Badge Overview

AI and Education: Innovation, Impact, and Integrity  AI and Education: Innovation, Impact, and Integrity

Published Public {} Badge Class Data

AI and Education: Innovation, Impact, and Integrity

AI and Education: Innovation, Impact, and Integrity

Issued by Hood College

Badge Description

The AI and Education: Innovation, Impact and Integrity badge offers educators and educational leaders a critical examination of artificial intelligence (AI) in K-12 and higher education. The course explores AI’s innovative potential to personalize learning and streamline administrative tasks, while also addressing its broader impact. Topics like bias, data privacy, misinformation and intellectual property concerns will be covered in this course. Learners will engage in emerging and existing technologies that support instruction, literacy, leadership and school operations. Through hands-on projects, discussions and readings, participants will develop the skills to make informed ethical decisions about technology integration. Legal aspects of digital tools, including copyright and digital citizenship, are also covered. Emphasizing integrity in educational practice, the course prepares learners to critically assess and lead the responsible use of AI in diverse learning environments. At the end of the semester, learners will be equipped to ensure unbiased and thoughtful applications of AI that support the core values of teaching and learning.

Skills Artificial Intelligence Educational technology innovation Ethical Decision Making Leadership in Education Critical Thinking digital literacy

Badge Criteria

This FOUNDATIONAL level badge is equivalent to a 3-credit, master’s-level course. A final grade of B or better is required to earn this badge.

1. Analyze and explain current and emerging technologies, including AI tools, in educational settings. 2. Evaluate and select appropriate technologies for administrative, instructional and literacy purposes. 3. Apply AI and other technologies in practical, educational scenarios through project-based learning. 4. Integrate diverse technologies to enhance inclusion, accessibility and learner engagement. 5. Assess the ethical, legal and social implications of using AI in schools, including issues of data privacy and algorithmic bias. 6. Demonstrate understanding of digital citizenship, copyright and fair use policies as applied in education. 7. Develop implementation plans for integrating AI tools into administrative, instructional or literacy frameworks. 8. Synthesize course learnings to develop a future-ready perspective on education technology.

Aligned Outcomes