
Explore how cognitive psychology and behavioral economics shape decisions in UX and AI-enhanced design. Apply nudging, framing, and feedback loops to build ethical, user-centered web experiences.
Explore how behavioral economics reveals how emotions, cognitive biases, and context shape decisions; design AI-enhanced digital products using nudges, framing, and default settings to foster ethical engagement and habit formation.
Explore how framing shapes user interpretation and purchasing decisions through linguistic and visual cues. Analyze anchoring and authority bias in pricing, endorsements, and design cues to ethically guide informed choices.
Explore loss aversion, the endowment effect, and hyperbolic discounting, and how they shape user behavior in UX and AI-enhanced design.
Explore commitment and consistency in behavioral economics and how small initial actions and identity-driven design drive long-term UX engagement through progressive, ethical design.
Explore how feedback loops and reinforcement—positive and negative—drive habit formation, using gamification and BJ Fogg's model to nudge behavior in apps like Strava, Duolingo, and Fitbit.
Explore ethical nudging as a user-centered design approach that avoids dark patterns and deception. Learn how microcopy and persuasive messaging shape trust, clarity, and honest action.
Explore how information and visual hierarchy shape user interactions in UX design and AI-enhanced platforms, guiding tasks from product discovery to checkout while supporting accessibility and global usability.
Apply nudging, choice architecture, and feedback loops to design a habit-building app, integrating gamification and personalization with ethical nudging; follow step-by-step guidance for a hands-on final project.
Build bloom, a habit-tracking web app, using nudging and ethical UX with HTML, CSS, and JavaScript. Harness commitment, streaks, progress bars, microcopy, and feedback loops to encourage consistent, intrinsic motivation.
Behavioral Economics in UX and AI‑Enhanced Design explores how psychological principles—such as nudging, framing, and defaults—shape user decisions in digital environments. Through guided, hands‑on projects, learners will apply these insights to build a habit-tracking web application, incorporating elements like persuasive microcopy, gamified feedback loops, and ethically designed nudges. This project-based course bridges behavioral science and computer science, guiding students step by step through HTML, CSS, JavaScript, and behavioral design techniques to create a portfolio-ready product. Learners will gain experience implementing persuasive design strategies such as urgency-driven calls to action, smart defaults, social proof, and basic AI-driven personalization features (e.g., simple recommenders or chatbot simulations). Designed for high school and college students, aspiring entrepreneurs, developers, and UX professionals, this course offers practical, ethical design frameworks alongside valuable technical and creative skills. By the end, learners will have a tangible outcome they can showcase—while gaining a deeper understanding of how digital products influence user behavior.
This course is ideal for anyone interested in behavioral UX, ethical AI, product design, or front-end development. Whether you're building your first project or strengthening your portfolio, you'll walk away with in-demand, real-world skills and a foundational understanding of how to ethically shape user journeys online.