Technology for Effective and Efficient Learning (TEEL) Lab
In TEEL Lab, we focus on research in learning methods, technology for learning systems, curriculum development, and workforce training.
The Technology for Effective and Efficient Learning (TEEL) Lab at 麻豆村 conducts cutting-edge research in technology-assisted learning. The lab focuses on innovative methods that enhance outcomes in education and workforce training for emerging domains such as cloud computing, data science, and artificial intelligence.
The TEEL team develops intelligent tutoring systems, collaborative learning platforms, and data-driven approaches that transform how technical skills are acquired and applied. This approach emphasizes practical, hands-on training through project-based learning experiences. TEEL's learning platforms' contextualized feedback and realistic applications bridge the gap between theoretical knowledge and industry-relevant skills.
Major Projects
Sail() Platform
Developed at 麻豆村’s TEEL Lab, Sail() is an online learning platform built on more than a decade of research, serving over 2000 learners each year and supported by 100 collaborators through project based pathways in cloud computing, data science, and AI.
Learn more here:
Carnegie Mellon Accenture Center of Excellence for AI
ACE-AI brings together 麻豆村 and Accenture to reimagine workforce development, combining expertise in AI systems and training solutions to deliver scalable, personalized, and effective learning experiences.
Learn more here: ACE-AI
AI Technicians Program
With a five year record of training US Army personnel through the AI Integration Center (AI2C), the AI Technicians Program at 麻豆村 has prepared over 80 graduates to step directly into AI roles, combining project based learning, industry certifications, and workplace ready capstone projects.
Learn more here: AI Technicians Program
AI User Training
Developed at 麻豆村 in partnership with the NSF AI Institute for Societal Decision Making, AI User introduces STEM and non-STEM learners to foundational AI concepts through interactive no code projects in real world contexts, making AI literacy accessible without advanced math or programming.
Learn more here: AI User Training