
Transform corporate training with "Play to Learn" - the ultimate guide to designing effective learning games. Named among LinkedIn's Top Voices in Education, co-author Karl Kapp reveals why gamification is revolutionizing how Fortune 500 companies train their talent. Ready to make learning addictive?
Sharon Boller, a renowned learning design expert and co-author of Play to Learn: Everything You Need to Know About Designing Effective Learning Games, is president of Bottom-Line Performance, a firm specializing in innovative learning solutions.
With over two decades in instructional design, she co-created the award-winning Knowledge Guru platform, which earned a Brandon Hall Gold award for game-based learning technology. Boller’s work bridges corporate training and educational game design, emphasizing practical, science-backed methodologies. Her insights are featured in industry publications and keynote speeches for organizations like ATD and the eLearning Guild.
Karl M. Kapp, a pioneering gamification strategist and professor at Bloomsburg University, co-authored Play to Learn to merge game mechanics with instructional theory. Known for foundational books like The Gamification of Learning and Instruction, he has shaped modern educational practices through TEDx talks and global consulting. His research-driven approach helps organizations transform traditional training into engaging, interactive experiences.
Together, Boller and Kapp combine decades of hands-on experience, offering actionable frameworks for creating impactful learning games. Play to Learn is widely adopted in corporate and academic settings, recognized for blending creativity with evidence-based design. The book has become a staple in instructional design curricula and professional development programs worldwide.
Play to Learn explores how game-based learning enhances engagement, skill retention, and problem-solving in educational and corporate settings. Sharon Boller and Karl Kapp provide a nine-step framework for designing effective learning games that balance entertainment with educational outcomes, emphasizing iterative play-testing and alignment with instructional goals. The book bridges theory and practice, offering strategies to create immersive, low-pressure learning environments.
This book is ideal for instructional designers, corporate trainers, educators, and anyone seeking to integrate play into learning programs. It’s particularly valuable for professionals grappling with low engagement in traditional training methods, offering actionable insights for fostering collaboration, creativity, and real-world skill application through games.
Yes, for its evidence-based approach to merging play and education. The book combines research, case studies, and a structured design process, making it a practical guide for creating impactful learning experiences. It’s praised for its focus on balancing fun with measurable outcomes, addressing common pitfalls like overemphasis on entertainment.
Key ideas include:
A learning game combines a game goal (e.g., winning) with an instructional goal (e.g., mastering a skill). It uses elements like fantasy and abstraction to teach concepts in a low-stakes environment. Unlike gamification (adding points/badges to existing content), learning games are standalone experiences designed to achieve specific educational outcomes.
The steps include:
The authors advise prioritizing instructional goals first, then integrating engaging elements like storytelling, challenges, and rewards. Games should be “hard fun”—
The book showcases how games improve employee engagement and knowledge retention by allowing practice in risk-free environments. Examples include role-playing exercises for soft skills and puzzle-solving for critical thinking. It also addresses scaling game-based learning across organizations.
Some note the framework’s complexity for beginners or time-constrained teams. Others highlight the challenge of measuring ROI on game development efforts. However, the book counters these by stressing scalability through templates and iterative testing.
With remote work and digital learning expanding, the book’s strategies for virtual collaboration and adaptive skill-building remain critical. Its emphasis on engagement aligns with trends in personalized learning and AI-driven training tools.
While Kapp’s earlier work focuses on gamifying existing content, Play to Learn delves into creating standalone games with embedded learning objectives. Both emphasize engagement but differ in scope: gamification vs. game design.
Feel the book through the author's voice
Turn knowledge into engaging, example-rich insights
Capture key ideas in a flash for fast learning
Enjoy the book in a fun and engaging way
People play games because they enjoy the core dynamic.
If players don't learn, it's not a learning game, regardless of how fun it is.
Winning must be contingent on learning rather than luck.
Poorly designed games yield poor learning outcomes.
Break down key ideas from Play to Learn into bite-sized takeaways to understand how innovative teams create, collaborate, and grow.
Experience Play to Learn through vivid storytelling that turns innovation lessons into moments you'll remember and apply.
Ask anything, choose your learning style, and co-create insights that truly resonate with you.

From Columbia University alumni built in San Francisco
"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."
"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."
"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."
"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."
"Reading used to feel like a chore. Now it’s just part of my lifestyle."
"Feels effortless compared to reading. I’ve finished 6 books this month already."
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"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
"Makes me feel smarter every time before going to work"
From Columbia University alumni built in San Francisco

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Imagine sitting with 30 colleagues playing "A Paycheck Away," a game about homelessness. The room buzzes with energy as players make difficult choices about housing, food, and employment that mirror real-life challenges. When the game ends, participants walk away with profound insights and transformed perspectives. This is the transformative power of learning games. Research consistently shows game-based learning outperforms traditional approaches, producing 11% higher declarative knowledge, 14% better procedural knowledge, and 9% improved retention. No wonder organizations from Microsoft to the U.S. military have embraced games for training everything from technical skills to cultural awareness. What makes learning games so effective isn't just entertainment value - it's their ability to create personalized experiences where learners experiment, review content, try different strategies, and achieve meaningful outcomes. In our attention-scarce world, games capture and maintain focus in ways lectures simply cannot. They create what designers call a "magic circle" - a special space with its own rules that transforms abstract concepts into concrete experiences that stick with learners long after the game ends. When done right, learning games create what psychologists call "state-dependent learning" - knowledge deeply connected to the emotional state experienced during acquisition. This explains why many adults can still recite facts learned through childhood games but struggle to remember content from college lectures. The power of games lies in their ability to transform abstract concepts into concrete experiences. Well-designed learning games provide safe spaces to experiment, fail, and try again - essential elements for deep learning.
