Educational model

Learn biology by making it work.

Endonaut is designed around systems understanding: players encounter biological problems, investigate their causes, build solutions from functional components, and observe the consequences in a persistent world.

A design model, not yet an outcomes claim. Endonaut’s educational approach is informed by research in active learning, game-based learning, cognitive engagement, and productive failure. Its specific learning outcomes, educator usability, and player response still require direct validation through planned studies and workshops.
01

Learning is intrinsic to play

Biological ideas are embedded in the actions that make the player effective. Membranes manage water interactions; proteins perform work; ATP supports capability; genetic systems make production repeatable. The learning content is not a reward screen placed beside the game—it is the game’s operating logic.

02

Knowledge produces agency

Scanning and experimentation reveal how a system behaves. That understanding unlocks designs, while energy and manufacturing determine whether the player can build them at useful scale. Progress therefore depends on connecting evidence, mechanism, and action.

03

Players construct systems

Players move beyond recognizing structures to assembling and coordinating them. Building vesicles, organelles, cells, tissues, and regulatory systems asks the player to produce explanations in functional form: if the model is incomplete, the system behaves accordingly.

04

Failure is information

Experiments can leak, stall, consume too much energy, or fail under a new environmental constraint. The aim is safe-to-fail iteration: consequences expose the missing relationship and create a reason to revise the design, rather than simply marking an answer wrong.

05

Complexity grows in layers

Early interactions establish a small set of reusable ideas. Later environments recombine them across scales—from molecules to cells, tissues, organisms, and ecosystems—so that increased complexity can deepen an existing mental model instead of becoming an unrelated sequence of facts.

Observe. Explain. Build. Test.

The campaign repeatedly places a biological constraint between the player and the next environment. The player gathers evidence, forms a working explanation, fabricates a solution, and watches the world respond. Mastery is demonstrated through increasingly independent design—not through quiz gates.

EXAMPLE / MEMBRANES

Water becomes a design constraint

Hydrophobicity, membranes, channels, walls, pumps, and cytoskeletons become practical tools for maintaining structures in different environments.

EXAMPLE / INFORMATION

Production becomes programmable

Players move from manual protein fabrication to RNA templates and then durable DNA-based storage and regulation as scale makes repetition untenable.

EXAMPLE / ECOLOGY

Local systems create new problems

Antibiotics, oxygen stress, pathogens, scarce resources, and megafauna turn biological context into a reason to investigate and adapt.

Selected references

These works inform the design principles above. They support the broader educational rationale; they do not substitute for evaluating Endonaut itself.

  1. Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital Games, Design, and Learning: A Systematic Review and Meta-Analysis. Review of Educational Research, 86(1), 79–122.
  2. Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of Game-Based Learning. Educational Psychologist, 50(4), 258–283.
  3. Habgood, M. P. J., & Ainsworth, S. E. (2011). Motivating Children to Learn Effectively: Exploring the Value of Intrinsic Integration in Educational Games. Journal of the Learning Sciences, 20(2), 169–206.
  4. Chi, M. T. H., & Wylie, R. (2014). The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes. Educational Psychologist, 49(4), 219–243.
  5. Kapur, M. (2008). Productive Failure. Cognition and Instruction, 26(3), 379–424.
  6. Freeman, S., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415.
  7. National Academies of Sciences, Engineering, and Medicine. (2018). How People Learn II: Learners, Contexts, and Cultures. Washington, DC: The National Academies Press.