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Mirjana Maricic; Branko Andic; Soeharto Soeharto; Filiz Mumcu; Stanko Cvjeticanin; Zsolt Lavicza – Education and Information Technologies, 2025
According to the theoretical frameworks and teaching practice, the constructs of the Technology acceptance model - TAM and the Cognitive load theory - CLT are in a close cause-and-effect relationship, and gaining insights into this issue is essential for educators. Our study aimed to examine continuous teaching intention (CTI) with emerging…
Descriptors: Teacher Attitudes, Intention, Technology Uses in Education, Elementary School Teachers
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Vaughan K. Collins; Catherine M. Corbin; Jill J. Locke; Clayton R. Cook; Mark G. Ehrhart; Kurt D. Hatch; Aaron R. Lyon – Grantee Submission, 2024
Although there are a growing number of implementation strategies to increase the adoption, fidelity, and sustainment of evidence-based practices (EBP), they are often complex and bulky, which can interfere with their widespread application. To address these challenges, the Helping Educational Leaders Mobilize Evidence (HELM) strategy was created…
Descriptors: Leadership, Usability, Evidence Based Practice, Program Implementation
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Miaoting Cheng; Xiaoyan Lai; Da Tao; Juntong Lai; Jun Yang – Education and Information Technologies, 2024
While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…
Descriptors: Programming, Intention, Competition, Computation
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Chen, Siyu; Qiu, Shiying; Li, Haoran; Zhang, Junhua; Wu, Xiaoqi; Zeng, Wenjie; Huang, Fuquan – Education and Information Technologies, 2023
Artificially intelligent robots as teachers (AI teachers) have attracted extensive attention due to their potential to relieve the challenge of global teacher shortage and realize universal elementary education by 2030. Despite mass production of service robots and discussions about their educational applications, the study of full-fledged AI…
Descriptors: Artificial Intelligence, Robotics, Student Attitudes, Elementary School Students
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Adams, Dawn; McLucas, Raechel; Mitchelson, Hayley; Simpson, Kate; Dargue, Nicole – Journal of Autism and Developmental Disorders, 2022
School refusal is more prevalent in children on the autism spectrum than among their peers. The function of school refusal can be explored using the school refusal assessment scale--revised (SRAS-R) but its relevance to children on the spectrum has not been investigated. Parents of 121 children ("M" age 11.9 years) on the autism spectrum…
Descriptors: Measures (Individuals), Autism, Pervasive Developmental Disorders, Children
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Wonjin Yu; Wanju Huang – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study introduces a case of developing and piloting a tailored education program on AI education for beginner-level learners using machine learning platforms such as Google Teachable Machine and Scratch. The program was piloted with 27 elementary school students. Learning effects and satisfaction were examined during the pilot phase. The…
Descriptors: Artificial Intelligence, Program Development, Educational Technology, Learning Management Systems
Frances Amato – ProQuest LLC, 2024
Interest in one-to-one (1:1) device programs, where schools provide each student with their own computing device, has increased across the United States. The problem this study addressed was whether primary teachers' perceived usefulness, ease of use, organizational support, and technical support of a 1:1 device program is related to their…
Descriptors: Teacher Attitudes, Elementary School Teachers, Adoption (Ideas), Educational Technology
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Emily Relkin; Sara K. Johnson; Marina U. Bers – Educational Technology & Society, 2023
"TechCheck" is an assessment of Computational Thinking (CT) for early elementary school children consisting of fifteen developmentally appropriate unplugged challenges that probe six CT domains. The first version of "TechCheck" showed good psychometric properties as well as ease of administration and scoring in a validation…
Descriptors: Elementary School Students, Developmentally Appropriate Practices, Computation, Thinking Skills
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Nancy Carmona; Edmund Seto; Lisa Hayward; Shirlee Tan; Sinang Lee; Brandon Kemperman; Jenna Truong; Elena Austin – Journal of School Health, 2024
Background: The US government allocated over $2.5 billion in "Elementary and Secondary School Emergency Relief (ESSER)" funds to Washington State for COVID-19 response and ventilation improvements. Despite available funding, gaps persist in supporting schools to successfully use portable air cleaners (PACs). We evaluated PAC needs within…
Descriptors: Elementary Schools, Secondary Schools, COVID-19, Pandemics
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Azam Ghazali; Zakiah Mohamad Ashari; Joanne Hardman; Allif Abu Yazid – Journal of Baltic Science Education, 2024
In recent years, there has been a growing concern in science education on the enhancement of preschoolers' knowledge and motivation for concepts by implementing efficient teaching methods. This study explored the development and effectiveness of the E-sky Module in increasing the development of preschoolers in Project-based Learning (PBL)…
Descriptors: Problem Based Learning, Science Education, Preschool Education, Science Instruction
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Alfageh, Dalal – Distance Learning, 2022
Digital technologies have, over the past few decades, brought significant changes to the learning tools that are available to teachers and students. One of the reading interventions that has contributed to enhancing the reading ability of elementary school students is known as MyON. This intervention helps students easily identify books they can…
Descriptors: Student Experience, Usability, Electronic Books, Elementary School Students
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Toma, Radu Bogdan – Technology, Knowledge and Learning, 2023
The development of computational thinking skills is attracting attention worldwide. The use of visual or block-based coding in primary schools has gained momentum. Yet, students' acceptance of such coding environments has been neglected in the literature. This study presents a measurement instrument that will allow pursuing such an endeavor. The…
Descriptors: Computation, Thinking Skills, Coding, Measurement
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Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education
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Brooks R. Vostal; Jeremy P. Oehrtman; Beth Gilfillan – Professional School Counseling, 2023
School counselors need to be intentional about implementing a comprehensive school counseling program, which will often include planning and teaching classroom lessons on topics connected to academic skills, career planning, and social/emotional learning. Universal Design for Learning (UDL) is a scientifically valid framework for providing access…
Descriptors: Usability, School Counselors, Learner Engagement, Lesson Plans
Andrew J. Hull – ProQuest LLC, 2023
The purpose of this explanatory sequential mixed methods study was to explore Pennsylvania K-12 public school teachers' perceptions of LMS since the onset of COVID-19. The study evaluated teachers' perception of LMS. In March 2020, schools across the United States shifted to online learning due to the pandemic. This pivot in the delivery of…
Descriptors: Elementary School Teachers, Secondary School Teachers, Public School Teachers, Teacher Attitudes
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