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[[File:PLATO chem exp.jpg|thumb|The PLATO computer system, which predates the personal computer, was the first platform for what would now be called explorable explanations]]
Many explorable explanations predate the popular use of the phrase.<ref>{{Cite journal|last=Singley|first=Mark K.|date=1991|title=MOLEHILL: An Instructional System for Smalltalk Programming |journal=Proceedings of the SIGCHI Conference on Human Factors in Computing Systems|series=CHI '91 |___location=New York, NY |publisher=ACM |pages=439–440 |doi=10.1145/108844.108992 |isbn=9780897913836|s2cid=21614588}}</ref><ref>{{Cite journal|last=Redmiles|first=David F.|date=1993|title=Reducing the Variability of Programmers' Performance Through Explained Examples|journal=Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems|series=CHI '93|___location=New York, NY|publisher=ACM|pages=[https://archive.org/details/interchi93confer0000unse/page/67 67–73]|doi=10.1145/169059.169082|isbn=9780897915755|s2cid=13014326|url=https://archive.org/details/interchi93confer0000unse/page/67}}</ref> For example, the [[PLATO (computer system)|Plato system]], a computer-assisted instructional system created in 1960 depicted to the right, used interactive examples to teach concepts to students.<ref>{{cite web|url=http://hackeducation.com/2018/01/25/plato|title=PLATO and the History of Education Technology (That Wasn't)|date=January 2, 2018|website=Hack Education|language=en-US|access-date=March 27, 2019}}</ref> In 1996, [[Mitchel Resnick]] created an explorable explanation of [[emergence]] using [[Conway's Game of Life]] as an example.<ref>{{cite web|url=http://www.playfulinvention.com/emergence/|title=Exploring Emergence |website=www.playfulinvention.com |access-date=March 3, 2019}}</ref>
The target audience for explorable explanations has historically been limited by available [[Software Platform|software distribution platforms]] (although some have been made for specific museums, without any intention of wider distribution, including some created by [[Karl Sims]]<ref>{{cite web|url=http://www.karlsims.com/rd-exhibit.html|title=Reaction-Diffusion Media Wall |website=www.karlsims.com |access-date=March 3, 2019}}</ref>). Due to the fact that explorable explanations have not previously been successfully [[Monetization|monetized]], physical media such as [[CD-ROM]]s could not be considered. Since the 2000s, explorable explanations have become more common, because of widespread internet access and increased [[computer graphics]] possibilities within [[web browser]]s, for example via [[Scalable Vector Graphics|SVG]], [[WebGL]], and [[Canvas element|HTML5 canvas]] [[API]]. This allows complex simulations to be accessed instantly and shared on social media.
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The most prevalent examples of explorable explanations concern topics within mathematics<ref>{{cite web|url=http://explorabl.es/math/|title=Math {{!}} Explorable Explanations|website=explorabl.es|access-date=April 5, 2019}}</ref><ref>{{Citation|last=Benziane|first=Chakib|title=A curated list of awesome explorable explanations.: sp4ke/awesome-explorables|date=April 3, 2019|url=https://github.com/sp4ke/awesome-explorables#math|access-date=April 5, 2019}}</ref> or [[computer science]].<ref>{{cite web|url=http://explorabl.es/programming/|title=Programming {{!}} Explorable Explanations|website=explorabl.es|access-date=April 5, 2019}}</ref><ref>{{Citation|last=Benziane|first=Chakib|title=A curated list of awesome explorable explanations.: sp4ke/awesome-explorables|date=April 3, 2019|url=https://github.com/sp4ke/awesome-explorables#algorithms |access-date=April 5, 2019}}</ref> There are numerous explanations of concepts within statistics and [[machine learning]] as well as of specific [[algorithm]]s.
Explorable explanations have a bias towards focusing on these topics, and when the subject matter comes from disciplines of [[empirical science]], there is a tendency to focus on [[quantitative research|quantitative models]] from within the discipline. This is true even in the case of explorable explanations about disciplines where quantitative models are less common, such as [[social science]].<ref>{{cite
Additionally, since the simulation requires a [[Visualization (graphics)|visualization]], there is a certain bias towards subject matter close to [[geometry]]. For example, there are at least three explorable explanations about [[special relativity]]<ref>{{cite web|url=https://www.lucify.com/inside-einsteins-head/|website=www.lucify.com|access-date=January 21, 2019|title=Inside Einstein's head - an explorable explanation of relativistic spacetime}}</ref><ref>{{cite web |url=http://testtubegames.com/velocityraptor.html|title=Velocity Raptor|website=testtubegames.com|access-date=January 21, 2019}}</ref> including [[A Slower Speed of Light]].<ref>{{cite web |url=http://gamelab.mit.edu/games/a-slower-speed-of-light/|title=A Slower Speed of Light|last=Admin|first=Game Lab|website=MIT Game Lab|language=en-US|access-date=March 3, 2019}}</ref>
== Use in media ==
Explorable explanations are increasingly being created by journalists,<ref>{{cite web|url=https://killscreen.com/articles/your-brain-anxiety-interactive-explanation-nicky-case/|title=Your brain on anxiety: an interactive explanation with Nicky Case|last=Joho|first=Jess|date=September 2, 2015|website=Kill Screen|language=en-US|access-date=January 24, 2019}}</ref> sometimes by organisations that formerly focused on [[print news media]]<ref name=":1">{{Cite news|url=https://www.nytimes.com/interactive/2017/04/02/technology/uber-drivers-psychological-tricks.html,%20https://www.nytimes.com/interactive/2017/04/02/technology/uber-drivers-psychological-tricks.html|title=How Uber Uses Psychological Tricks to Push Its Drivers’ Buttons|last=Scheiber|first=Noam|date=April 2, 2017|work=The New York Times|access-date=January 21, 2019|language=en-US|issn=0362-4331}}</ref><ref name=":2">{{cite web|url=https://www.theguardian.com/australia-news/datablog/ng-interactive/2017/sep/28/hooked-how-pokies-are-designed-to-be-addictive|title=Hooked: how pokies are designed to be addictive|
Other newsrooms such as [[Bloomberg Businessweek]], [[The New York Times]], and [[The Guardian]] are also notable for their use of explorable explanations to tell stories, for example covering topics like climate change, drug overdoses, and economics.<ref name=":1" /><ref name=":2" /><ref>{{Cite news|url=https://www.nytimes.com/interactive/2014/upshot/buy-rent-calculator.html,%20https://www.nytimes.com/interactive/2014/upshot/buy-rent-calculator.html|title=Is It Better to Rent or Buy?|
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