Unpopular Opinion: Generative Artificial Intelligence Is Not Eroding Academic Integrity

Autor:	Tan, Myles Joshua Toledo, Maravilla, Nicholle Mae Amor Tan
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society
Druh dokumentu:	Working Paper
Popis:	This paper examines the role of generative artificial intelligence (GAI) in promoting academic integrity within educational settings. It explores how AI can be ethically integrated into classrooms to enhance learning experiences, foster intrinsic motivation, and support voluntary behavior change among students. By analyzing established ethical frameworks and educational theories such as deontological ethics, consequentialism, constructivist learning, and Self-Determination Theory (SDT), the paper argues that GAI, when used responsibly, can enhance digital literacy, encourage genuine knowledge construction, and uphold ethical standards in education. This research highlights the potential of GAI to create enriching, personalized learning environments that prepare students to navigate the complexities of the modern world ethically and effectively. Comment: 11 pages, 0 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.19088 Zobrazit plný text záznamu View this record from Arxiv