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Showing 1 to 15 of 18 results Save | Export
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William Cain – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper explores the transformative potential of Large Language Models Artificial Intelligence (LLM AI) in educational contexts, particularly focusing on the innovative practice of prompt engineering. Prompt engineering, characterized by three essential components of content knowledge, critical thinking, and iterative design, emerges as a key…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Prompting
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Emily Stellmann; Liyan Song – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper analyzed the existing literature on digital citizenship definitions and curricula to identify the essential elements of digital citizenship that must be addressed in a digital citizenship curriculum. A modified tripartite approach was adopted for this comprehensive literature review that involved three steps woven throughout the review…
Descriptors: Digital Literacy, Literature Reviews, Curriculum, Citizenship
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Miranda S. Fitzgerald; Kaitlyn B. Evans – TechTrends: Linking Research and Practice to Improve Learning, 2024
Digital technologies and the instructional contexts in which they are embedded can increase students' access to meaningful learning opportunities. Although there is a tradition of designing and integrating digital tools in secondary-grades project-based science instruction to enhance learners' access to disciplinary learning, the elementary grades…
Descriptors: Science Instruction, Teaching Methods, Student Projects, Information Technology
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Jeffrey A. Greene; Helen Crompton – TechTrends: Linking Research and Practice to Improve Learning, 2025
The increasing ubiquity of digital technologies in the twenty-first century has led to calls for education reform focused on digital literacy, but what exactly does this term mean? The concept of digital literacy has evolved much since its evolution from media and new literacies scholarship, resulting in a myriad of definitions. Previous attempts…
Descriptors: Digital Literacy, Definitions, Educational Policy, Instructional Design
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Daniela R. Vilarinho-Pereira; Adrie A. Koehler; Yishi Long – TechTrends: Linking Research and Practice to Improve Learning, 2024
Considering preservice teachers' reflections on their best academic learning experiences, the purpose of this research was to use a problem-solving lens to analyze how preservice teachers were first identifying an educational problem and then suggesting solutions where educational technology could be meaningfully implemented. This research used an…
Descriptors: Preservice Teachers, Educational Technology, Technological Literacy, Technology Integration
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Sreeram Vishnu; Mahesh B. Tengli; Sendhil Ramadas; Archana Raghavan Sathyan; Archana Bhatt – TechTrends: Linking Research and Practice to Improve Learning, 2024
Modern life and society are heavily reliant on technology. Technology has the potential to revolutionize educational access by transcending geographical barriers and catering to diverse learning needs, paving the way for equitable and inclusive education for all. Various studies have confirmed that use of technology tools in education would…
Descriptors: Electronic Learning, Higher Education, Foreign Countries, Technology Uses in Education
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Dimitrios Tzimas; Stavros Demetriadis – TechTrends: Linking Research and Practice to Improve Learning, 2025
Learning analytics (LA) is an educational innovation that enhances teaching practices and facilitates student learning. However, the degree of LA adoption across schools remains limited, and teachers who adopt LA do not engage with it consistently. Based on the unified theory of acceptance and use of technology (UTAUT) as a framework, we conducted…
Descriptors: Learning Analytics, Kindergarten, Elementary Secondary Education, Teacher Attitudes
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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
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Elisa Nadire Caeli; Francesco Caviglia; Jeppe Bundsgaard – TechTrends: Linking Research and Practice to Improve Learning, 2025
In this study, we have examined gender differences in the way students relate to information and communication technologies (ICT), to learn more about their perceptions of gender-based stereotypes in this area. This study is based on the results of the 2018 International Computer and Information Literacy Study (ICILS), specifically regarding…
Descriptors: Foreign Countries, Grade 8, Information Technology, Technology Integration
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A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
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Bruce Parsons; John H. Curry – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article investigates an artificial intelligence language model, ChatGPT, and its ability to complete graduate-level instructional design assignments. The approach subjected ChatGPT to a needs, task, and learner analysis for a 12th-grade media literacy module and benchmarked its performance by expert evaluation and measurements via grading…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Instructional Design
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Madeline Dunfee; Heather Bush; Kate A. Leger; Timothy J. Hilbert; Candace Brancato; Erin N. Haynes – TechTrends: Linking Research and Practice to Improve Learning, 2024
At the start of the COVID-19 pandemic, K-12 teachers rapidly implemented new technologies to provide remote education, often with limited technological training and support. We tested whether teachers' satisfaction with their technology training was associated with their perceived stress, depression, anxiety, well-being and sleep. The School Staff…
Descriptors: COVID-19, Pandemics, Elementary Secondary Education, Distance Education
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Noah Glaser; Mohan Yang; Shangman Eunice Li; K. Rende Mendoza – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study examines learner experiences in the Museum of Instructional Design (MID), a 3D Virtual Learning Environment (VLE) developed using Mozilla Spoke and Hubs, focusing on Instructional Design and Technology (IDT) education. The MID utilizes a museum theme as a fundamental design element and allows learners to interact, converse, and develop…
Descriptors: Museums, Instructional Design, Educational Environment, Virtual Classrooms
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Xinyue Ren; Min Lun Wu – TechTrends: Linking Research and Practice to Improve Learning, 2025
The rapid development of artificial intelligence (AI) technologies has demonstrated their affordances and limitations in revolutionizing pedagogical strategies in higher education. Given the lack of guidelines, policies, and resources to assist instructors in efficiently and ethically integrating AI into teaching and learning practices, this…
Descriptors: Teacher Competencies, Artificial Intelligence, Technology Uses in Education, Technology Integration
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