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.   Objectives In this course, you will: Evaluate AI tools for their effectiveness in instructional and administrative tasks, ensuring they align with educational goals. Identify ethical considerations related to AI in education, including bias, transparency, data privacy, and equitable access. Develop strategies for integrating AI into teaching and professional workflows to enhance efficiency and student engagement. Analyze feedback and reflection data to assess AI’s impact on teaching practices and make informed decisions about its use. 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.   Target Audience: All educators who are interested in understanding and leveraging AI tools in their practices.   Educators will: Implement AI tools and strategies based on evidence. Prioritize the needs of vulnerable learners when using AI. Understand the importance of ongoing evaluation and monitoring of AI in education. Understand how to leverage the benefits of AI use in education. 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.   Target Audience: All educators who are interested in understanding and leveraging AI tools in their practices.   Educators will: Implement AI tools and strategies based on evidence. Prioritize the needs of vulnerable learners when using AI. Understand the importance of ongoing evaluation and monitoring of AI in education. Understand how to leverage the benefits of AI use in education. Read more

This course explores the foundational concepts of artificial intelligence (AI) and its potential educational applications. Educators will learn to integrate AI tools effectively and ethically into teaching, learning, and administrative processes while fostering AI literacy among students.   Target Audience: All educators interested in understanding and leveraging AI tools in their practices.   Educators will  Learn practical AI skills Gain critical awareness of AI opportunities and challenges Develop confidence in using AI as a tool to enhance teaching and learning. Read more

This course is about the vital role educators play in the age of AI. While technology is changing fast, the heart of teaching is still human. Teaching is built on connection, collaboration, and empathy. Educators help decide how AI is used, from shaping school policies to making day-to-day classroom choices, so it stays ethical, fair, and focused on students. AI should be a helpful partner that supports learning, not a replacement for the relationships that matter most. Equity means ensuring that AI is shaped by diverse perspectives, including those of students, educators, families, and communities, so it serves every learner well."By continuing to learn, adapt, and speak up, educators can make sure AI advances in ways that reflect our shared values.   Educators Will: Understand the importance of active participation in decision-making regarding transformational technologies, including AI. Design and implement instructional strategies that foster collaboration and engagement in learning with AI, prioritizing effective and equitable outcomes. Advocate for and influence AI implementation and policy decisions within educational institutions and at higher levels. Utilize AI tools to create and enhance diverse and collaborative learning environments that cater to all students. Develop and apply strategies for ethical AI use, ensuring that AI supports human agency and promotes equitable outcomes for all learners. 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. By the end of this course, you will be able to: Define the digital divide and analyze its impact on education. Identify opportunities presented by AI in the educational landscape. Evaluate policies related to AI in education for their promotion of active learning, inclusion, and diversity. Assess how AI policies address biases in educational technology. Determine the extent to which AI policies ensure Universal Design for Learning. Read more