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Many cognitive science (CS/ITS) researchers have a basic misconception of the structural learning theory (SLT) and its now proven benefits in developing and delivering dynamically adaptive tutoring systems. Because goals are similar, many ITS developers use the same lens to evaluate what are fundamentally different paradigms. Understanding how students learn is essential in ITS --because experts and neophytes solve problems very differently. Recently patented methods based on SLT make it possible to represent ALL knowledge, from novice to expert, simultaneously. AuthorIT and TutorIT technologies based thereon have been used to build ITS in record time. They are now ready for use both by developers wanting to develop ITS and researchers seeking to compare alternative pedagogical methods with unprecedented precision.