Teaching & Learning
- The university states broad values for AI use that emphasize human cognition, student growth, ethical use, transparency, and integrity, but it does not define a specific rule for student use of AI in graded coursework or assignments
When engaging with AI, the values that govern our interactions include an emphasis on human intelligence, human-centered relationships, and integrative approaches wherein technology supports and enhances, rather than replaces, human cognition.
We are guided by five core considerations for all communities:
* Build practices of transparency and trust
* Promote ethical and responsible use
* Center student growth and learning
* Develop critical AI literacy among students, faculty, and staff
* Maintain high standards of integrity
- However, it does not set a specific policy for students using AI as a tutor, study aid, or other non-graded learning support
- The university endorses AI literacy and says AI should support rather than replace human cognition, while centering student growth and learning
When engaging with AI, the values that govern our interactions include an emphasis on human intelligence, human-centered relationships, and integrative approaches wherein technology supports and enhances, rather than replaces, human cognition.
We are guided by five core considerations for all communities:
* Build practices of transparency and trust
* Promote ethical and responsible use
* Center student growth and learning
* Develop critical AI literacy among students, faculty, and staff
Research
Academic Integrity
Institutional & Administrative
- The provided sources do not define specific rules for faculty or staff uses such as grading, feedback, lesson planning, or administrative communications
- The university's AI values statement applies to faculty and staff and says all communities should develop AI literacy, use AI ethically and responsibly, and maintain integrity
We are guided by five core considerations for all communities:
* Build practices of transparency and trust
* Promote ethical and responsible use
* Center student growth and learning
* Develop critical AI literacy among students, faculty, and staff
* Maintain high standards of integrity
AI Resources for Faculty and Staff
- The sources also identify an administrative role focused on AI and learning integrity, but they do not provide a detailed governance roadmap or committee structure
- Eckerd has an institution-level AI values statement that frames its approach to generative AI around the college mission, human-centered use, transparency, ethical responsibility, student learning, AI literacy, and integrity
Eckerd College’s vision for Generative Artificial Intelligence (AI) technology is anchored to our mission as a liberal arts college and our cultivation of critical thinking, civic responsibility, and community.
When engaging with AI, the values that govern our interactions include an emphasis on human intelligence, human-centered relationships, and integrative approaches wherein technology supports and enhances, rather than replaces, human cognition.
We recognize the transformative potential of AI for higher education, while also recognizing the ethical, legal, environmental, and social challenges it poses.
We are guided by five core considerations for all communities:
* Build practices of transparency and trust
* Promote ethical and responsible use
* Center student growth and learning
* Develop critical AI literacy among students, faculty, and staff
* Maintain high standards of integrity
Questions? Please contact Alexis Ramsey-Tobienne, Director of Writing Excellence and Assistant Dean for AI and Learning Integrity at ramseyae@eckerd.edu
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Eckerd College's AI Policies
Eckerd College has defined AI policies in 4 of 12 categories, with an overall coverage score of 33%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.