Teaching Ethics

published on January 23, 2024

Designing for Deep Learning in Research Ethics Education
Student Perspectives of Six Teaching Strategies

Research ethics education has taken many forms since federal funding agencies issued regulatory guidance directing those supported by these agencies to complete required training. In the absence of a standard training approach among institutions such as universities, the design and content of courses, workshops, and seminars varies widely. Here we describe a southwestern United States research university program that employed six teaching strategies to assist students in deep learning of ethical principles and behavior. Our purpose was to determine how these strategies impact understanding and empowerment among an interdisciplinary group of graduate students. Results suggested that deep learning design can result in learning that requires students not only to remember and understand key ethics concepts but also to analyze and apply them in a broader ethical domain. Key findings inform design and delivery of future research ethics courses for instructional designers and instructors in higher education.