Methods and apparatus to assess and enhance a student's understanding in a subject

• US 6,118,973 A
• Filed: 02/22/1999
• Issued: 09/12/2000
• Est. Priority Date: 03/19/1996
• Status: Expired due to Term

• Current Assignee: IpLearn LLC
• Original Assignee: Ho Chi Fai, Peter P. Tong
• Inventors: Tong, Peter P., Ho, Chi Fai
• Primary Examiner(s): Cheng, Joe H.
• Application Number:
  US09/255,042
• Time in Patent Office: 568 Days
• Field of Search: 434/118, 434/186, 434/169, 434/185, 434/219, 434/307 R, 434/308, 434/322, 434/323, 434/327, 434/335, 434/362, 434/365, 434/350, 434/353, 704/1-10, 702/108, 702/127, 705/1, 706/45, 706/59, 706/61, 706/927, 707/1, 707/500
• US Class Current: 434/362
• CPC Class Codes: G09B 5/14 with provision for individual teacher-student communication
• CPC Class Codes: G09B 7/04 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
• CPC Class Codes: Y10S 706/927 Education or instruction

Abstract

An educational method and system that assess and enhance a student'"'"'s understanding in a subject. Based on the student'"'"'s understanding, individually-tailored tests are generated, whose difficulties are geared towards the student'"'"'s level of understanding in the subject. Thus, the student not only can use the tests to prepare for an examination, but can also use the tests to learn the subject. The system includes a score generator coupled to a recommendation generator. In one preferred embodiment, the recommendation generator includes an inference engine, and in another preferred embodiment, the recommendation generator includes a pre-requisite analyzer. Both the pre-requisite analyzer and the inference engine in the recommendation generator can generate recommendations based on the student'"'"'s test results. The recommendation generator is coupled to a report generator and a question generator. The report generator accesses a report format. Based on the recommendations and the report format, the report generator generates a report, which can provide assessment of the student'"'"'s understanding in different areas of the subject, and which can provide action items to improve on the student'"'"'s understanding in the subject. The question generator, based on the recommendations, generates a number of questions. The student can take this new set of questions to further enhance her understanding in the subject.

Claims

1. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, the method, using test results from the latest test and the prior-to-the-latest test results taken by the student, comprising the steps of:

accessing the student'"'"'s prior-to-the-latest test results and the latest test results; and

analyzing, by a first computing device that can access a network, the student'"'"'s prior-to-the-latest and the latest test results to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

2. A computer-aided learning method as recited in claim 1 wherein the analysis is based on a plurality of subject-specific rules.

3. A computer-aided learning method as recited in claim 1 further comprising the step of accessing the time that each test was taken for generating the recommendation so as to identify the student'"'"'s degree of forgetfulness in the subject as a function of time.

4. A computer-aided learning method as recited in claim 1 wherein:

the subject is divided into line-items with at least one line-item being more difficult than another line-item; and

the latest test includes questions for different line-items; and

the method further comprising the steps of generating an overall score for each group of questions having the same line-item for generating the recommendation.

5. A computer-aided learning method as recited in claim 1 wherein:

the student'"'"'s prior-to-the-latest test results are weighted differently as compared to the latest test results to generate the recommendation; and

the weight depends on whether the student has any handicap in that subject as compared to other students.

6. A computer-aided learning method as recited in claim 1 wherein:

the student'"'"'s prior-to-the-latest test results are weighted differently as compared to the latest test results to generate the recommendation; and

the weight depends on the whether the subject emphasizes on fundamental understanding.

7. A computer-aided learning method as recited in claim 1 wherein:

the analysis uses a set of rules; and

the method further comprises the step of resolving conflicts among one or more rules and the latest test results in order to provide a consistent assessment of the student'"'"'s understanding in the subject.

8. A computer-aided learning method as recited in claim 1 wherein:

the analysis uses a set of rules; and

the method further comprises the step of resolving conflicts among two or more rules in order to provide a consistent assessment of the student'"'"'s understanding in the subject.

9. A computer-aided learning method as recited in claim 1 wherein:

the subject is divided into line-items with at least one line-item being more difficult than another line-item; and

the method further comprises the step of establishing a complexity-hierarchy among a plurality of line-items for generating the recommendation.

10. A computer-aided learning method as recited in claim 1 wherein:

the analysis uses a set of relationship rules, which determine the relationship among at least two line-items; and

the method further comprises the step of performing inferences based on the set of relationship rules for generating the recommendation.

11. A computer-aided learning method as recited in claim 1 further comprising the step of generating, based on the recommendation, a report on the assessment.

