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UAV-Based High-Throughput Phenotyping in Plant Breeding
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Catherine Mick; Don Lee; Leah Sandall; Katherine Frels; Yufeng Ge – Natural Sciences Education, 2025
Traditional phenotyping methods are labor-intensive, time-consuming, and often destructive measurements that describe plant traits. Technology allows the advancement of sensor-based phenotype data to be collected digitally. This area of work is called high-throughput phenotyping (HTP). HTP is rapid, non-destructive, and non-invasive. The effective…
Descriptors: Plants (Botany), Genetics, Open Educational Resources, Technology Integration
Determinants of Student Adoption of Generative AI in Higher Education
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Quality Assurance in Distance Higher Education: A Bibliometric Study of Scopus-Indexed Publications between 1993 and 2024
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Huu-Bich Nguyen; Nguyen Quang Duy Vu; Duc-Tai Dinh; Hiep-Hung Pham – Electronic Journal of e-Learning, 2025
This bibliometric study investigates the evolution and trends in quality assurance in distance higher education (QADHE) through a comprehensive analysis of Scopus-indexed publications spanning from 1993 to 2024. The research aims to address several critical aspects, including publication trends, international collaboration networks, influential…
Descriptors: Quality Assurance, Educational Quality, Higher Education, Bibliometrics
Teachers' Perceptions of Artificial Intelligence in Colombia: AI Technological Access, AI Teacher Professional Development and AI Ethical Awareness
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Paola Julie Aguilar-Cruz; Sdenka Zobeida Salas-Pilco – Technology, Pedagogy and Education, 2025
The introduction of artificial intelligence (AI) in education is seen as a promising tool to enhance learning outcomes and provide students with engaging learning environments in developing countries such as Colombia. This case study aimed to investigate teachers' perceptions of AI in K-12 education in public schools located in the Amazonian…
Descriptors: Teacher Attitudes, Ethics, Artificial Intelligence, Computer Software
A Slightly Digital Learning Environment in the Hands of a Rural Teacher: Modern-Day Teaching and Its Impact on Student Engagement and Subject Learning Outcomes
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Guangyun Zhang – Education and Information Technologies, 2025
If properly trained, rural teachers can successfully digitalize their classrooms even with limited resources at hand. This study aims to empirically examine how teaching with limited digital resources affects student engagement and student performance in the rural school setting. The study involved 245 middle school-aged children from three rural…
Descriptors: Foreign Countries, Middle School Students, Middle School Teachers, Technology Integration
Education 4.0 Unravelled: Deciphering Critical Success Factors for Successful Implementation
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Michael Sony; Kochu Therisa Beena Karingada – Journal of Applied Research in Higher Education, 2025
Purpose: Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the…
Descriptors: Success, Educational Practices, Student Centered Learning, Technology Uses in Education