Predictive artificial intelligence and pedagogical agent modeling in the cognitive imprinting of knowledge and skill domains
First Claim
1. A method of ensuring that students learn from instruction, comprising the steps of:
- acquiring cognitive student data into a computer;
storing cognitive student data models in a computer;
automatically creating a customized program of content activities based on a student cognitive model; and
automatically adjusting a customized program of activities based on a changing student cognitive model as said student progresses through the program
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Abstract
System and methods for predicting and dynamically adapting the most appropriate content and teaching strategies that aid individual student learning. System and methods are based on a cognitive model that integrates new information with what the student already knows. A program of study is predicted by the unique cognitive needs of the individual student correlated with aggregated student data history using an Artificial Intelligence Engine (AI Engine). Said system and methods then dynamically adapt the initial cognitive model to the student'"'"'s ongoing progress using personalized software Agents. Said system and methods include a computer network that incorporates a server-side AI Engine and a collection of client-side software Agents embodied as animated characters. The program connects new information to prior knowledge and then strengthens these connections through dedicated learning Activities, customized to the student, to ensure that effective, and real, learning occurs.
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Citations
14 Claims
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1. A method of ensuring that students learn from instruction, comprising the steps of:
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acquiring cognitive student data into a computer;
storing cognitive student data models in a computer;
automatically creating a customized program of content activities based on a student cognitive model; and
automatically adjusting a customized program of activities based on a changing student cognitive model as said student progresses through the program - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-implemented learning system, comprising:
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a server computer and a plurality of client computers on a network means for displaying a prior knowledge questionnaire and test to a parent/guardian/teacher and student on a client computer, and storing said results in a student cognitive model dataset means for storing a student cognitive model in a server computer means for comparing a multitude of stored student cognitive models with a new student cognitive model using an Artificial Intelligence Engine for the purpose of identifying pattern matches of past successful activity programs means for downloading and implementing software helper and content agents on a client computer means for downloaded and visually presenting content activities to a student on a client computer means for student to interact with content activities and to have said interactions stored means for communications between a server AI Engine and client software agents - View Dependent Claims (11, 12, 13, 14)
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Specification