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Method And System For Evaluating Performance Of A Teacher

Abstract: Disclosed herein is method and system for evaluating performance of a teacher. In an embodiment, the method includes retrieving a historical user satisfaction score and computing evaluation scores, comprising values of evaluation parameters, based on corresponding parameters retrieved from an evaluation database. Thereafter, the method includes creating a satisfaction score regression model for determining relationship between the historical user satisfaction score and the evaluation scores. Subsequently, the method includes simulating the satisfaction score regression model with respect to an expected satisfaction score for the determining modelled values of the evaluation parameters. Finally, the method includes notifying the modelled values, thereby indicating extent of changes required in each of the evaluation parameters. FIG. 1

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
25 March 2019
Publication Number
40/2020
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
bangalore@knspartners.com
Parent Application

Applicants

HITACHI, LTD.
6-6, Marunouchi 1-chome, Chiyoda-ku, Tokyo 100-8280

Inventors

1. PRANAY VERMA
c/o Hitachi India Pvt. Ltd., Unit No. S 704, 7th Floor, World Trade Center, Brigade Gateway Campus, No. 26/1, Dr. Rajkumar Road, Rajajinagar, Bangalore 560055
2. SATOSHI YASHIRO
c/o Hitachi India Pvt. Ltd., Unit No. S 704, 7th Floor, World Trade Center, Brigade Gateway Campus, No. 26/1, Dr. Rajkumar Road, Rajajinagar, Bangalore 560055

Claims

1. A method of evaluating performance of a teacher, the method comprising: retrieving, by a teacher evaluation system (107), a historical user satisfaction score (103) and one or more evaluation parameters (105) corresponding to the teacher from an evaluation database (101) associated with the teacher evaluation system (107); computing, by the teacher evaluation system (107), evaluation scores, comprising values of the one or more evaluation parameters (105), for the teacher, based on the one or more evaluation parameters (105), wherein values of each of the one or more evaluation parameters (105) correspond to a predetermined skill of the teacher; creating, by the teacher evaluation system (107), a satisfaction score regression model (109) corresponding to the historical user satisfaction score (103) and the evaluation scores for determining relationship between the historical user satisfaction score (103) and the evaluation scores; simulating, by the teacher evaluation system (107), the satisfaction score regression model (109) with respect to an expected user satisfaction score (111) of the teacher for determining modelled values (115) of the one or more evaluation parameters (105); and notifying, by the teacher evaluation system (107), the modelled values (115) of the one or more evaluation parameters (105).

2. The method as claimed in claim 1, wherein the one or more evaluation parameters (105) comprises at least one of effectiveness of the teacher, behaviour of the teacher and proficiency level of the teacher.

3. The method as claimed in claim 1, wherein the values of the one or more evaluation parameters (105) are determined using predefined evaluation models configured in the teacher evaluation system (107).

4. The method as claimed in claim 1, wherein the satisfaction score regression model (109) is created using predetermined modelling techniques including at least one of a non-linear regression analysis technique or a linear regression analysis technique.

5. The method as claimed in claim 1, wherein the expected user satisfaction score (111) is received from one or more reviewers of the teacher, through a user interface (113) associated with the teacher evaluation system (107).

6. The method as claimed in claim 1, wherein notifying the modelled values (115) of the one or more evaluation parameters (105) comprises providing the modelled values (115) on a user interface (113) associated with the teacher evaluation system (107).

7. A teacher evaluation system (107) for evaluating performance of a teacher, the teacher evaluation system (107) comprising: a processor (203); and a memory (205), communicatively coupled to the processor (203), wherein the memory (205) stores processor-executable instructions, which on execution, cause the processor (203) to: retrieve a historical user satisfaction score (103) and one or more evaluation parameters (105) corresponding to the teacher from an evaluation database (101) associated with the teacher evaluation system (107); compute evaluation scores, comprising values of the one or more evaluation parameters (105), for the teacher, based on the one or more evaluation parameters (105), wherein values of each of the one or more evaluation parameters (105) correspond to a predetermined skill of the teacher; create a satisfaction score regression model (109) corresponding to the historical user satisfaction score (103) and the evaluation scores to determine relationship between the historical user satisfaction score (103) and the evaluation scores; simulate the satisfaction score regression model (109) with respect to an expected user satisfaction score (111) of the teacher to determine modelled values (115) of the one or more evaluation parameters (105); and notify the modelled values (115) of the one or more evaluation parameters (105).

8. The teacher evaluation system (107) as claimed in claim 7, wherein the one or more evaluation parameters (105) comprises at least one of effectiveness of the teacher, behaviour of the teacher and proficiency level of the teacher.

9. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) determines the values of the one or more evaluation parameters (105) using predefined evaluation models configured in the teacher evaluation system (107).

10. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) creates the satisfaction score regression model (109) using predetermined modelling techniques including at least one of a non-linear regression analysis technique or a linear regression analysis technique.

11. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) receives the expected user satisfaction score (111) from one or more reviewers of the teacher, through a user interface (113) associated with the teacher evaluation system (107).

12. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) notifies the modelled values (115) of the one or more evaluation parameters (105) by providing the modelled values (115) on a user interface (113) associated with the teacher evaluation system (107). Dated this 25th day of March 2019 SANDEEP N. P OF K&S PARTNERS AGENT FOR THE APPLICANT IN/PA - 2851 , Description:TECHNICAL FIELD The present subject matter is, in general, related to evaluation of teachers and more particularly, but not exclusively, to a method and system for evaluating performance of a teacher.

