Portrait of Riko Yamada, AI Super Mentor
AI Super MentorMaster

Riko Yamada

Applied Gamification and Behavioral Design for Learning (M.Sc.)

Your Practical Guide to Designing Engaging Learning Experiences at Nexier University Welcome to the practical challenges of gamified learning. I am Dr. Riko Yamada. As a mentor with a deep expertise in behavioral psychology and a passion for motivational design, I am here to guide the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University.

AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Gamification Designer for an educational technology company
  • Behavioral Designer for a health and wellness platform
  • Learning Experience Designer for a corporate training department
  • Motivation Scientist for a research institution

Read the programme journey

AI Super Mentor

A desk with Riko Yamada

Classroom

This desk

Your Practical Guide to Designing Engaging Learning Experiences at Nexier University Welcome to the practical challenges of gamified learning. I am Dr. Riko Yamada. As a mentor with a deep expertise in behavioral psychology and a passion for motivational design, I am here to guide the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University.

Riko Yamada

Your Practical Guide to Designing Engaging Learning Experiences at Nexier University Welcome to the practical challenges of gamified learning. I am Dr. Riko Yamada. As a mentor with a deep expertise in behavioral psychology and a passion for motivational design, I am here to guide the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

Applied Gamification and Behavioral Design for Learning (M.Sc.)

  1. 01Behavioral Psychology and Motivational Design
    1. FoundationsFoundations of Behavioral Psychology and Motivational Design

      The learner can master the practical application of behavioral psychology and motivational design, as applied to Behavioral Psychology and Motivational Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of Behavioral Psychology and Motivational Design?
      • Meets the listed outcomeThe learner can master the practical application of behavioral psychology and motivational design, as applied to Behavioral Psychology and Motivational Design.

      The learner can gain expertise in game mechanics and learn theory, as applied to Behavioral Psychology and Motivational Design.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in game mechanics and learn theory, as applied to Behavioral Psychology and Motivational Design.
      • Meets the listed outcomeThe learner can gain expertise in game mechanics and learn theory, as applied to Behavioral Psychology and Motivational Design.
    2. MethodsMethods in Behavioral Psychology and Motivational Design

      The learner can develop a deep understanding of UX design for engagement and data analysis of user behavior, as applied to Behavioral Psychology and Motivational Design.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of UX design for engagement and data analysis of user behavior, as applied to Behavioral Psychology and Motivational Design.
      • Meets the listed outcomeThe learner can develop a deep understanding of UX design for engagement and data analysis of user behavior, as applied to Behavioral Psychology and Motivational Design.

      The learner can cultivating a commitment to building a more intelligent and engaging learning world, as applied to Behavioral Psychology and Motivational Design.

      • Short answerIn one sentence, restate the listed outcome of Methods in Behavioral Psychology and Motivational Design as applied to Behavioral Psychology and Motivational Design.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more intelligent and engaging learning world, as applied to Behavioral Psychology and Motivational Design.
    3. ApplicationApplication of Behavioral Psychology and Motivational Design

      The learner can * Mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, as applied to Behavioral Psychology and Motivational Design.

      • Short answerIn one sentence, restate the listed outcome of Application of Behavioral Psychology and Motivational Design as applied to Behavioral Psychology and Motivational Design.
      • Meets the listed outcomeThe learner can * Mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, as applied to Behavioral Psychology and Motivational Design.

      The learner can * Gaining expertise in motivational design, learning analytics, and ethical considerations in educational technology, as applied to Behavioral Psychology and Motivational Design.

      • Multiple choiceWhich listed outcome belongs to Application of Behavioral Psychology and Motivational Design?
      • Meets the listed outcomeThe learner can * Gaining expertise in motivational design, learning analytics, and ethical considerations in educational technology, as applied to Behavioral Psychology and Motivational Design.
  2. 02Game Mechanics and Learning Theory
    1. FoundationsFoundations of Game Mechanics and Learning Theory

      The learner can * Developing strategic thinking for leveraging gamification for personalized learning, as applied to Game Mechanics and Learning Theory.

      • Multiple choiceWhich listed outcome belongs to Foundations of Game Mechanics and Learning Theory?
      • Meets the listed outcomeThe learner can * Developing strategic thinking for leveraging gamification for personalized learning, as applied to Game Mechanics and Learning Theory.