Games are structured activities with specific elements that create engaging experiences. A true game contains goals players strive to achieve, challenges creating obstacles, rules governing play, interactivity, feedback mechanisms, quantifiable outcomes, and emotional reactions that keep players invested. The game goal represents the win state - crossing a finish line first or accumulating the most property in Monopoly. The core dynamic answers "What do I need to do to win?" Game mechanics are the rules governing how players achieve goals, while game elements enhance gameplay through visual aesthetics, chance, competition, cooperation, levels, resources, rewards, story, and strategy. Learning games differ from entertainment games by prioritizing instructional goals over game goals. A common mistake is trying to teach too much in one game. Start with specific instructional goals rather than covering entire processes, and keep rules simple to avoid cognitive overload. Scoring in learning games must connect directly to both learning progress and desired job behaviors. Effective scoring follows six principles: keep scoring simple to maintain focus on learning; make scoring transparent so players understand how to succeed; tie scoring directly to learning outcomes; de-emphasize winning; add variability through factors like time or attempts; and reinforce workplace realities by rewarding what matters in the actual job.
Before designing a learning game, establish a foundation by understanding the business problem, defining instructional goals, and developing player personas. Start by identifying the business need driving your game development. Is it to increase sales, improve compliance, reduce errors, or enhance customer service? Articulate how the game will address this need and measure success. For example, a pharmaceutical company might need to improve sales representatives' product knowledge, with success measured through increased sales. Define your instructional goal using Bloom's Taxonomy to determine the required cognitive skill level. Different game types suit different levels - quiz games for recall, scenario-based games for application, strategy games for analysis, and simulations for evaluation. Creating player personas goes beyond typical audience analysis by gathering information about learners' goals, motivations, challenges, and workflows. This helps design a game that resonates with their experiences. Finally, identify constraints that will shape your design - time limitations, devices, technical requirements, development timeframes, and resources.
The magic happens when you transform instructional goals into engaging game designs. Your instructional goal serves as the foundation, while the game goal focuses on the in-game challenge players must overcome. Choosing the right core dynamic is crucial. "Race to the finish" works for time-constrained applications, "territory acquisition" suits business scenarios, "exploration" aligns with compare/contrast objectives, and "collecting" helps with making associations. Game mechanics-the rules dictating how players achieve goals-must be carefully designed. Avoid overly complicated rules that distract from objectives. Match rule complexity to expected play time: mini games need simple rules while longer simulations can handle more complexity. For learning games, cooperation often works better than competition, which can demotivate players. A balanced approach might include team-based play with internal cooperation but external competition. Levels represent defined phases requiring specific actions to progress. They mirror the journey from simple to complex knowledge, keep the learning space manageable, and introduce new information while building on previous skills. Games can reward success with access to new areas, revealing mysteries, or providing power-ups. Badges, trophies, and visible accomplishments encourage specific behaviors and help players feel they've gained something valuable even if they don't win.
A prototype is the first playable version of your game - simplified but containing enough content to evaluate learning value and fun factor. Even for digital games, paper prototyping is recommended as it prevents rework and forces thoughtful consideration of player interactions. Play-testing evaluates how the game "feels" to players, determining if it makes sense, engages users, offers appropriate difficulty, and achieves learning objectives. Plan three phases: concept testing with your team, play-testing with outside participants, and beta testing with your target audience. When analyzing play-test data, quantify feedback using rating scales with pre-established thresholds. Make changes when testers unanimously identify issues, scores fall below targets, or you observe behaviors that undermine learning effectiveness.
Consider development requirements early. Your budget, skills, and technical constraints will shape your game type and approach. Learning games typically need a team with a project manager, instructional designer, game designer, artist, programmer, and QA tester. Agile methodology works well for game development, enabling rapid iterations. After prototyping, refine until your game meets instructional objectives while maintaining engagement. Deployment requires careful planning. With employees protective of their time, develop a comprehensive implementation plan covering logistics and marketing. Make your game mandatory rather than optional. Create a staggered communication campaign using workplace posters, emails, leaderboard updates, and recognition incentives.
In today's rapidly changing workplace, deep, transferable learning is essential for success. Learning through play offers a powerful alternative to traditional training, creating lasting behavior change by engaging emotions, providing immediate feedback, and making abstract concepts concrete. Well-designed games simulate real-world scenarios without consequences, allowing learners to build confidence before facing actual challenges. By harnessing the engagement of games, you can create learning experiences that transform thinking and behavior in ways lectures and manuals cannot. Games create experiences that stick in our attention-scarce world through their immersive nature. They provide safe spaces to experiment and fail - essential elements for deep learning that traditional approaches often lack. By applying game design principles to learning objectives, organizations can create training that doesn't just inform but transform.