Internet based learning systems

• US 8,358,965 B2
• Filed: 12/29/2007
• Issued: 01/22/2013
• Est. Priority Date: 12/30/2006
• Status: Active Grant

• Current Assignee: Realtime Learning Systems, LLC
• Original Assignee: Realtime Learning Systems, LLC
• Inventors: Allen, Rex J., Carman, Jared M.
• Primary Examiner(s): FRISBY, KESHA
• Application Number:
  US11/967,085
• Publication Number:
  US 20080160491A1
• Time in Patent Office: 1,851 Days
• Field of Search: 434/118, 434/322, 434/323, 434/350, 434/362, 434/365, 434/236
• US Class Current: 434/362
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

A learning system is adapted to provide a learning management system adapted to present an exercise environment to the user in which the user is able to practice skills through a combination of presented media and practice areas. The learning system is adapted to provide feedback to the user during the practice session to allow the user to improve performance while in the exercise environment. Additionally, the learning system is adapted to track the user'"'"'s performance in terms of practice time and in terms of accuracy percentage to allow the student and the educator to monitor performance related to effort. Still additionally, the learning systems of the present disclosure may be adapted to track the types of errors committed by the users to enable the users and educators to provide more directed educational experiences and practice sessions to overcome recurring problems.

Claims

1. A network-based learning system, comprising:

an input module configured to receive psychomotor input received from a psychomotor device in response to a user practicing a psychomotor skill, wherein the input module receives the psychomotor input in real time as the user is practicing the psychomotor skill, wherein the psychomotor device comprises a steno machine, and wherein the psychomotor skill comprises accuracy of steno keystrokes at a given speed;

a software application configured to convert, in real time, the psychomotor input into digital psychomotor performance data;

an analysis module configured to compare the digital psychomotor performance data with ideal psychomotor performance data according to at least one of;

a live, real time, word-by-word basis as the user is practicing the psychomotor skill,

an entire exercise basis after the user has practiced an exercise for the psychomotor skill, and

a probability-based intelligent analysis based on the psychomotor skill,

wherein the analysis module is adapted to present focused repractice to the user, wherein the focused repractice includes repractice of specific errors by at least one of word, phrase, and error type,

wherein the analysis module displays differences between the digital psychomotor performance data and the ideal psychomotor performance data through at least one of;

highlighted error words and highlighted “

correct”

words, bolded error words and bolded “

correct”

words, and crossed out error words with “

correct”

words adjacent to error words, and

wherein the analysis module displays a summary to the user that includes kinds of errors and rates of occurrence of errors;

a communication module that communicates the digital psychomotor performance data to a data module, wherein the digital psychomotor performance data includes at least one of errors, kinds of errors, rates of occurrence of errors, percent accuracy, and time spent, wherein the data module stores the digital psychomotor performance data; and

a reporting module that displays the digital psychomotor performance data.