My own focus is more on science
education representations. And on how badly they describe the represented physical systems. Emphasizing that this seems as much a science community failure, as an education community fail.
Consider an illustration of the solar system in some introductory astronomy content. Let say, that not atypically, it misrepresents sizes, positions, orientations, lighting, and Sun color. Thus creating and reinforcing misconceptions known to be a problem in K-12, in undergrad, and even on into astronomy graduate school. In contrast, consider a line representing an Earth-Mars transfer orbit. It seems unlikely that students will say think there's a material long pole there, and worry about it hitting satellites and cities. Students and teachers are both clear on the aphysicality of the line, but not of the Sun color. Hmm, though using a minimum-energy line to represent an energy landscape is a source of misconceptions.
Similarly, common representation of atoms and molecules are known to be causatively associated with the stew of misconceptions that pervade students and teachers of chemistry. Ribbons, perhaps not so much. Hmm, though also similarly, they're often used without indication of regional flexibility, and so perhaps contribute to the underappreciation of configuration landscapes, of the importance of tuned floppiness. Perhaps.
Consider a currently implausible goal, of science education which accessibly describes the physical world, and conveys a transferable understanding of it. Arguably its content would look much more like scientific visualizations than content does at present. But being for education, it faces additional constraints, challenges and tradeoffs, distinct from those of professional scientific visualization. Creating such would require a collaboration of both deep scientific and educational expertise. For which very little incentive exists at present.
I'm trying to come up with an XR-compatible visual representation of electron density, that is physically correct, accessible, and bears in mind patterns of misconceptions in chemistry education. That task should probably be more than one random software dev's lockdown hobby hack. But as far as I know, that's were we're at. The related NSF-funded work I've seen... doing this bit well wasn't their focus. Same with XR ed tech side. Same with chem ed apps. And scientific visualization programs. And chem ed research. There may well be something nice out there, but I've not yet seen it. And big ed side... I was chatting with a leading textbook publisher, which onboards content creators with the indoctrination that their liberal arts background, and complete unfamiliarity with science and tech, is not a problem... because there's "a scientist" on call. Deriving electron density, with current nice python libraries, and GPUs, has surely gotten vastly easier than it was with old fortran messes, but still... it seems something more is needed here. Some societal staffing seems missing. No?