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Direct linkIrene Kahvazadeh; Edwin Jose; Alvis C. Fong; Ajay K. Gupta; Steve M. Carr; Shameek Bhattacharjee; Michael Harnar – Education and Information Technologies, 2024
Information systems are increasingly using artificial intelligence (AI). However, AI can be tricked into misbehaving, showing bias, or committing abuse. The root causes of these errors and uncertainties can be hidden away while parallelizing AI algorithms on high-performance computing (HPC) infrastructure. The project outlined in this paper aims…
Descriptors: Curriculum Development, Experiential Learning, Learning Readiness, Artificial Intelligence
Maynard H. Schaus; Victor R. Townsend Jr.; Shane Boyd; Deirdre Gonsalves-Jackson; Eric E. Johnson; Soraya M. Bartol; Marielle Postava-Davignon – Journal of STEM Education: Innovations and Research, 2024
In 2017, the Department of Biology at Virginia Wesleyan University modified its two-course introductory sequence in response to high DFW rates (>50% scoring a D, F, or withdrawing) in the first semester. The revised curriculum created a new third course and moved content that many students struggled with from the first semester to the third…
Descriptors: Introductory Courses, Biology, Science Education, Success
Download full textAmy Walter; Florence Martin; Kendall Hageman-Mays; Blake Wiggs – Journal of Online Learning Research, 2024
With the rising demand for virtual learning, districts are establishing virtual schools to offer more flexible education. This study investigates K-12 virtual learner characteristics, examines trends and issues in virtual academies, and outlines opportunities and challenges faced by stakeholders in a southeastern U.S. state. The study used a…
Descriptors: Educational Trends, Elementary Secondary Education, Student Characteristics, Time Factors (Learning)
