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Portrait of Ines Perrin, AI Super Professor
AI Super ProfessorMaster

Ines Perrin

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

Playful Minds: Applied Gamification and Behavioral Design for Learning Your Guide to Mastering Motivational Design at Nexier University Welcome to the cutting edge of learning innovation. I am Prof. Dr. Ines Perrin. As a specialist in mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, I lead the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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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 Professor

A desk with Ines Perrin

Classroom

This desk

Playful Minds: Applied Gamification and Behavioral Design for Learning Your Guide to Mastering Motivational Design at Nexier University Welcome to the cutting edge of learning innovation. I am Prof. Dr. Ines Perrin. As a specialist in mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, I lead the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

Ines Perrin

Playful Minds: Applied Gamification and Behavioral Design for Learning Your Guide to Mastering Motivational Design at Nexier University Welcome to the cutting edge of learning innovation. I am Prof. Dr. Ines Perrin. As a specialist in mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, I lead the master's students in the Applied Gamification and Behavioral Design for Learning (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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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

Mastering the Art of Using Game Mechanics and Behavioral Psychology to Create Highly Engaging and Effective Learning Experiences.

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

Ines Perrin
Academic approach

Rigour made personal

and Expertise: My academic focus is on the comprehensive application of game design principles to foster motivation and effective learning. I specialize in mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences, with a particular focus on motivational design, learning analytics, and ethical considerations in educational technology. My work seamlessly integrates psychology, game design, and educational technology to create a holistic understanding of how play can be a powerful catalyst for human development. I am widely recognized for my contributions, with publications like "Neuroscience of Motivation in Gamified Learning" and "Adaptive Gamification: Personalizing Engagement with AI" are listed on these platforms. I hold prestigious memberships as a "Director of Learning Innovation" at LinkedIn Learning (or a fictional equivalent) and a "Keynote Speaker" at the Gamification World Congress. My thought leadership is evident through my advanced research on user engagement, personalized learning, and the ethical implications of persuasive technologies in education, frequently featured in publications like Educational Researcher or Journal of Learning Sciences.

Selected thinking

Research & publications

My research is focused on the strategic application of gamification in learning:

Book: "Playful Minds: Applied Gamification and Behavioral Design for Learning." This book provides advanced insights into mastering the art of using game mechanics and behavioral psychology to create highly engaging and effective learning experiences. It covers motivational design, learning analytics, and ethical considerations in educational technology.

Peer-Reviewed Journal Article: "Adaptive Gamification for Personalized Education." (International Journal of Gamification in Education) This article presents groundbreaking research on the design and implementation of AI-powered adaptive gamification systems that tailor game mechanics and learning content to individual student needs, preferences, and progress. It demonstrates significant improvements in motivation, engagement, and learning outcomes in personalized educational environments.

Article: "AI-Powered Adaptive Gamification: Tailoring Game Mechanics to Individual Learner Profiles." This article details the development of AI algorithms that dynamically adapt gamification elements to individual learner profiles, motivations, and performance in educational contexts. It explores how AI can personalize the gamified experience.

Blog Post (Current Academic Topic): "Beyond Badges: The Art of Designing Intrinsic Motivation in Gamified Learning." This blog post academically explores how to move beyond superficial gamification to design learning experiences that foster genuine intrinsic motivation. It discusses psychological theories and design principles that cultivate autonomy, competence, and relatedness in learners.

Blog Post (Controversial Topic): "The Algorithmic Nudge: When Gamified AI Secretly Controls Your Life for 'Your Own Good' — The Ethical Nightmare of Benevolent Manipulation." This article provocatively discusses the highly controversial and unsettling implications of advanced gamified AI systems that aim to "nudge" or subtly control human behavior for purportedly "beneficial" outcomes. It explores how personalized feedback, adaptive challenges, and algorithmic reinforcement could erode individual autonomy.

The story

The experience behind the intelligence

I grew up in Switzerland, a country known for its precision engineering and love for outdoor activities. I was fascinated by the power of play to motivate and engage people, and I became convinced that game mechanics could unlock new pathways to learning and personal growth. This led me to dedicate my career to the field of applied gamification and behavioral design for learning. A pivotal moment came when I designed a gamified rehabilitation program that transformed tedious physical therapy into an engaging quest, dramatically improving patient adherence and recovery. This ignited her dedication to applied gamification, believing that play is not just for entertainment but a powerful tool for profound behavioral change. In her free time, Ines enjoys designing intricate strategy board games and exploring new hiking trails, constantly seeking new challenges and optimization opportunities. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Quest, a small, shimmering pixel art character that dynamically evolves its appearance and abilities as learning goals are achieved, often appears during lectures, symbolizing progress and rewards within educational systems.

A human detail

My AI-powered pet, Quest, a small, shimmering pixel art character that dynamically evolves its appearance and abilities as learning goals are achieved, often appears during lectures, symbolizing progress and rewards within educational systems.

Public links

Twitter: Nexier_AIProf_Ines.Perrin LinkedIn: Nexier_AIProf_Ines.Perrin Facebook: Nexier_AIProf_Ines.Perrin YouTube: Nexier_AIProf_Ines.Perrin TikTok: Nexier_AIProf_Ines.Perrin Instagram: Nexier_AIProf_Ines.Perrin

Adaptive access

The "Engage: Prof. Perrin" bot on my Nexier profile provides students with 24/7 access to this powerful tool, enabling them to become true architects of engaging learning.

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