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Danielle S. McNamara; Panayiota Kendeou – Assessment in Education: Principles, Policy & Practice, 2022
We propose a framework designed to guide the development of automated writing practice and formative evaluation and feedback for young children (K-5th grade) -- the early Automated Writing Evaluation (early-AWE) Framework. e-AWE is grounded on the fundamental assumption that e-AWE is needed for young developing readers, but must incorporate…
Descriptors: Writing Evaluation, Automation, Formative Evaluation, Feedback (Response)
Aletcia Whren – ProQuest LLC, 2022
Many teachers in the United States, despite access to and demonstrated benefits of instructional technology, are reluctant to integrate these innovations into their teaching. Although public schools spend millions to supply the technology to improve instruction and student academic achievement, teachers often choose not to adopt it. The purpose of…
Descriptors: Public Schools, Teachers, Technology Uses in Education, Teacher Attitudes
Laura A. Warner; Alicia L. Rihn; Amy Fulcher; Susan Schexnayder; Anthony V. LeBude – Journal of Agricultural Education, 2022
This study examined factors that shape how nursery growers perceive automated nursery technologies and evaluate how these perceptions relate to growers' adoption. We applied Rogers' (2003) Diffusion of Innovations to understand growers' perceptions of automated technologies to inform Extension programming serving niche audiences in the nursery and…
Descriptors: Agricultural Occupations, Automation, Agricultural Production, Innovation
Tanya Cole McLean – ProQuest LLC, 2022
The purpose of this study was to identify barriers preventing teachers from fully integrating technology into their daily instruction. This mixed-method research study identified some common barriers teachers faced daily. Sixteen middle school STEM teachers from a rural Title 1 school district in North Carolina participated in the study. The…
Descriptors: Technology Integration, Barriers, Educational Technology, Instruction
David M. Donnelly – ProQuest LLC, 2022
This dissertation explored the systemic factors influencing learners' technology outcomes in a teacher preparation program, specifically addressing technology fluency and the ability to integrate technology into instruction. Using a combination of grounded theory and qualitative program evaluation, this study identified the scope, contexts, and…
Descriptors: Teacher Education Programs, Technology Integration, Educational Technology, Technological Literacy
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Ogwu, Edna Nwanyiuzor; Emelogu, Ngozi Ugonma; Azor, Richard Ojinnakaeze; Okwo, Fredrick Amunabo – Education and Information Technologies, 2023
Educational technology is a discipline that has a lot of roles to play in the global education system yet, its services had been neglected over the years in Nigeria. The new global reality that was occasioned by the upsurge of COVID-19 has made educational technology a very consequential discipline with conspicuous roles to play in the face of…
Descriptors: Educational Technology, Technology Uses in Education, COVID-19, Pandemics
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Tang, Jingwan; Zhou, Xiaofei; Wan, Xiaoyu; Daley, Michael; Bai, Zhen – International Journal of Artificial Intelligence in Education, 2023
The advances of machine learning (ML) in scientific discovery (SD) reveal exciting opportunities to utilize it as a cross-cutting tool for inquiry-based learning in K-12 STEM classrooms. There are, however, limited efforts on providing teachers with sufficient knowledge and skills to integrate ML into teaching. Our study addresses this gap by…
Descriptors: STEM Education, Artificial Intelligence, Elementary School Teachers, Secondary School Teachers
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Cardon, Peter; Fleischmann, Carolin; Aritz, Jolanta; Logemann, Minna; Heidewald, Jeanette – Business and Professional Communication Quarterly, 2023
Generative AI may significantly disrupt the teaching and practice of business communication. This study of 343 communication instructors revealed a collective view that AI-assisted writing will be widely adopted in the workplace and will require significant changes to instruction. Key perceived challenges include less critical thinking and…
Descriptors: Artificial Intelligence, Writing (Composition), Writing Instruction, Business Communication
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Tajibayeva, Zhibek; Nurgaliyeva, Saniya; Aubakirova, Kymbat; Ladzina, Natalya; Shaushekova, Bayan; Yespolova, Gulden; Taurbekova, Ainur – International Journal of Education in Mathematics, Science and Technology, 2023
The aim of this study is to examine the psychological, pedagogical and technological adaptation levels of repatriated students studying at different universities in Kazakhstan with a comparative and relational approach. In the research, since it is aimed to determine the psychological, pedagogical and technological adaptation levels of the…
Descriptors: College Students, Foreign Countries, Relocation, Adjustment (to Environment)
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Christ, Tanya; Arya, Poonam; Chiu, Ming Ming – Journal of Education and Learning, 2023
The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit…
Descriptors: Educational Technology, Technology Integration, Media Selection, Selection Tools
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Heberer, Don; Pisano, Al; Markson, Craig – Journal for Leadership and Instruction, 2023
The purpose of this study was to leverage the artificial intelligence of ChatGPT to produce a scholarly review of the research literature on best practices for technology integration in higher education. The researchers searched the ERIC database using the keywords "technology integration" and "higher education or college or…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Best Practices
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Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
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Reis-Andersson, Jussara – International Journal of Information and Learning Technology, 2023
Purpose: This paper is aimed at describing and analysing what school organisers express when they network to expand the access and application of digital technologies in educational systems. Digital technologies develop rapidly in society, creating challenges and opportunities in people's lives. Schools have an important task: to prepare young…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Foreign Countries
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Lomos, Catalina; Luyten, J. W.; Tieck, Sabine – Large-scale Assessments in Education, 2023
Background: The large-scale International Computer and Information Literacy Study (2018) has an interesting finding concerning Luxembourg teachers. Luxembourg has one of the highest reported level of technology-related resources for teaching and learning, but a relatively lower reported use of ICT in classroom practice. Methods: ICT innovation…
Descriptors: Educational Technology, Technology Uses in Education, Foreign Countries, Technology Integration
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Kampylis, Panagiotis; Sala, Arianna – European Journal of Education, 2023
Schools play a crucial role in preparing students for a technology-driven world. Although schools incorporate technology for teaching and learning in promising ways, reviewing their organisational strategies would enhance their digital capacity--namely, the effective integration of technology in teaching and learning practices. This article…
Descriptors: Educational Technology, Technology Integration, Student Attitudes, Administrator Attitudes
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