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🎓 Faculty & Department AI Initiative

AI4BTP — AI Assistance for
Faculty & Educators

Empowering faculty across all academic disciplines to integrate modern AI tools, curriculum modules, automation workflows, and machine learning solutions through 1-on-1 collaboration with CSAI student mentors.

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1-on-1 Student Mentorship

Work directly with skilled CSAI club students who provide dedicated assistance with prompt engineering, LLM integration, AI tools, and personalized technical walkthroughs.

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Curriculum & Course Design

Incorporate ethical AI assignments, interactive coding sandboxes, automated grading assistance, and cutting-edge domain examples into your syllabus.

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Research & Workflow Automation

Streamline departmental data analysis, document parsing, Python scripting, and machine learning pipelines with student-supported rapid prototyping.

Demo Videos & Walkthroughs

Explore recorded walkthroughs and case studies demonstrating student-faculty AI collaboration.

Demo 1 • Coming Soon

AI4BTP Program Overview & Faculty Walkthrough

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Program Introduction & Consultation Workflow

A step-by-step tour showing how faculty can prepare for a consultation, common topics covered, and live assistance examples.

Demo 2 • Coming Soon

AI in the Classroom — Case Study & Live Tools

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Practical AI Integration Case Study

Demonstrating real-world AI applications built with faculty partners, including automated rubric assists and interactive course aids.

Faculty AI Consultation Scheduler

Select an available time slot below to reserve a 1-on-1 meeting with CSAI student mentors.

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Faculty Information & Session Goals

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Consultation Confirmed!

Your appointment has been successfully scheduled with the CSAI student mentor team.

Reference ID: AI4BTP-8492
Focus Area: Curriculum & Course AI Integration
Date & Time: Thu, Oct 24 (1:00 PM - 1:45 PM)
Location / Mode: In-Person — Mercer Campus CSAI Lab
Faculty Contact: Prof. Jenkins • sjenkins@mccc.edu
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💡 What to Expect

  • 45-Minute Dedicated Session: Focused, collaborative 1-on-1 time with student mentors.
  • Live Co-Working & Demos: We test prompts, write sample code, or build workflows together in real-time.
  • Resource Takeaways: Receive customized documentation, code repositories, or reference links after each meeting.
  • No Prior Coding Required: We adapt our guidance to any comfort level and discipline.

🛠️ Student Skill Areas

Our student team has hands-on experience across a broad spectrum of AI tools and domains:

ChatGPT & Claude Google Gemini API Python & Pandas PyTorch / TensorFlow Prompt Engineering Computer Vision NLP & Text Analysis Unity 3D / Simulation Automated Grading LaTeX & Markdown

🏫 Department Workshops

Interested in hosting a custom AI workshop for your entire department or faculty division?

Contact CSAI Leadership

Frequently Asked Questions

Common questions about the AI4BTP faculty consultation program.

Mentors are upper-level Mercer CSAI club members with demonstrated project experience in artificial intelligence, machine learning, Python development, and applied software engineering. Mentors work under the guidance of club faculty advisors.
Not at all! Consultations are designed for educators from all academic fields—including humanities, social sciences, business, arts, and STEM. We tailor every discussion to your specific goals and comfort level.
No. AI4BTP is a free collaborative initiative provided by the CSAI club to foster cross-disciplinary innovation and support faculty excellence across campus.
In-person sessions are held at the CSAI Computer Science Lab in the Engineering & Technology (ET) Building on the Mercer campus. If you prefer to meet in your departmental office, you can note that in the session goals when booking.
Yes! Students can assist in creating sample prompt challenges, drafting AI policy guidelines for coursework, building starter code repositories, or configuring sandbox environments for student exercises.