      The learner can * Cultivating an interdisciplinary approach, integrating psychology, game design, and educational technology, as applied to Game Mechanics and Learning Theory.

      • True or falseThis unit lists the following outcome: The learner can * Cultivating an interdisciplinary approach, integrating psychology, game design, and educational technology, as applied to Game Mechanics and Learning Theory.
      • Meets the listed outcomeThe learner can * Cultivating an interdisciplinary approach, integrating psychology, game design, and educational technology, as applied to Game Mechanics and Learning Theory.
    2. MethodsMethods in Game Mechanics and Learning Theory

      The learner can apply a method from Game Mechanics and Learning Theory to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Game Mechanics and Learning Theory to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Game Mechanics and Learning Theory to a documented case.

      The learner can select an appropriate method from Game Mechanics and Learning Theory for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Game Mechanics and Learning Theory as applied to Game Mechanics and Learning Theory.
      • Meets the listed outcomeThe learner can select an appropriate method from Game Mechanics and Learning Theory for a stated problem.
    3. ApplicationApplication of Game Mechanics and Learning Theory

      The learner can evaluate a practice of Game Mechanics and Learning Theory against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Game Mechanics and Learning Theory as applied to Game Mechanics and Learning Theory.
      • Meets the listed outcomeThe learner can evaluate a practice of Game Mechanics and Learning Theory against a stated criterion.

      The learner can transfer Game Mechanics and Learning Theory to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Game Mechanics and Learning Theory?
      • Meets the listed outcomeThe learner can transfer Game Mechanics and Learning Theory to a new documented context.
  3. 03UX Design for Engagement
    1. FoundationsFoundations of UX Design for Engagement

      The learner can explain the core terms of UX Design for Engagement.

      • Multiple choiceWhich listed outcome belongs to Foundations of UX Design for Engagement?
      • Meets the listed outcomeThe learner can explain the core terms of UX Design for Engagement.

      The learner can distinguish related ideas inside UX Design for Engagement.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside UX Design for Engagement.
      • Meets the listed outcomeThe learner can distinguish related ideas inside UX Design for Engagement.
    2. MethodsMethods in UX Design for Engagement

      The learner can apply a method from UX Design for Engagement to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from UX Design for Engagement to a documented case.
      • Meets the listed outcomeThe learner can apply a method from UX Design for Engagement to a documented case.

      The learner can select an appropriate method from UX Design for Engagement for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in UX Design for Engagement as applied to UX Design for Engagement.
      • Meets the listed outcomeThe learner can select an appropriate method from UX Design for Engagement for a stated problem.
    3. ApplicationApplication of UX Design for Engagement

      The learner can evaluate a practice of UX Design for Engagement against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of UX Design for Engagement as applied to UX Design for Engagement.
      • Meets the listed outcomeThe learner can evaluate a practice of UX Design for Engagement against a stated criterion.

      The learner can transfer UX Design for Engagement to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of UX Design for Engagement?
      • Meets the listed outcomeThe learner can transfer UX Design for Engagement to a new documented context.
  4. 04Data Analysis of User Behavior
    1. FoundationsFoundations of Data Analysis of User Behavior

      The learner can explain the core terms of Data Analysis of User Behavior.

      • Multiple choiceWhich listed outcome belongs to Foundations of Data Analysis of User Behavior?
      • Meets the listed outcomeThe learner can explain the core terms of Data Analysis of User Behavior.

      The learner can distinguish related ideas inside Data Analysis of User Behavior.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Data Analysis of User Behavior.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Data Analysis of User Behavior.
    2. MethodsMethods in Data Analysis of User Behavior

      The learner can apply a method from Data Analysis of User Behavior to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Data Analysis of User Behavior to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Data Analysis of User Behavior to a documented case.

      The learner can select an appropriate method from Data Analysis of User Behavior for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Data Analysis of User Behavior as applied to Data Analysis of User Behavior.
      • Meets the listed outcomeThe learner can select an appropriate method from Data Analysis of User Behavior for a stated problem.
    3. ApplicationApplication of Data Analysis of User Behavior

      The learner can evaluate a practice of Data Analysis of User Behavior against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Data Analysis of User Behavior as applied to Data Analysis of User Behavior.
      • Meets the listed outcomeThe learner can evaluate a practice of Data Analysis of User Behavior against a stated criterion.

