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Patrick T. S. Harris – ProQuest LLC, 2024
This quantitative study surveyed 162 higher education faculty nationwide to examine attitudes toward artificial intelligence integration across academic disciplines and backgrounds. Using validated survey instruments, the study measured AI familiarity, usage, adoption readiness, perceived benefits, and concerns. Statistical analysis revealed…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, College Faculty
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Monica Vimbai Chatikobo; Notice Pasipamire – Cogent Education, 2024
The rapid developments in technology and the rise of artificial intelligence (AI) have prompted a need for librarians to revamp their information literacy services. This article evaluates the potential for integrating AI into information literacy (IL) instruction at Bindura University of Science Education Library (BUSEL) by employing the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
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Ann A. O'Connell; Marsha S. Lewis; Natasha K. Bowen; Tracey Stuckey; Ani Ruhil; Krisann Stephany – Grantee Submission, 2024
The purpose of this study was to describe challenges identified by participants from three cohorts in a methods training workshop meant to strengthen evidence-based intervention knowledge and practice. Since passage of the "Every Student Succeeds Act" (ESSA), educational leaders and decision-makers have been charged with ensuring that…
Descriptors: Intervention, Evidence Based Practice, Decision Making, Educational Legislation
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Ioannis Rizos; Evaggelos Foykas; Spiros V. Georgakopoulos – Contemporary Educational Technology, 2024
The rapid development of generative artificial intelligence (AI) is expected to have a profound impact on various aspects of human society, including mathematics education. Nevertheless, there is a noticeable lack of research, particularly in Greece, that focuses on the development and assessment of lesson plans and math worksheets tailored for…
Descriptors: Foreign Countries, Mathematics Education, Special Needs Students, Safety
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Vishal Soodan; Avinash Rana; Anurag Jain; Deeksha Sharma – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…
Descriptors: Artificial Intelligence, Social Networks, College Faculty, Computer Software
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