Avida-ED
The core lab environment for natural selection, mutation, adaptation, tradeoffs, and evidence from digital experiments.
Roadmap
The next version of evo-edu.org should give teachers and self-learners a stable home for digital evolution labs, field ecology resources, scaffolded learning pathways, and project-based exploration tied to the NGSS.
Priority expansion order
Platform roles
The core lab environment for natural selection, mutation, adaptation, tradeoffs, and evidence from digital experiments.
The field-and-data side of evo-edu.org, where ecology, species life history, biodiversity, and research documentation come together.
A guided-study companion for autodidacts and structured review. It should support evo-edu course packs, concept maps, and reflection workflows.
A research-support tool for topic expansion, bibliography discovery, and evidence trails, built on CiteGeist rather than presented primarily as CiteGeist itself.
Platform quality and learner experience
The new landing pages are clearer than the older app directories, but the actual application surfaces are still inconsistent. Several published tools still rely on iframe wrappers over legacy runtimes, which means controls can remain hard to find, layout behavior can still feel nonresponsive, and the first useful action is not always obvious once the learner is inside the app.
Support materials are uneven across the current public platforms. Some tools have a strong public wrapper plus teacher and learner support, while others only expose a combined study guide or a curriculum page without a clearly separate teacher guide, standards page, or provenance note.
The platform catalog now feels more coherent than the platform interiors. That means the next revision cycle should focus less on adding new app cards and more on bringing the actual app runtime, guide, standards, and inquiry scaffolding up to a common public contract.
Suggested remediation order
Replacement and pattern opportunities
The current Shape Evolver route already points to the newer Biomorphs runtime rather than the older jsbiomorph implementation. That makes it a useful exception inside the artificial-life family: the public route still needs cleanup, but the underlying replacement direction is already established.
The newer Biomorphs package already includes responsive design, richer learner guidance, standards support, export tools, and clearer pedagogical framing. That makes it a better model for remediating older iframe-wrapped apps than the weaker legacy runtimes themselves.
When revising the ecology and artificial-life families, borrow the Biomorphs pattern: clear first task, visible controls, explicit concept targets, teacher guidance, standards support, and a runtime that does not rely on an opaque legacy UI hidden behind a generic wrapper.
Role-based walkthrough process
The structural audit shows whether a public app has the expected pages. It does not show whether the first task is obvious, whether the controls are legible to a learner, whether a teacher can use the tool tomorrow, or whether a scientist or administrator will trust the framing. Role-based walkthroughs should therefore become a standard part of the remediation process.
Each public route should be reviewed as a student, casual learner, teacher, administrator, and scientist. The review should look for UI friction, engagement gaps, appropriateness problems, overclaiming, and missing linkages between app, guides, standards, Notebook, and broader pathways.
For apps that derive from specific earlier tools or source packages, the walkthrough process must also check fairness and scientific virtues in attribution: who originated the model, who ported it, what evo-edu changed, what limits remain, and where a learner or reviewer can inspect that lineage.
Shape Evolver should be the first completed role-walkthrough case, and Allele Tracker should be the second. Shape Evolver shows how a stronger replacement runtime helps. Allele Tracker shows how historical depth, source lineage, and older public pages create a different but equally important remediation profile.
License and Provenance Risk
The PopG notice appears to impose real distribution and revenue-related restrictions. That means source-derived public routes such as Allele Tracker should not be treated as safely settled merely because provenance is documented. Public deployment terms may require explicit confirmation or permission.
Carry forward the full upstream notice, state clearly that the route is based on the earlier model family, and avoid implying that evo-edu independently relicensed the work. Provenance fairness and scientific virtues both require that level of explicitness.
Runtime UI principles from current remediation
Allele Tracker shows one useful pattern worth carrying forward: keep run, save, export, and import actions grouped separately from parameter configuration. Learners should not have to hunt through form inputs to find the next action.
Responsive redesign should not simply stack everything into a long column. The main display and the controls that immediately affect it should remain adjacent or simultaneously visible whenever possible, especially on tablets and smaller laptops.
When a runtime is still complex or partially legacy, the public app page should state the first useful experiment plainly before the learner enters the interface. This matters more than decorative wrapper polish.