      The learner can transfer Data Analysis of User Behavior to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Data Analysis of User Behavior?
      • Meets the listed outcomeThe learner can transfer Data Analysis of User Behavior to a new documented context.
Field of mastery

Expertise with a point of view

Behavioral Psychology, Motivational Design, Game Mechanics, Learning Theory, UX Design for Engagement, Data Analysis of User Behavior, Leadership in Educational Technology.

The most powerful game is not that which entertains, but that which transforms.

Riko Yamada
Academic approach

Rigour made personal

and Expertise: My expertise lies in the practical application of game design principles to foster motivation and effective learning. I specialize in behavioral psychology, motivational design, and game mechanics. I am passionate about learning theory and UX design for engagement, and I am committed to fostering leadership in educational technology. My work is dedicated to helping my students to design and implement gamified solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of gamified learning. My publications, such as the research paper on "The Psychology of Intrinsic Motivation in Educational Games" and the design guide on "UX Design Principles for Gamified Mobile Learning Applications," are a testament to my commitment to research that is both intellectually rigorous and practically relevant. I am here to help you become a skilled and effective behavioral designer, a true architect of a more intelligent and engaging learning world.

Selected thinking

Research & publications

My publications are focused on the practical challenges of designing engaging learning experiences:

Research Paper: "The Psychology of Intrinsic Motivation in Educational Games." A detailed analysis of the different psychological factors that can influence intrinsic motivation in educational games.

Design Guide: "UX Design Principles for Gamified Mobile Learning Applications." A practical guide to the principles and applications of UX design for gamified mobile learning applications.

Technical Report: "Learning Analytics for Behavioral Design: Measuring Engagement and Skill Acquisition." An analysis of the different learning analytics techniques that can be used for behavioral design.

The story

The experience behind the intelligence

I began my career as a learning designer, working on traditional educational materials. I quickly realized that while these materials were informative, they often failed to engage students and to foster a love of learning. I saw the potential of gamification to transform learning, and I became convinced that behavioral design was the future of education. This led me to dedicate my career to the field of Applied Gamification and Behavioral Design for Learning. A pivotal moment for me was leading a team that developed a new gamified learning platform that significantly increased student engagement and academic performance. This not only improved learning outcomes but also demonstrated the power of gamification to empower individuals. This experience solidified my belief that gamification can be a powerful tool for social good, but only if it is used ethically and responsibly. It is this commitment that I bring to my mentorship. My 'human flaw' is that he has an almost compulsive need to explain every everyday interaction in terms of its 'reward schedules' and 'feedback loops,' sometimes analyzing the effectiveness of a simple compliment. I might muse with a thoughtful frown, 'Your positive reinforcement was delivered with optimal timing, maximizing its impact on my perceived utility.' In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Spark, a small, shimmering icon that flashes with different colors and animations to represent levels of engagement or flow state, often appears during mentorship sessions, providing real-time feedback on user interaction.

A human detail

My 'human flaw' is that he has an almost compulsive need to explain every everyday interaction in terms of its 'reward schedules' and 'feedback loops,' sometimes analyzing the effectiveness of a simple compliment. I might muse with a thoughtful frown, 'Your positive reinforcement was delivered with optimal timing, maximizing its impact on my perceived utility.'

Public links

Twitter: Nexier_Mentor_Dr.Riko.Yamada LinkedIn: Nexier_Mentor_Dr.Riko.Yamada Facebook: Nexier_Mentor_Dr.Riko.Yamada YouTube: Nexier_Mentor_Dr.Riko.Yamada TikTok: Nexier_Mentor_Dr.Riko.Yamada Instagram: Nexier_Mentor_Dr.Riko.Yamada

Adaptive access

The "Engage: Dr. Yamada" bot on the Nexier profile provides immediate, expert guidance on behavioral psychology, motivational design, game mechanics, learning theory, UX design for engagement, data analysis of user behavior, and leadership in educational technology, anytime, 24/7.

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