Search and Filter

Repository Feedback

Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.

Submit feedback

Submit a research study

Contribute to the repository:

Add a paper

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

Authors
Maria J. Molina,
Amy McGovern,
Jhayron S. Perez-Carrasquilla,
Robin L. Tanamachi
Date
Publisher
arXiv
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 sciences and related fields. Enabling students to use generative AI effectively, responsibly, and ethically is critically important for their academic and professional preparation. Educators can also use generative AI to create engaging classroom activities, such as active learning modules and games, but must be aware of potential pitfalls and biases. There are also ethical implications in using tools that lack transparency, as well as equity concerns for students who lack access to more sophisticated paid versions of generative AI tools. This article is written for students and educators alike, particularly those who want to learn more about generative AI in education, including 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. While we don't have solutions for some broader ethical concerns surrounding the use of generative AI in education, our goal is to start a conversation that could galvanize the education community around shared goals and values.
Study at a glance
  • Question: How can educators and students use generative artificial intelligence creatively and ethically in the classroom?
  • Setting and data: Not stated in the abstract
  • Method: Not stated in the abstract
Why it matters

Recent breakthroughs have transformed generative AI, necessitating new attention from educators. Preparing students to use these tools effectively, responsibly, and ethically is critically important, but educators face potential pitfalls, biases, lack of transparency, and equity concerns.

Key findings
  • In atmospheric sciences and related fields, educators can use generative AI to create engaging classroom activities, such as active learning modules and games.
  • Responsible and effective generative AI use is critically important for students' academic and professional preparation.
  • Generative AI tools present ethical risks regarding transparency and create equity concerns for students who cannot access sophisticated paid versions.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

Who is the user?
Who age?