Learn to navigate ethical challenges and best practices for using generative AI in academic settings.
Learn to navigate ethical challenges and best practices for using generative AI in academic settings.
This course provides students with essential knowledge about the ethical use of Generative AI (GenAI) in academic contexts. Through scenario-based learning, participants explore AI terminology, benefits, and potential pitfalls. The curriculum covers critical topics including AI bias, accuracy, proper citation methods, and institutional policies. Students learn to evaluate AI-generated content and develop practical skills for ethical AI usage in academic and professional settings.
Instructors:
English
English
What you'll learn
Master common AI terminology and concepts
Evaluate benefits and risks of using GenAI in academics
Identify and avoid AI-generated bias and inaccuracies
Apply proper citation methods for AI-generated content
Understand institutional policies on AI usage
Develop ethical AI practices for academic success
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course offers comprehensive guidance on ethical AI usage in academic settings. Students learn to understand and navigate the ethical challenges of using generative AI through practical scenarios and real-world applications. The curriculum covers AI terminology, bias recognition, proper citation methods, and institutional policies. Special emphasis is placed on developing critical thinking skills for evaluating AI-generated content.
Fee Structure
Instructors

2 Courses
Distinguished Educational Technology Innovator and Researcher
Professor Edward Palmer serves as the Director of the Unit of Digital Education and Training and Acting Deputy Head of the School of Education at the University of Adelaide, where he has established himself as a leading expert in educational technology over three decades. His research portfolio, supported by over three million dollars in funding from government, industry, and defense partners, focuses on innovative applications of technology in education, particularly virtual and extended realities for situational awareness and training. His current research initiatives explore artificial intelligence in education, personalized learning approaches, and the impact of AI on assessment design and creative processes. As the Director of the Unit for Digital Learning and Society, he leads groundbreaking projects in virtual reality applications, including medical procedure training and lunar rover simulations. His teaching excellence has been recognized with national awards and the Faculty Learning & Teaching Award at Adelaide. Palmer's expertise spans curriculum design, online learning methodologies, and assessment practices, with particular emphasis on story-driven, personalized approaches to learning. His recent work investigates critical contemporary issues including the long-term impact of COVID on education, the role of discussion forums in teaching, and the integration of narrative and storytelling in community education, particularly in men's health initiatives.

1 Course
Jazz Musician and Digital Education Scholar
Dr. Daniel Lee serves as a Senior Post-Doctoral Researcher at the University of Adelaide, where he combines his expertise in music education with research on digital technologies in learning. His journey began after discovering jazz guitar through Emily Remler's blues performances, leading to his graduation from the University of Adelaide's Jazz program. With extensive performance experience ranging from beach weddings to festivals and live radio broadcasts, including appearances at Ronnie Scott's Jazz Club and the Adelaide Guitar Festival, he brings practical musical expertise to his academic work. His academic credentials include a Post-Graduate Diploma in Education, Master of Education (International), and PhD in Education, where he examined cultural implications of tertiary music education practices. His current research focuses on the societal impact of digital technologies in education, including groundbreaking work on generative AI's influence on higher education. As a socio-cultural ethnographer, he investigates cultural migration, preservation, and development in the 21st century, contributing to understanding how digital technologies shape modern learning environments. His recent publications explore educators' perspectives on AI in higher education and the development of innovative research methodologies for contemporary education.
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