Using TutorIT on the web is very straight forward. All one needs to do is go to www.TutorITweb.com (or TutorIT.org) and SIGN UP. Once logged in, students can select the tutorials they wish to take.

Choose different Tutorial
Students have a choice at the beginning to choose to have sound on or off and to have TutorIT auto advance to the next question or instruction as soon as the student answers a question. For example, students who would like an opportunity to think about their answers before being evaluated should click on Auto Advance to turn it off. After selecting a tutorial, the student is first shown a title page.

Many title pages include buttons which may be clicked to show Examples and/or Explanations. Many also include a video introduction. Simply click to see them. The title page is often (this is an author option) followed by a Prerequisites screen listing prerequisites assumed in in the tutorial. This may be followed by an Objective page specifying the goals (and often another chance to see associated media

TutorIT does a lot more than simply present problems and wait for the student to answer. When a student demonstrates mastery, known items are automatically dropped out so students can focus on those they do not know. Moreover, TutorIT automatically can speed things up as the student demonstrates mastery of basics. This is especially important for skills where full mastery requires more than just get getting items correct.

Basic arithmetic fact tutorials are a good example. Students, for example, may no how but shouldn’t have to count on their fingers to sum 5 + 6.

TutorIT tutorials do much more than simply present problems and grade student answers. They also go far beyond so-called adaptive learning systems. Adaptive learning systems adjust problems according to overall difficulty – defined by how difficult average students find the problems. Attempts to address individual differences focus on such things as student preferences, learning styles, histories, etc.

As detailed in Scandura (2014) adaptive learning systems fail to directly address the central issue. Exactly what is it that students need to learn to be successful? Given any problem or task domain, what are the cognitive operations and decision making skills required for success? The domain in question may be narrowly defined and/or broad in scope. It may be highly structured or it may be made up of a broad variety of diverse and more or less independent tasks (as in standardized tests). In all cases, however, the essential question remains the same. What do students need to learn to be successful. Patented methods on which TutorIT (and AuthorIT) build on the Structural Learning Theory (SLT). SLT is based a lifetime of research and discovery by the developer, Emeritus Professor Joseph M. Scandura (e.g., 1971, 2001, 2007), and provides an arbitrarily precise and complete answer to this question. SLT and associated technologies and methods have made it possible to both: a) build dynamically adaptive TutorIT tutoring systems in record time and b) automatically deliver dynamically adaptive tutoring to individual students as might a skilled (but tireless) human tutor.

TutorIT tutorials quickly and efficiently pinpoint what any given student does and does not know at each point in time and deliver precisely the information any given student needs to progress. The process continues until the student either completes a tutorial or gives up – in effect, guaranteed learning.

Text to Speech (TTS) behaves somewhat differently when students answer questions in TutorIT under Chrome and TutorIT under Internet Explorer 11 (IE11).

In Chrome, TutorIT proceeds to the next question immediately as soon as a student completes a test item.* Chrome allows students to progress to the next question as rapidly as they wish (especially good for testing tutorials). In IE11, TutorIT waits until TTS completes “reading” before the student can answer a question. This implicit feature can be used to advantage by teachers who want to ensure that students listen and otherwise seriously contemplate each question before answering. *NOTE: Completing any test item may or may not require pressing “Return”.

Please do not use the Microsoft Edge, Firefox or Safari browser as clicks are not rendered correctly.

"Works like a human tutor. Quickly determines what the student needs to progress continuing through full mastery."

Creator of the Structural Learning Theory
Prof. Joseph M. Scandura, PhD, Director of R&D

Contact Us

Email: tutorit@scandura.com
© Scandura 2018, All rights reserved.