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

• US 5,934,909 A
• Filed: 11/12/1997
• Issued: 08/10/1999
• 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:
  US08/968,951
• Time in Patent Office: 636 Days
• Field of Search: 434/118, 434/156, 434/169, 434/185, 434/219, 434/307 R, 434/308, 434/322, 434/323, 434/327, 434/335, 434/350, 434/353, 434/362, 434/365, 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 from a test-result-storage medium; and

analyzing the student'"'"'s prior-to-the-latest and the latest test results using a set of analysis rules to generate a recommendation, which provides an assessment on the student'"'"'s understanding in the subject.

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

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, which reflects 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 further comprising the step of calculating one or more overall scores based on the accessed test results for generating the recommendation.

5. A computer-aided learning method as recited in claim 4 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.

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

the student'"'"'s prior-to-the-latest test results are weighted differently as compared to the latest test results to generate the one or more overall scores; and

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

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

the student'"'"'s prior-to-the-latest test results are weighted differently as compared to the latest test results to generate the one or more overall scores; and

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

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

the analysis rules include 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 on the one or more scores based on the set of relationship rules for generating the recommendation.

9. A computer-aided learning method as recited in claim 1 further comprising 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.

10. A computer-aided learning method as recited in claim 9 further comprising 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.

11. 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 analysis rules include pre-requisite rules; and

the method further comprises the step of establishing a complexity-hierarchy among one or more line-items based on the pre-requisite rules, for generating the recommendation.

12. 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.

13. A computer-aided learning method as recited in claim 12 further comprising the step of accessing a report format from a report-storage medium;

and

wherein the step of generating a report is also based on the report format.

14. A computer-aided learning method as recited in claim 12 further comprising the step of querying the report.

15. 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.

16. A computer-aided learning method as recited in claim 15 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.

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

accessing the student'"'"'s prior-to-latest test results and latest test results from a test-results-storage medium;

accessing the time that each test was taken; and

generating, based on the accessed information, a recommendation, which indicates the student'"'"'s degree of forgetfulness in the subject as a function of time.

18. A computer-aided learning method as recited in claim 17 wherein:

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

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

the method further comprises the step of generating an overall score for each group of questions having the same line-item, with the overall score for each group of questions reflecting the student'"'"'s degree of forgetfulness in that group of questions as a function of time.

19. 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 from an analysis-rule-storage medium;

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

generating a recommendation 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.

20. A computer-aided learning method as recited in claim 19 wherein the recommendation also depends on the prior-to-the latest test results.

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, 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;

establishing a complexity-hierarchy among one or more line-items based on a set of pre-requisite rules; and

applying the 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.

22. A computer-aided learning method as recited in claim 21 wherein the one or more overall scores also depend on the student'"'"'s prior-to-the-latest test results.

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 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 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.

24. A computer-aided learning method as recited in claim 23 wherein the one or more overall scores also depend on the student'"'"'s prior-to-the-latest test results.

25. 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 from a report-storage medium;

accessing a recommendation, which is based on the latest test results; and

generating a report, based on the recommendation and the report format to provide assessment of the student'"'"'s understanding in at least two line-items in the latest test.

26. A computer-aided learning method as recited in claim 25 wherein the recommendation is also based on the student'"'"'s prior-to-the-latest test results.

27. 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; 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.

28. A computer-aided learning method as recited in claim 27 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 through comparing every recently generated question with all of the questions previously generated within the preset time.

29. 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 from a test-result-storage medium; and

analyzing the student'"'"'s latest test results using a set of analysis rules, with a plurality of the rules being subject-specific, 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.