CODE.org Self Paced Professional Learning MCCE Year Long Professional Learning MCCE Mentor Support
FREE FOR MARYLAND PUBLIC SCHOOL EDUCATORS!
CODE.ORG CS Principles Self Paced Professional Learning
This self-paced online module is intended as an introduction to CS Principles and the resources we offer for 9th-12th grade teachers. Through reading, viewing videos, completing interactive puzzles, and reflecting on your learning, you will develop your own understanding while preparing to teach computer science in your classroom. Designed to be completed in 3.5 hours, this new self-paced professional learning option is meant to support teachers who are unable—or not ready—to participate in the facilitator-led professional learning program.
CODE.ORG CS Discoveries Self Paced Professional Learning
This self-paced online course is intended as an introduction to CS Discoveries and the resources we offer for 6-10th grade teachers. Through reading, viewing videos, completing interactive puzzles, and reflecting on your learning, you will develop your own understanding while preparing to teach computer science in your classroom. Designed to be completed in three hours, this new self-paced professional learning option is meant to support teachers who are unable—or not ready—to participate in the facilitator-led professional learning program.
CODE.ORG CS Fundamentals Self Guided Workshops
This self-paced online course is designed for elementary school educators who are interested in implementing and teaching CS Fundamentals courses to their students. Computer Science Fundamentals courses are designed for educators who teach grades K-5 and want to offer accessible and equitable introductory computer science courses to their students. This online option is meant to support teachers who are unable—or not ready—to participate in the facilitator-led professional learning program.
CODE.ORG Teaching AI and Machine Learning
This self-paced online module is intended as an introduction to our optional unit on AI and Machine Learning.
Learning objectives:
Through completing this online module, participants will:
Get an introduction to artificial intelligence and machine learning.
Train a machine learning model using AI Lab.
Engage with machine learning apps.
Consider real-world implications of AI and machine learning.
Explore end of chapter projects.
MCCE Academic Year CS Professional Learning
We provide practical, hands-on experiences that translate directly into the classroom. The MCCE supports teachers, faculty, counselors, administrators, and local school systems to prepare Maryland's classrooms to teach high-quality computer science. We encourage teachers to continue to grow in this rapidly changing field and to continue to learn new methods, applications, and integration of computing concepts.
MCCE Mentor Support
New to teaching CS? MCCE can connect you to a mentor for academic year support! It’s FREE!