System and method for adaptive learning
First Claim
1. A perceptual learning system for teaching students to recognize diagnostic structure from varying instances, the system comprising:
- a problem database containing a plurality of learning items which are examples of different concepts, which, with respect to any one concept, includes a number of positive instances containing diagnostic structural elements and a number of negative instances which do not contain the diagnostic structural elements of the concept; and
software for implementing a trial loop, wherein the learning items are presented to the student in the form of classification trials.
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Abstract
An adaptive learning system and method (“ALS”) for optimized, automated learning is disclosed. The optimal sequencing method is adaptive in the sense that it continuously monitors a student'"'"'s speed and accuracy of response in answering a series of questions, performing a series of classification tasks, or performing a series of procedures, and modifies the sequencing of the items presented as a function of these variables. One goal of the technique is to teach the subject matter in the shortest possible time. The optimal sequencing method may be used independently or in conjunction with disclosed perceptual learning and hinting methods.
136 Citations
39 Claims
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1. A perceptual learning system for teaching students to recognize diagnostic structure from varying instances, the system comprising:
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a problem database containing a plurality of learning items which are examples of different concepts, which, with respect to any one concept, includes a number of positive instances containing diagnostic structural elements and a number of negative instances which do not contain the diagnostic structural elements of the concept; and
software for implementing a trial loop, wherein the learning items are presented to the student in the form of classification trials. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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2. The perceptual learning system of claim 2, wherein the problem database contains numerous instances exemplifying a given concept to be learned, and the set of instances systematically varies in attributes and dimensions other than the diagnostic structure determining the concept.
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25. A perceptual learning system for teaching students to recognize diagnostic structure from varying instances, the system comprising:
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a computer system including a central processing unit, a visual display device, at least one input device, and one or more memory portions;
the memory portions comprising;
a problem database containing a plurality of learning items, wherein each learning item is in the form of a structure discovery trial or a structure mapping trial, the structure discovery trials requiring the student to recognize the diagnostic structure that determines a concept in a particular learning domain, distinguish positive and negative instances of the concept, and process the distinguishing information rapidly, and the structure mapping trials requiring the student to associate a structure in one representational format with the structure as it appears in one or more different representational formats;
software for implementing a trial loop, wherein the learning trials are presented to the student in the form of classification trials, wherein the classification trials include a pattern classification response or a pattern comparison response. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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39. A perceptual learning method for teaching students to recognize diagnostic structure from varying instances, comprising the steps of:
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supplying a computer including one or more memory portions;
the memory portions having software which performs the steps of;
building and maintaining a problem database containing a plurality of learning items which are examples of different concepts, which, with respect to any one concept, includes a number of positive instances containing diagnostic structural elements and a number of negative instances which do not contain the diagnostic structural elements of the concept; and
implementing a trial loop, wherein the learning trials are presented to the student in the form of classification trials.
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Specification