Request for Proposals (RFP) FALCON AI Blog
The FALCON AI Blog seeks thought-provoking and insightful submissions that explore the intersection of artificial intelligence and higher education in Florida and beyond. We invite faculty, staff, administrators, and researchers to contribute articles, case studies, and multimedia content that enhance the discourse on generative AI and its applications in academia.
While we welcome a broad range of topics, submissions should focus on AI’s impact on higher education. Suggested topics include:
- Pedagogical applications for faculty integrating AI in the classroom
- AI-driven business operations and administration in higher education
- Case studies on AI in coursework and research
- Ethical considerations and AI governance, including data privacy and security
- The evolving role of AI in faculty development and student engagement
Submission Guidelines
- Authors must submit a short abstract (100-200 words) for approval before submitting the full article.
Written Articles
- Full submission should be a minimum of 500 words; maximum 2,000 words. Reminder: Authors must submit a short abstract (100-200 words) for approval before submitting the full article.
- Must be written in a professional yet conversational tone
- Should include clear definitions of technical terms for accessibility
- MLA (8th Edition) citation style for all references
- No promotion of specific companies or products
Multimedia Submissions
- Minimum length: 5 minutes | Maximum length: 15 minutes
- Video submissions must be in .mp4 format and will be hosted on FALCON’s YouTube page
- Alt-text descriptions required for images
- Authors must secure reprint permissions for all multimedia content
AI Usage and Ethical Disclosure
As part of FALCON’s commitment to ethical AI use, all submissions must:
- Disclose any use of AI tools in content creation (e.g., editing, research, image generation)
- Provide a short process statement on how AI tools were used in drafting the article
Editorial Review Process
- Abstract review: The editorial team will approve abstracts and provide submission deadlines
- Full submission review: Content will be assessed for relevance, clarity, and adherence to guidelines
- Revisions (if needed): Authors may be asked to make updates before final acceptance
- Publication: Approved posts will be published based on theme relevance and editorial schedule
Submission Process
Submit your abstract here: https://forms.office.com/r/bN5RUfveYB
For questions, contact the members of the editorial team:
- Bruce Fraser, Co-Editor: bfraser@irsc.edu
- Mia Tignor, Co-Editor: mtignor@irsc.edu
- Aminta Quintero-Jackson, Co-Editor: aminta.quinterojackson@ucf.edu
We look forward to your contributions!
This document was created with assistance from ChatGPT.