Beyond boundaries: exploring a generative artificial intelligence assignment in graduate, online science courses.

ABSTRACT: Generative artificial intelligence (GAI) offers increased accessibility and personalized learning, though the potential for inaccuracies, biases, and unethical use is concerning. We present a newly developed research paper assignment that required students to utilize GAI. The assignment was implemented within three online, asynchronous graduate courses for medical laboratory sciences. Student learning was assessed using a rubric, which rated students' effective integration and evaluation of GAI-generated content against peer-reviewed research articles, thus demonstrating their critical thinking and synthesis skills, among other metrics. Overall rubric scores were high, suggesting that learning outcomes were met. After field testing, we administered a 16-item survey about GAI utilization, c

SUBMITTER: Ganjoo R 

PROVIDER: S-EPMC11636326 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature