Upcoming Sessions
-
June
20
KRAA:PGP:9: Rank I July 2026 Cohort Registration
Starting:06/20/2026 @ 10:00 AM (GMT-04:00) Eastern Time (US & Canada)Ending:06/20/2026 @ 01:00 PM (GMT-04:00) Eastern Time (US & Canada)Type:Single-day Session -
June
20
KRAA:PGP:9: Rank I July 2026 Cohort Registration
Starting:06/20/2026 @ 10:00 AM (GMT-04:00) Eastern Time (US & Canada)Ending:06/20/2026 @ 01:00 PM (GMT-04:00) Eastern Time (US & Canada)Type:Single-day Session
See All Upcoming Sessions
Multilingual learners (MLs) have unique needs when it comes to demonstrating their understanding and knowledge in an academic setting. Creating assessments that provide MLs with opportunities to successfully demonstrate their learning is one of the key skills that teachers of MLs need to master. Assessments are one of the most important tools educators use to gather data that will drive best practices in their classroom instruction. To accurately assess MLs, teachers must identify the most appropriate tools to evaluate the reliability of assessments and create appropriate accommodations for their students. Read more
This course is designed to introduce educators to the unique learning needs and challenges of today’s Multilingual learners (MLs). More than 55% of teachers in the United States have at least one ML in the classroom, making it critical for all educators to become familiar with the important roles that parent and community involvement, legal protections and policies, advocacy, and community organizing play in supporting these students in learning core academic content. Read more
This course explores key principles for adopting Artificial Intelligence (AI) in education with a focus on evidence-based adoption practices, valid research, and attention to diverse and vulnerable learner needs. The emphasis is on the importance of rigorous research, ongoing evaluation, and educator involvement to ensure that AI adoption in education is beneficial, equitable, and aligned with the needs of all learners. Read more
This course explores how educators can effectively leverage AI to enhance their professional practice, from classroom instruction to administrative tasks. Participants will build AI literacy, navigate ethical considerations, and apply practical strategies for integrating AI tools into their work. By the end of the course, educators will be equipped to use AI responsibly and advocate for its equitable and practical implementation in their educational settings. Target Audience K-12 and higher education educators interested in understanding and leveraging AI tools in their teaching practices. Read more
Artificial Intelligence (AI) is rapidly transforming everything around us. As educators, we stand at a crossroads; we can either passively adopt AI or actively guide its integration. This course dives beyond the surface of AI in education by equipping you with the critical knowledge and practical strategies to navigate this evolving landscape. Read more
The digital divide significantly impacts student success, especially for underserved groups. Artificial intelligence has the power to both worsen and lessen these inequalities, making careful development, use, and evaluation essential. Educators will explore how to ensure fair access to AI, protect student data, and recognize bias in AI systems. This module also prepares educators to develop and advocate for rules that promote human-centered, inclusive, and culturally relevant AI in education. The goal is for all students to benefit from AI without increasing existing disadvantages. Read more
Shopping Cart
Your cart is empty