E-Ethical-Learning: Principles and guidelines for ethical digital learning in higher education
This article provides a code of ethics and practical guidelines for critically examining the assumptions about proficiency in digital literacy.
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The rapid integration of artificial intelligence (AI) into various sectors has raised significant ethical concerns, particularly in academic writing. This article examines the impact of generative AI (GAI) tools, such as ChatGPT, on the academic writing process. While these tools offer the potential to enhance efficiency and creativity, they also present challenges related to authorship, plagiarism, and academic integrity. The article explores key concerns, including privacy, validity, and bias, associated with GAI tools. It further provides guidelines for the ethical use of AI in academic manuscripts, emphasizing the importance of transparency and the careful documentation of AI contributions.
Within higher education, digital learners are confronted with antiquated classifications of digital natives and immigrants, first introduced by Marc Prensky (2001), which make assumptions about their proficiency in digital literacy. This article provides a code of ethics and practical guidelines for critically examining the assumptions presented. The author has coined the term "e-ethical-learning" to refer to a set of ethical principles and practical guidelines, which is a portmanteau of "ethical education" and "e-learning."