Specification

Claims:WE CLAIM:

1. A method of evaluating performance of a teacher, the method comprising:
retrieving, by a teacher evaluation system (107), a historical user satisfaction score (103) and one or more evaluation parameters (105) corresponding to the teacher from an evaluation database (101) associated with the teacher evaluation system (107);
computing, by the teacher evaluation system (107), evaluation scores, comprising values of the one or more evaluation parameters (105), for the teacher, based on the one or more evaluation parameters (105), wherein values of each of the one or more evaluation parameters (105) correspond to a predetermined skill of the teacher;
creating, by the teacher evaluation system (107), a satisfaction score regression model (109) corresponding to the historical user satisfaction score (103) and the evaluation scores for determining relationship between the historical user satisfaction score (103) and the evaluation scores;
simulating, by the teacher evaluation system (107), the satisfaction score regression model (109) with respect to an expected user satisfaction score (111) of the teacher for determining modelled values (115) of the one or more evaluation parameters (105); and
notifying, by the teacher evaluation system (107), the modelled values (115) of the one or more evaluation parameters (105).

2. The method as claimed in claim 1, wherein the one or more evaluation parameters (105) comprises at least one of effectiveness of the teacher, behaviour of the teacher and proficiency level of the teacher.

3. The method as claimed in claim 1, wherein the values of the one or more evaluation parameters (105) are determined using predefined evaluation models configured in the teacher evaluation system (107).

4. The method as claimed in claim 1, wherein the satisfaction score regression model (109) is created using predetermined modelling techniques including at least one of a non-linear regression analysis technique or a linear regression analysis technique.

5. The method as claimed in claim 1, wherein the expected user satisfaction score (111) is received from one or more reviewers of the teacher, through a user interface (113) associated with the teacher evaluation system (107).

6. The method as claimed in claim 1, wherein notifying the modelled values (115) of the one or more evaluation parameters (105) comprises providing the modelled values (115) on a user interface (113) associated with the teacher evaluation system (107).

7. A teacher evaluation system (107) for evaluating performance of a teacher, the teacher evaluation system (107) comprising:
a processor (203); and
a memory (205), communicatively coupled to the processor (203), wherein the memory (205) stores processor-executable instructions, which on execution, cause the processor (203) to:
retrieve a historical user satisfaction score (103) and one or more evaluation parameters (105) corresponding to the teacher from an evaluation database (101) associated with the teacher evaluation system (107);
compute evaluation scores, comprising values of the one or more evaluation parameters (105), for the teacher, based on the one or more evaluation parameters (105), wherein values of each of the one or more evaluation parameters (105) correspond to a predetermined skill of the teacher;
create a satisfaction score regression model (109) corresponding to the historical user satisfaction score (103) and the evaluation scores to determine relationship between the historical user satisfaction score (103) and the evaluation scores;
simulate the satisfaction score regression model (109) with respect to an expected user satisfaction score (111) of the teacher to determine modelled values (115) of the one or more evaluation parameters (105); and
notify the modelled values (115) of the one or more evaluation parameters (105).

8. The teacher evaluation system (107) as claimed in claim 7, wherein the one or more evaluation parameters (105) comprises at least one of effectiveness of the teacher, behaviour of the teacher and proficiency level of the teacher.

9. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) determines the values of the one or more evaluation parameters (105) using predefined evaluation models configured in the teacher evaluation system (107).

10. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) creates the satisfaction score regression model (109) using predetermined modelling techniques including at least one of a non-linear regression analysis technique or a linear regression analysis technique.

11. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) receives the expected user satisfaction score (111) from one or more reviewers of the teacher, through a user interface (113) associated with the teacher evaluation system (107).

12. The teacher evaluation system (107) as claimed in claim 7, wherein the processor (203) notifies the modelled values (115) of the one or more evaluation parameters (105) by providing the modelled values (115) on a user interface (113) associated with the teacher evaluation system (107).

Dated this 25th day of March 2019

SANDEEP N. P
OF K&S PARTNERS
AGENT FOR THE APPLICANT
IN/PA - 2851
, Description:TECHNICAL FIELD
The present subject matter is, in general, related to evaluation of teachers and more particularly, but not exclusively, to a method and system for evaluating performance of a teacher.

Documents

Application Documents

# Name Date
1 201941011529-STATEMENT OF UNDERTAKING (FORM 3) [25-03-2019(online)].pdf 2019-03-25
2 201941011529-REQUEST FOR EXAMINATION (FORM-18) [25-03-2019(online)].pdf 2019-03-25
3 201941011529-FORM 18 [25-03-2019(online)].pdf 2019-03-25
4 201941011529-FORM 1 [25-03-2019(online)].pdf 2019-03-25
5 201941011529-DRAWINGS [25-03-2019(online)].pdf 2019-03-25
6 201941011529-DECLARATION OF INVENTORSHIP (FORM 5) [25-03-2019(online)].pdf 2019-03-25
7 201941011529-COMPLETE SPECIFICATION [25-03-2019(online)].pdf 2019-03-25
8 201941011529-Proof of Right (MANDATORY) [26-03-2019(online)].pdf 2019-03-26
9 Correspondence by Agent_Form1_29-03-2019.pdf 2019-03-29
10 201941011529-FORM-26 [16-04-2019(online)].pdf 2019-04-16
11 Correspondence by Agent_Power of Attorney_24-05-2019.pdf 2019-05-24
12 201941011529-FER.pdf 2021-10-17

Search Strategy

1 Search_Strategy_201941011529E_23-03-2021.pdf