Innovations in AI for Education

Discover how AI is changing educational technology and collaboration.

  • Research-driven AI solutions for K-12 and higher education
  • Collaborative innovation with educators and technologists
  • AI model development, training, and fine-tuning for education
Explore Projects

Our AI Projects

Explore our innovative AI projects that are reshaping the future of education through intelligent technology solutions.

TeacherServer AI Platform
TeacherServer AI Platform

TeacherServer is a free platform with over a thousand AI tools built for educators, from K-12 to higher education. It runs on a local server for speed and privacy, so no data is stored or shared. Teachers can create lesson plans, worksheets, quizzes, and more, while faculty use tools for research, feedback, and course design. The platform follows Department of Education privacy guidelines and helps educators save time while focusing on teaching.

  • 1000+ AI tools for educators
  • Local server deployment for privacy
  • 3 million plus users
https://www.teacherserver.com View
AI Powered Dropout Monitor
AI Powered Dropout Monitor

The Course Dropout Monitor connects to Canvas to spot early signs of student risk using live, anonymized course data. It alerts faculty when students show patterns like missed assignments or sudden grade drops, giving time to step in with support. The system is secure, FERPA compliant, and designed to reduce surprise withdrawals while helping instructors focus on teaching instead of tracking data.

  • Canvas LMS and AI integration
  • Real-time risk pattern detection
  • U.S. Utility Patent Awarded
https://coeserver.com/canvas/ View
AI-Integrated IES Practices
AI-Integrated IES Practices

The AI-Integrated IES Practices platform uses AI and a RAG approach to make practice guides searchable and interactive. Educators, students, and higher ed faculty can query these guides for evidence-based strategies, research-informed lessons, and classroom practices. The system imports guides into a vector database, allowing users to explore recommendations, filter by topic or keyword, and receive practical guidance grounded in research and expert consensus.

  • RAG AI training for interactive guide searches
  • Thousands of pages from all IES practice guides
  • Research-based lessons & strategies for K-12 and higher education
https://coeserver.com/rag/ View
Student Success Predictor
Student Success Predictor

Predictive analytics model that identifies at-risk students early and recommends intervention strategies to improve academic success rates and retention.

  • Early warning system algorithms
  • Intervention strategy recommendations
  • Academic performance tracking
Last updated: October 2024 View

Our Team

Meet the innovative minds behind our AI education projects, combining expertise in technology, education, and research.

Dr. Sarah Johnson
Dr. Sarah Johnson

AI Research Director

Leading AI researcher with 15+ years experience in educational technology. Specializes in machine learning applications for personalized learning and curriculum optimization.

Prof. Michael Chen
Prof. Michael Chen

Data Science Lead

Expert in educational data mining and predictive analytics. Develops innovative solutions for student success prediction and learning behavior analysis.

Dr. Maria Rodriguez
Dr. Maria Rodriguez

Education Technology Specialist

Bridges the gap between AI technology and educational practice. Focuses on user experience design and implementation of AI tools in classroom settings.

Contact Us

Get in touch with our AI Lab team to learn more about our projects, collaboration opportunities, or research partnerships.

USF College of Education Building

Visit Our Lab

Located in: University of South Florida, College of Education
Address: 4110 USF Apple Dr, Tampa, FL 33620
Email: unal@usf.edu
Website: coeserver.com