12. A computer-aided learning method as recited in claim 11 further comprising the step of accessing a report format to generate the report.

13. A computer-aided learning method as recited in claim 11 further comprising the step of querying the report.

14. A computer-aided learning method as recited in claim 1 further comprising the step of generating, based on the recommendation, a plurality of questions for the student to work on.

15. A computer-aided learning method as recited in claim 14 wherein:

the subject is divided into line-items with at least one line-item being more difficult than another line-item;

the recommendation includes recommending the student to work on a line-item; and

the plurality of questions can be categorized into at least two line-items, one being the one suggested by the recommendation.

16. A computer-aided learning method as recited in claim 1 wherein the first computing device is a server computer, and the second computing device is a client computer.

17. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, the method, using the latest test results from the latest test taken by the student, comprising the steps of:

accessing a set of analysis rules;

resolving conflicts among one or more rules and the latest test results; and

generating a recommendation, by a first computing device that can access a network, based on the student'"'"'s latest test and the rules after conflicts have been resolved if there were any conflicts to resolve, so that the recommendation provides an assessment on the student'"'"'s understanding in the subject;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

18. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, which is divided into line-items with at least one line-item being more difficult than another line-item, the method, using the student'"'"'s test results on the subject, comprising the steps of:

calculating one or more overall scores based on the student'"'"'s latest test results;

applying, by a first computing device that can access a network, a complexity-hierarchy to the one or more overall scores to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject;

wherein;

the complexity-hierarchy was established among a plurality of line-items; and

the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

19. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, which is divided into line-items with at least one line-item being more difficult than another line-item, the method, using the student'"'"'s test results of the subject, comprising the steps of:

generating, based on the latest test results, one or more overall scores;

accessing a set of relationship rules, which determine the relationship among at least two line-items; and

performing, by a first computing device that can access a network, inferences on the one or more scores based on the set of relationship rules to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

20. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, which is divided into the line-items with at least one line-item being more difficult than another line-item, the method, using the latest test results from the latest test taken by the student, with the latest test including questions from more than one line-item, comprising the steps of:

accessing a report format;

accessing a recommendation, which was generated based on the latest test results by a first computing device that can access a network; and

generating a report by a second computing device, based on the recommendation being transmitted to the second computing device through the network, and based on the report format, to provide assessment of the student'"'"'s understanding in the subject.

21. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, which is divided into line-items with at least one line-item being more difficult than another line-item, the method comprising the steps of:

recommending the student to work on a line-item based on analysis performed in a first computing device that can access a network; and

generating by a question generator a plurality of questions, which can be categorized into at least two line-items with one being the line-item recommended;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

22. A computer-aided learning method as recited in claim 21 wherein:

the plurality of questions generated are the recently generated questions; and

the method further comprises the step of preventing duplication in questions previously generated within a preset time from the recently generated questions.

23. A computer-aided learning method for assessing a student'"'"'s understanding in a subject, which is divided into line-items with at least one line-item more difficult than another line-item, the method, using latest test results from the latest test taken by the student, comprising the steps of:

accessing the student'"'"'s latest test results; and

analyzing, by a first computing device that can access a network, the student'"'"'s latest test results using a set of subject-specific rules to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject, and suggests at least one line-item that the student should improve on;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

24. A computer-aided learning system for assessing a student'"'"'s understanding in a subject, the system, using test results from the latest test and the prior-to-the-latest test results taken by the student, comprising:

a recommendation generator configured to

access the student'"'"'s prior-to-the-latest test results and the latest test results; and

analyze, by a first computing device that can access a network, the student'"'"'s prior-to-the-latest and the latest test results to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.

25. A computer-aided learning system for assessing a student'"'"'s understanding in a subject, which is divided into the line-items with at least one line-item being more difficult than another line-item, the system, using the latest test results from the latest test taken by the student, with the latest test including questions from more than one line-item, comprising:

a report generator configured to

access a report format;

access a recommendation, which was generated based on the latest test results by a first computing device that can access a network; and

generate a report by a second computing device, based on the recommendation being transmitted to the second computing device through the network, and based on the report format, to provide assessment of the student'"'"'s understanding in the subject.

26. A computer-aided learning system for assessing a student'"'"'s understanding in a subject, which is divided into line-items with at least one line-item being more difficult than another line-item, the system comprising:

a recommendation generator configured to recommend the student to work on a line-item based on analysis performed in a first computing device that can access a network; and

a question generator configured to generate a plurality of questions, which can be categorized into at least two line-items with one being the line-item recommended;

wherein the recommendation can be transmitted to a second computing device through the network to be used by the second computing device.