AI For Learning
The AI for Learning page helps Furman students navigate generative AI thoughtfully and ethically throughout their academic journey. Explore a student guide to understanding AI syllabus policies, academic integrity considerations, guidance on citing and acknowledging AI use, the Furman Libraries’ AI research guide, and connections between AI and career competencies. Whether you’re clarifying course expectations or building skills for life after Furman, you’ll find the resources needed to use AI with integrity and purpose.
AI For Learning
Student Guide to Understanding AI Syllabus Policies
A student-focused guide to navigating AI use policies across Furman courses. It explains the difference between AI and generative AI, outlines syllabus-level policy categories (from “No AI” to “AI Yes”), details assignment-level permissions, and covers proper citation and disclosure practices. It concludes with academic integrity scenarios to help students test understanding. Students will learn how to interpret professor expectations and make responsible decisions about when and how to use AI tools.
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Academic Integrity
Furman’s official Academic Integrity page outlines the university’s foundational values of honesty, trust, respect, fairness, and responsibility, along with student responsibilities for upholding ethical academic conduct. Because Furman’s default assumption is that no generative AI use is permitted unless a professor explicitly allows it, this page serves as an essential reference for understanding how academic misconduct — including unauthorized AI use — is defined and addressed.
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Citing and Acknowledging AI
A practical reference for students on when and how to cite or acknowledge generative AI use in academic work. It distinguishes between citation and acknowledgment, and provides templates, style-guide guidance, and examples, including how to properly credit models accessed through BoodleBox.
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Furman Libraries’ AI Research Guide
A comprehensive research guide from Furman Libraries supporting students, faculty, and staff in exploring AI-related scholarship and ethical AI use. The guide compiles library resources, recommended AI tools, citation guidance, current news, and links to key Furman policies and teaching resources — serving as a central starting point for AI research and responsible practice across campus.
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AI and Career Competencies
A NACE Job Outlook 2026 Spring Update report showing that employer demand for AI skills in entry-level jobs has nearly tripled since fall 2025, with over one-third of entry-level roles now requiring AI proficiency. The article explores how AI is reshaping — rather than replacing — early career work and outlines implications for higher education, career services, and students preparing to enter the workforce.
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Furman University Career Guide
The latest edition of Furman’s Career Guide includes guidance on Optimizing with AI.
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