Abstract
This paper explores the findings of a survey on attitudes toward Artificial Intelligence (AI) and its transformative impact on education, student recruitment, and retention. Leveraging a convenience sample of LinkedIn.com members, the study utilized SurveyMonkey.com for data collection and analysis. A literature review of Theories of Digital Learning reveals a lack of consensus on the optimal theoretical framework for this emerging educational modality. The paper further examines the intersection of AI and academic integrity, offering actionable strategies for educators to navigate this evolving landscape. By bridging empirical insights with theoretical considerations, this work provides a critical foundation for understanding and shaping the role of AI in the future of education.
Presenters
Greg EvansProfessor, Graduate School of Business, University of Maryland Global Campus, Okinawa, Japan
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ARTIFICIAL INTELLIGENCE, ACADEMIC INTEGRITY, DIGITAL LEARNING THEORIES, AI IN EDUCATION
