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Explore the resources below to further enhance your understanding of this professional learning module.
Explore the resources below to further enhance your understanding of this professional learning module.
Glossary
Adaptive Learning Systems - Computer programs that change what they show or how they teach based on how a student is doing.
Algorithm - A set of rules a computer follows to solve a problem or make a decision.
Artificial Intelligence (AI) - refers to the simulation of human intelligence processes in machines, enabling them to perform tasks that typically require human-like cognitive functions such as learning, problem-solving, and decision-making.
Augmentation vs. Automation - Augmentation refers to AI supporting human abilities; automation refers to replacing them entirely.
EdTech (Educational Technology) - Tools like apps, websites, or software that help teachers teach and students learn.
Human-centered design - An approach to problem-solving that places real human needs, emotions, and contexts at the center of design decisions.
Learning Analytics - Using data (like quiz scores or time spent on tasks) to understand how students learn and how to help them better.
Machine Learning (ML) - A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.
Take It Further
Ready to go beyond the core content? This section offers curated articles, videos, and tools to deepen your understanding, spark new ideas, and help you apply what you’ve learned in real-world contexts. Click each link to open the resource in a new tab.
📖 Read and Reflect
📖 Read and Reflect
🎥 Watch and Learn
🎥 Watch and Learn
•Debunking the Fear: Why AI Belongs in the Classroom - Despite concerns surrounding AI, it can play a powerful role in higher education, enhancing and complementing learning.
•Embracing AI in K-12 Education: Turning Fear into Opportunity - This piece guides K–12 educators on how to transform apprehension about artificial intelligence into enthusiasm, showing why AI shouldn't be feared but embraced.
•What’s the Catch: Risks and Concerns of Using AI in Education - Read the article to know about the main risks posed by AI in education and if there are ways to steer the technology wisely.
Podcast Episode: The AI Education Conversation "How Stanford is Empowering K-12 Ed Leaders with AI Tools"
🎥 Episode Run Time: 1hr. 26 min.
📚 For Further Study:
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