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Bingham, Mindy – Childhood Education, 2023
While the author can see many ways that artificial intelligence can be used as an adult, a professional, and a business owner, she also realized what it was going to do for children who are learning their basic skills, such as how to write, how to work with numbers, how to think for themselves, and how to make considered choices. What would this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Children, Cognitive Development
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Jacobs, Devon – Childhood Education, 2023
Given his role as Director of Technology, it may come as a surprise that Devon Jacobs is a staunch supporter of a no phones/limited technology approach for young students. In fact, when applying for his position at North Country School/Camp Treetops, he was drawn to the school's commitment to a reduced screen time, reduced media environment for…
Descriptors: Technology Uses in Education, Educational Technology, Handheld Devices, School Policy
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Gunuc, Selim – Journal of College Student Retention: Research, Theory & Practice, 2023
Student engagement refers to the quality and quantity of students' psychological, cognitive, emotional and behavioral reactions to in-class and out-of-class academic and social activities to achieve successful learning outcomes. In literature, the Campus-Class-Technology (CCT) theory in student engagement was developed and tested with some models,…
Descriptors: Learner Engagement, Educational Technology, Models, Technology Integration
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Sackstein, Suzanne; Matthee, Machdel; Weilbach, Lizette – Education and Information Technologies, 2023
Research that employs theory provides a framework and structure in which complex phenomenon, can be understood. While many theories have been developed to study people's technology usage, the plurality of perspectives offered are complex to navigate due to the diverse range of problems and topics addressed and the varied theoretical foundations…
Descriptors: Educational Theories, Models, Technology Uses in Education, Hermeneutics
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Al Breiki, Musabah; Al Abri, Abdullah; Al Moosawi, Abdul Mutalib; Alburaiki, Adnan – Education and Information Technologies, 2023
This study contributes to the extant literature on instructional technology by investigating the relationships between the social and personal factors and behavioral intention to use virtual reality. Moreover, the current study examined the links between perceived characteristics of virtual reality and attitude and the moderating role that can be…
Descriptors: Science Teachers, Intention, Technology Uses in Education, Technology Integration
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Kukreja, Vinay; Jain, Anuj Kumar; Singh, Amitoj; Kaushal, Rajesh Kumar; Aggarwal, Arun – Education and Information Technologies, 2023
Context: In the children's education process, not only children but parents, educators, and teachers are using touchscreen technology-enabled contrivances for better quality of life. Every stakeholder has their perspective on the usage of touchscreen contrivances. A lot of moderators and critical factors affect this perception. Objective: To…
Descriptors: Early Childhood Education, Technology Uses in Education, Educational Technology, Handheld Devices
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Ghamrawi, Norma; Tamim, Rana M. – Education and Information Technologies, 2023
This study investigated a digital reform initiative, rated excellent by the government, of one higher education institution (HEI) in an Arab State in the Gulf. The focus of the study was to develop a digital typology, while exploring the leadership attributes that characterized the core leadership team, as they accomplished the migration towards a…
Descriptors: Educational Technology, Leadership, Higher Education, Handheld Devices
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Pellas, Nikolaos – Smart Learning Environments, 2023
Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the potential to support digital content creation and media production, providing opportunities for individuals from diverse sociodemographic backgrounds to engage in creative activities and enhance their multimedia video content. However, less attention has been paid to…
Descriptors: Artificial Intelligence, Video Technology, Creative Activities, Undergraduate Students
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SpringerBriefs in Education, 2023
This book aims to reflect the digital transformation of Chinese education toward smart education comprehensively and accurately. It is the first systematic summary of the progress of smart education in China. The book believes that smart education is a new education form in the digital era and is essentially distinct from education forms in the…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Educational Change
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Güliz Aydin; Mukaddes Karyagdi – International Journal of Psychology and Educational Studies, 2023
The aim of the research is to determine the pre-service science teachers' views related to technology-supported conceptual change activities. The research is a qualitative descriptive study. Five out of ten pre-service science teachers who participated in technology-supported conceptual change activities were included in the research. The…
Descriptors: Preservice Teachers, Science Teachers, Electronic Learning, Teacher Attitudes
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Eshetu Wordofe Dereje; Atnafu Mulugeta; Woldemichael Mulugeta – Pedagogical Research, 2023
This study was intended to examine the progress of the geometric reasoning skills of pre-service mathematics teachers (PSMTs) in the College of Teacher Education, Oromiya, Ethiopia. In the study, there were three different classes: EG1 (n=48), EG2 (n=38), and CG (n=30), where PSMTs in EG1 were treated with technology into guided inquiry-based…
Descriptors: Preservice Teachers, Mathematics Teachers, Geometry, Mathematical Logic
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Michelle Alvarado; Katie Basinger-Ellis; Behshad Lahijanian; Meserret Karaca; Diego Alvarado – Advances in Engineering Education, 2023
Student preferences for digital learning and the COVID-19 pandemic have increased demand for asynchronous learning activities, including pre-recorded video lectures. However, there are varying recommendations and a lack of data-driven results for how long video lectures should be. This study has two purposes: (1) To determine and understand…
Descriptors: Student Attitudes, Engineering Education, Electronic Learning, Educational Technology
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Ana Maria Ducasse; Carmen López Ferrero; María Teresa Mateo Girona – Australasian Journal of Educational Technology, 2023
Student and teacher perceptions of feedback practices, preferences and awareness of feedback needs may differ and detract from learning. This article explores alignment or misalignment in higher education to argue alignment suggests needs are being met on these issues via technology-enabled feedback on writing. Within the context of academic…
Descriptors: Feedback (Response), Student Attitudes, Teacher Attitudes, Foreign Countries
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Adita Maharaj; Akini Gill – Canadian Journal of Learning and Technology, 2023
This study examined the use of music software as a pedagogical tool for the delivery of specific content in a music education course offered to Certificate and Bachelor of Education Program students at a Caribbean university. The existing course uses a traditional approach, and thus, the study is significant as the results would propel a shift…
Descriptors: Music Education, Undergraduate Students, Foreign Countries, Computer Software
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Rakan Alhrahsheh – Journal of Social Studies Education Research, 2023
This study comprehensively examines the relationship between income and technology and its impact on health outcomes. The authors demonstrate how technology spending enhances well-being and contributes to GDP per capita by increasing labor force participation and production levels. Conversely, income growth leads to increased public health…
Descriptors: Income, Technology, Health, Social Life
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