasi; David E. Miller; Patricia Vaughan-Brogan; Karen DeAngelis; Yu Jung Han; Sharon Mason – Phi Delta Kappan, 2024
To better understand the current challenges surrounding the use of artificial intelligence (AI) in K-12 schools, a team of researchers (Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, and Sharon Mason) interviewed 36 western New York school leaders in late 2023. Their concerns moved beyond potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Leadership
Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers

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