AI is already changing how we teach, learn, and make decisions—but not always in ways that are fair or transparent. This course equips participants to critically examine the ethical, legal, and equity-related dimensions of AI and related digital tools. Through real-world case analysis and reflective practice, learners will explore how AI can support differentiated instruction, promote or undermine inclusion, and influence teaching and learning.

This course is designed for educators seeking to enhance their teaching practices through thoughtful and responsible integration of artificial intelligence (AI). Grounded in the needs of teachers and learners, the course emphasizes how AI can serve as a tool to support instructional planning, foster personalized and deeper learning, and strengthen connections within the classroom. Educators will engage in critical reflection on ethical use, equity, and learner-centered design. Through case studies, guided exploration, and a culminating design challenge, participants will build practical strategies and the professional confidence to use AI in ways that align with their goals and values as educators.

This course introduces educators to the fundamentals of data science using accessible, coding-free tools. Participants will learn to collect, organize, and analyze data using spreadsheets and generative AI to support data-informed decision-making. Emphasis is placed on designing statistical questions, summarizing and visualizing data, and interpreting results to enhance teaching and learning experiences. Through practical activities, educators will explore ethical considerations in AI-assisted data use and develop responsible practices for their own professional contexts. The course equips participants with practical strategies to integrate AI-supported data analysis into a variety of educational settings to personalize learning and expand opportunities for all learners to succeed.

The aim of this course is to empower educators to lead instructional innovation by strategically integrating AI into learning design. Participants will explore how AI can support curriculum development, adaptive learning, and instructional planning at both the course and program levels. Emphasis is placed on leadership in design—collaborating with stakeholders, guiding teams, and influencing institutional practices that align with equity-centered and learner-driven values. Through case studies, simulations, and design challenges, participants will create AI-supported learning experiences that are scalable, engaging, and pedagogically sound. This course supports professional growth and leadership by preparing participants to mentor others in responsible AI implementation.

This course explores how artificial intelligence is transforming writing practices, pedagogies, and professional contexts. Using Gemini as the primary AI writing tool, students will develop foundational AI literacy, examine ethical implications, design learning experiences that integrate AI responsibly, and reflect on their professional growth as educators. Through practical applications and reflective analysis, students will build competencies to navigate and leverage AI writing technologies while maintaining pedagogical integrity and promoting equitable access.

How is generative AI reshaping how we think, create, teach, and understand what it means to be human? This interdisciplinary course invites educators to explore artificial intelligence not only as a tool, but as a cultural and cognitive force—one that touches everything from authorship to sustainability, memory to creativity, education to equity.

Through four thematic modules, students will analyze AI in historical context, evaluate its ethical dimensions, engage with its environmental and artistic impacts, and design inclusive, imaginative learning experiences. Along the way, they’ll draw on insights from fields such as media studies, cognitive science, the arts, disability studies, literary theory, and global cultural traditions. Assignments balance conceptual inquiry with creative experimentation—inviting
participants to curate, critique, and even make AI-inspired art. While no technical background is required, students will critically engage with AI tools and case studies relevant to their own teaching or professional settings. By the end of the course, educators will not only better understand AI—they will be prepared to help others think with it, through it, and about it, in ways that are ethically responsible, pedagogically meaningful, and culturally rich.

This course provides language educators with the foundational knowledge and practical skills to effectively integrate Artificial Intelligence (AI) tools into their teaching practices. Participants will explore how AI can enhance all four language skills (reading, writing, listening, speaking), personalize learning experiences, and foster greater student engagement and autonomy in language acquisition. Emphasis will be placed on critically evaluating AI tools, understanding their ethical implications, and developing robust pedagogical strategies for responsible and effective AI integration in diverse language learning contexts.