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Stanislav Pozdniakov; Jonathan Brazil; Mehrnoush Mohammadi; Mollie Dollinger; Shazia Sadiq; Hassan Khosravi – Journal of Learning Analytics, 2025
Engaging students in creating high-quality novel content, such as educational resources, promotes deep and higher-order learning. However, students often lack the necessary training or knowledge to produce such content. To address this gap, this paper explores the potential of incorporating generative AI (GenAI) to review students' work and…
Descriptors: Student Evaluation, Artificial Intelligence, Student Developed Materials, Feedback (Response)
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Changxue Ma – Science Insights Education Frontiers, 2025
This article is a survey of the major achievements China has made in digital education since the introduction of the Education Informatization 2.0 Action Plan. Drawing on the existing research literature and relevant reports from the Ministry of Education of China, the study looks at the outcomes of digital education in China in six dimensions:…
Descriptors: Foreign Countries, Computer Science Education, Educational Trends, Technology Uses in Education
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Eva Schmidthaler; Corinna Hörmann; Marina Rottenhofer; Barbara Sabitzer; Zsolt Lavicza – Journal of Research in Innovative Teaching & Learning, 2025
Purpose: This research paper aims to provide information about certified learning apps for biological education and gave an ordered list of all learning apps currently used by Austrian biology teachers in the classroom, which should serve as an overview for all biology teachers. In addition, the (currently little known) certification process of…
Descriptors: Science Education, Biology, Computer Oriented Programs, Technology Integration
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Kayode Oyetade; Tranos Zuva – Educational Process: International Journal, 2025
Background/purpose: The integration of artificial intelligence (AI) in education has the potential to address inequalities and enhance teaching and learning outcomes. However, challenges such as AI biases, limited teacher literacy, and resource constraints hinder equitable implementation, especially in contexts like South Africa. This study…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Equal Education
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Michael D. Carey; David A. Martin; Natalie McMaster – International Journal of Research & Method in Education, 2025
Internationally, university teacher educators are responding to the requirement that preservice teachers (PSTs) need to be confident, operational users of a broad range of technologies, and that they can apply their technological pedagogical and content knowledge (TPACK). TPACK is a framework representing the complex interactions of teachers'…
Descriptors: Test Construction, Test Validity, Self Evaluation (Individuals), Preservice Teachers
Anne Trumbore – Princeton University Press, 2025
From AI tutors who ensure individualized instruction but cannot do math to free online courses from elite universities that were supposed to democratize higher education, claims that technological innovations will transform education often fall short. Yet, as Anne Trumbore shows in "The Teacher in the Machine," the promises of today's…
Descriptors: Educational Technology, Technology Uses in Education, Educational History, Artificial Intelligence
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Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
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Stela-Marina Kostaki; Michalis Linardakis – Education and Information Technologies, 2025
The current study explores the preferences of primary school teachers on the characteristics of Information and Communication Technologies (ICT)-based teaching via Discrete Choice Models (DCM). These models analyze the preferences of teachers towards alternatives that are formed by different characteristics. In this study we examined the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Preferences, Teaching Methods
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Daniel Laumann; Maurice Krause; Fabienne E. Kremer; Barbara Leibrock; Malte S. Ubben; Boris Forthmann; Robin Janzik; Dörthe Masemann; Felix Reer; Cornelia Denz; Gilbert Greefrath; Susanne Heinicke; Annette Marohn; Thorsten Quandt; Elmar Souvignier; Stefan Heusler – Education and Information Technologies, 2025
In recent years, the importance of mobile devices has increased for education in general and more specifically for science and mathematics education. In the classroom, approaches for teaching with mobile devices include using student-owned devices ("bring your own device"; BYOD approach) or using school-owned devices from central pools…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Handheld Devices
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Nazira Naimanova; Aizhan Sapargaliyeva; Bibigul Almukhambetova; Assem Mamekova – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The purpose of the study was to determine the methods of training future teachers to use information and virtual tools to work with younger students with intellectual disabilities. Background: The relevance of training future teachers to work with students with intellectual disabilities is quite high today. This is explained by the…
Descriptors: Preservice Teacher Education, Students with Disabilities, Intellectual Disability, Teacher Competencies
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Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
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Pernilla Sundqvist; Susanne Engström; Charlotta Nordlöf – Design and Technology Education, 2025
The materials and artefacts utilized by teachers and students play a crucial role in education. In a subject like technology, where many teachers feel they do not have sufficient competence, curriculum materials such as textbooks and teacher guides provide important support for teachers. Teacher guides, in particular, have the potential to support…
Descriptors: Guides, Grade 7, Grade 8, Grade 9
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Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
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Joseline M. Santos; Raquel C. Adriano; Marian Minneli S. Cruz; Mayleen Dorcas B. Castro; Eunice B. Custodio; Gerriper T. Bernardo – Problems of Education in the 21st Century, 2025
This study developed a Learning Materials Repository Hub (LMRH) to digitize educational resources for the K-12 education system, addressing the need for centralized, high-quality, and accessible learning materials. Using a developmental research approach, Graduate School students created Digitized Learning Materials (DLMs) aligned with the Most…
Descriptors: Instructional Materials, Computer Uses in Education, Elementary Secondary Education, Teacher Attitudes
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Hetian Yu; Qin Xie – Language Teaching Research Quarterly, 2025
Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Revision (Written Composition)
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