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Christian Basil Omeh; Chijioke Jonathan Olelewe; Xiao Hu – Education and Information Technologies, 2025
The adoption of generative AI in educational process carries both potential advantages and risks hence there is a need for ethical principles to guide its adoption in education. A population of 443 TVET educators, including 325 male and 118 female, was selected for this study using a mixed research design from the seven TVET public institutions in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Career and Technical Education, Ethics
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XiaoShu Xu; Zhiyou Li; Wilson Cheong Hin Hong; Xinyu Xu; YunFeng Zhang – Education and Information Technologies, 2024
This review provides a critical assessment of Personal Learning Environments (PLEs) and personalized learning within formal education by juxtaposing their beneficial effects against the potential issues that could impede their effective use. Through meticulous screening and reviewing procedures, 53 articles were thematically analyzed and the main…
Descriptors: Individualized Instruction, Independent Study, Definitions, Barriers
Dacia Terry – ProQuest LLC, 2023
The objective of this project was to learn what elements of a systemic-focused implementation guide are key to facilitating the involvement of families and faculty in rural southeastern North Carolina elementary schools as an intervention to reduce the use of exclusionary discipline for children's externalized behavior in school. Guided by the…
Descriptors: Student Behavior, Behavior Problems, Behavior Modification, Elementary School Students
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design