System and method for adaptive perceptual learning
First Claim
1. A perceptual learning system for teaching students to recognize diagnostic structure from varying instances, the system comprising:
- a microprocessor;
a memory accessible by the microprocessor;
an interface coupled to the microprocessor for interacting with a student;
a problem database in the memory including;
a plurality of learning items which are examples of different concepts including at least one given concept to be learned by the student, the different concepts being categories of structure that are distinguishable from one another by perceptual structure;
with respect to the concept to be learned, a plurality of learning items that are positive instances of the concept to be learned containing diagnostic structural elements sufficient to determine the concept to be learned that can be perceived by the student and a plurality of negative instances which do not contain diagnostic structural elements sufficient to determine the concept to be learned; and
with respect to the positive instances of the concept to be learned, a plurality of learning items corresponding to different examples of the concept to be learned that vary in attributes other than the diagnostic structural elements sufficient to determine the concept to be learned;
wherein the microprocessor is configured to present, in a presentation sequence and with a presentation delay interval, the learning items to the student as a series of learning trials, the series of learning trials including positive instances and negative instances of the concept from the problem database;
wherein the microprocessor is configured to vary the set of positive instances presented to the student in the series of learning trials, by retrieving and presenting to the student over the series of learning trials multiple different examples of positive instances of the concept to be learned that vary in irrelevant attributes other than the diagnostic structure sufficient to determine the concept,and wherein the microprocessor is configured to receive a response from the student on at least some of the learning trials presented to the student; and
a delay counter for counting number of learning trials for each learning item presented to the student since last presentation of said each learning item;
wherein the microprocessor is configured to monitor the responses received from the student and determine a response speed and a response accuracy of the student'"'"'s response to one or more of the learning trials;
wherein the microprocessor is configured to vary the presentation sequence of the learning items presented to the student relating to the concept to be learned based upon the determined response speed and response accuracy, andwherein the microprocessor is configured to vary the presentation delay interval for a learning item, based on the number of learning trials counted by the delay counter, the determined response speed, and the determined response accuracy.
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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.
99 Citations
50 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 microprocessor; a memory accessible by the microprocessor; an interface coupled to the microprocessor for interacting with a student; a problem database in the memory including; a plurality of learning items which are examples of different concepts including at least one given concept to be learned by the student, the different concepts being categories of structure that are distinguishable from one another by perceptual structure; with respect to the concept to be learned, a plurality of learning items that are positive instances of the concept to be learned containing diagnostic structural elements sufficient to determine the concept to be learned that can be perceived by the student and a plurality of negative instances which do not contain diagnostic structural elements sufficient to determine the concept to be learned; and with respect to the positive instances of the concept to be learned, a plurality of learning items corresponding to different examples of the concept to be learned that vary in attributes other than the diagnostic structural elements sufficient to determine the concept to be learned; wherein the microprocessor is configured to present, in a presentation sequence and with a presentation delay interval, the learning items to the student as a series of learning trials, the series of learning trials including positive instances and negative instances of the concept from the problem database; wherein the microprocessor is configured to vary the set of positive instances presented to the student in the series of learning trials, by retrieving and presenting to the student over the series of learning trials multiple different examples of positive instances of the concept to be learned that vary in irrelevant attributes other than the diagnostic structure sufficient to determine the concept, and wherein the microprocessor is configured to receive a response from the student on at least some of the learning trials presented to the student; and a delay counter for counting number of learning trials for each learning item presented to the student since last presentation of said each learning item; wherein the microprocessor is configured to monitor the responses received from the student and determine a response speed and a response accuracy of the student'"'"'s response to one or more of the learning trials; wherein the microprocessor is configured to vary the presentation sequence of the learning items presented to the student relating to the concept to be learned based upon the determined response speed and response accuracy, and wherein the microprocessor is configured to vary the presentation delay interval for a learning item, based on the number of learning trials counted by the delay counter, the determined response speed, and the determined response accuracy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 40, 42, 45, 46, 47, 48, 49, 50)
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24. 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 processor, a visual display device, at least one input device, and one or more memories, wherein the processor is coupled to the visual display device, the input device, and the one or more memories; the one or more memories comprising; a problem database containing a plurality of learning items and program instructions for execution by the processor, the program instructions including; presenting one or more learning items as a structure discovery trial or a structure mapping trial, the structure discovery trial requiring a student to recognize the diagnostic structure that determines a concept in a particular learning domain, distinguish a plurality of positive instances and a plurality of negative instances of the concept, and process distinguishing information rapidly, and the structure mapping trial requiring the student to associate a structure in one representational format with the structure as it appears in one or more different representational formats; presenting the learning items to the student, in a presentation sequence and with a presentation delay interval, as a series of classification trials, wherein the series of classification trials includes a pattern classification response or a pattern comparison response, the series of classification trials including positive instances and negative instances of the concept with each of the positive instances containing at least one aspect of the diagnostic structure corresponding to the classification that can be perceived by the student, and varying a set of the positive and negative instances in attributes other than the diagnostic structure determining the concept, wherein the problem database contains numerous instances exemplifying a given concept to be learned, each given concept is distinguishable by perceptual structure; receiving a response from the student on at least some of the learning trials; counting number of learning trials for each learning item presented to the student since last presentation of said each learning item; monitor the responses received from the student and determining a response based on speed and a response accuracy of the student'"'"'s response to one or more of the learning trials; and wherein the presentation sequence of learning items is varied based upon the determined response speed and response accuracy, and wherein the microprocessor is configured to vary the presentation delay interval for a learning item, based on the number of learning trials counted by a delay counter, the determined response speed, and the determined response accuracy. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 41, 43)
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38. A perceptual learning method for teaching students to recognize diagnostic structure from varying instances, comprising the steps of:
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providing a problem database containing a plurality of learning items which are examples of different concepts that are categories distinguishable by perceptible structure, which, with respect to any one concept, includes a number of positive instances containing diagnostic structural elements of the concept that can be perceived by a student and a number of negative instances which do not contain the diagnostic structural elements of the concept; presenting the learning items to a student in a presentation sequence and with a presentation delay interval using a processor coupled to a memory containing the problem database to the student as a series of learning trials, the processor further coupled to one or more interfaces for interacting with the student; wherein the series of learning trials includes a plurality of positive instances and a plurality of negative instances of the concept with each of the positive instances containing at least one of the diagnostic structural elements of the concept, wherein the problem database contains a set of instances including the plurality of positive instances and the plurality negative instances of the concept to be learned, wherein receiving responses to the learning items from the student via the one or more interfaces presented to the student; and
using the processor for;counting number of learning trials for each learning item presented to the student since last presentation of said each learning item; monitoring the responses received from the student and determining a response speed and a response accuracy of the student'"'"'s responses to at least one of the learning items; varying the presentation sequence of the learning items based upon the determined response speed and response accuracy;
varying the presentation delay interval for a learning item, based on the number of learning trials counted by a delay counter, the determined response speed, and the determined response accuracy; and
presenting the varied presentation of the learning items to the student. - View Dependent Claims (39, 44)
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Specification