Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned

TL;DR

This paper discusses the transformative impact of generative AI in education and research, highlighting opportunities, ethical considerations, and practical applications, while emphasizing the need for responsible use and community dialogue.

Contribution

It provides a comprehensive overview of generative AI's use cases in education and research, including ethical issues, lessons learned, and practical examples for educators and students.

Findings

Generative AI can enhance active learning and engagement.

Ethical concerns include transparency, bias, and carbon footprint.

Access disparities pose equity challenges.

Abstract

Although generative artificial intelligence (AI) is not new, recent technological breakthroughs have transformed its capabilities across many domains. These changes necessitate new attention from educators and specialized training within the atmospheric and related sciences. Enabling students to use generative AI effectively, responsibly, and ethically is crucial for their academic and professional development. Educators can also use generative AI to develop engaging classroom activities, such as active learning modules and games; however, they must be aware of potential pitfalls and biases. There are also ethical implications in using tools that lack transparency and have a considerable carbon footprint, as well as equity concerns for students who lack access to more sophisticated paid versions of generative AI tools and have deficiencies in prior educational training. This article is written for students and educators alike, particularly those interested in learning more about generative AI in education and research, including its use cases, ethical concerns, and a brief history of its emergence. Sample user prompts are also provided across numerous applications in education and the atmospheric and related sciences. Current solutions addressing broader ethical concerns regarding the use of generative AI in education remain limited; however, this work aims to foster a discussion that could galvanize the education community around shared goals and values.