Introduction: Recent innovations in generative artificial intelligence (AI) technologies have led to an educational environment in which human authorship cannot be assumed, thereby posing a significant challenge to upholding academic integrity. Statement of the problem: Both humans and AI detection technologies have difficulty distinguishing…

Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…

Background: Citation practices are fundamental to teaching scholarly writing. With the emergence of generative Artificial Intelligence (AI) technologies, students need a structured way to cite when and how these technologies are used. Objective: This paper introduces an instructor resource, an AI Contribution Statement, which provides students…

This article describes an in-class exercise that illustrates the advantage of semantic over nonsemantic study habits. The exercise includes a survey of students' current study strategies, followed by the presentation of an abbreviated version of Craik and Tulving's(1975) classic levels-of-processing experiment. We observed significant benefits of…