Exploring Generative AI for Learning Design
Use generative AI to brainstorm ideas, create learner personas, and draft course materials while strengthening your learning design process.
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Showing 201–225 of 276 items
Use generative AI to brainstorm ideas, create learner personas, and draft course materials while strengthening your learning design process.
Explore how sleep impacts health and understand major sleep disorders, barriers, and treatment across diverse populations and life stages.
Evaluate how AI integration is reshaping jobs, workplace culture, and the employer-client relationship while driving strategic innovation.
Build skills to lead healthcare quality improvement initiatives and foster a strong culture of safety in clinical environments.
Explore finance tools and valuation concepts used in pricing, investment, and strategy decisions in healthcare organizations.
Learn how to evaluate and measure data quality at each stage of the data lifecycle using metrics, tools, and real-world applications.
Use mindfulness to build dignity, connection, and compassion through contemplative practices grounded in psychology, critical theory, and contemplative studies.
Apply debugging strategies and data science tools to analyze real-world datasets and document your coding process in a capstone project.
Understand how IIoT is transforming manufacturing through real-world applications, infrastructure planning, and business integration strategies.
Discover how dietary choices impact personal and environmental health using data on ingredients, meals, and food-related behaviors.
Learn to use AI tools like ChatGPT to analyze, visualize, and interpret data for real-world applications and projects.
Learn GIS principles and tools to analyze real-world sustainability challenges using spatial data aligned with UN SDG goals.
Explore generative AI tools for design and music, analyze AI-generated media, and reflect on responsible creative applications.
Analyze athletic performance and recovery using wearable tech, physiological principles, and Python programming on sports datasets.
Use logistic regression and Python to model and predict sports outcomes while examining analytics in gambling and society.
Deepen your understanding of C programming and build portable, efficient algorithms using types, operators, recursion, and preprocessing.
Explore machine learning applications that enable autonomy in vehicles and robots, from perception to decision-making.
Learn to fit statistical models using Python and apply regression, Bayesian, and mixed-effects methods to real data.
Understand translational research stages and how lab discoveries become real-world health interventions.
Explore how health research influences policy by evaluating outcomes and translating findings into real-world decisions and practice.
Use Python and sports datasets to explore team performance and become a hands-on producer of sports analytics.
Improve posture and movement using the Alexander Technique to reduce tension, promote calm, and align with your body's natural form.
Gain UX insights at scale using analytics, A/B testing, and remote studies to improve user-centered design decisions.
Examine the history of police violence, systemic racism, and accountability in the U.S., and explore community-driven approaches for justice and reform.
Discover how AI powers creative design and optimization using generative tools, algorithms, and advanced modeling techniques.