Collection

Artificial Intelligence: Ethical Implications for Teaching, Learning, Assessment, Science, and Research

Submission status
Open
Open for submission from
01 January 2023
Submission deadline
28 February 2025
Guest Editors Phill Dawson, Deakin University, Australia Robert Brennan, University of Calgary, Canada Ann Rogerson, University of Wollongong, Australia Jason Wiens, University of Calgary, Canada Helen Pethrick, University of Calgary, Canada Tomáš Foltýnek, Masaryk University, Czech Republic Renan Moritz Varnier Rodrigues de Almeida, Universidade Federal do Rio de Janeiro, Brazil The full impact of artificial intelligence tools (e.g., GPT-3, ChatGPT, DALL-E) on teaching, learning, and assessment is evolving rapidly. By extension, questions arise about the ethical implications of artificial intelligence tools used for writing, coding, fine arts, and other educational applications. In this thematic collection, we welcome papers regarding the impact of artificial intelligence on academic integrity. We define academic integrity broadly, including but not limited to student conduct, ethical teaching, ethical feedback and assessment, and the ethical application and development of new technologies for learning. Topics may include, but are not limited to: - Artificial Intelligence - Large Language Models (LLM) - GPT-3 - GPT-4 - ChatGPT - academic integrity - research integrity - higher education - education

Articles (5 in this collection)