Objective of ITI Rating
The ITI Star Rating achieves the objective of giving the prospective students an insight into the available opportunities at an ITI before joining them and allows comparison across ITIs. This would enable aspirants to make an informed decision when choosing ITIs during admission. It also provides the ITIs with an objective rating which can be used as an indicator of scope for improvement. Currently, 170 Government ITIs which had students graduating in 2020 have been rated..
Rating parameters
To create a student-centric ITI rating, the department has identified parameters which are outcome based and relevant to prospective students. The parameters have been bucketed into 3 categories.
| Category | Parameter | Weightage in ITI Rating |
|---|---|---|
| Career Advancement | Wage Employment | 40% |
| Self Employment | ||
| Higher Education | ||
| Apprenticeship | ||
| Quality of Training | Pass Rate | 30% |
| Trainees with Distinction | ||
| Instructor Vacancy | ||
| Machinery Availability | ||
| Skilling Competition | ||
| Industry Partnership | Trainees sent for dual training | 30% |
| DST Trainees Placed | ||
| Industry support for workshops/equipment | ||
| Industry Visits | ||
| Total | 100% |
How are ratings calculated for parameters?
The overall rating is out of 10 stars and is calculated as a sum of the star rating of the following categories:
1. Career Advancement: Maximum number of stars achievable for this category is 4. The sum product of the number of students going for each category of career advancement and its weightage is divided by the total number of students to arrive at the Career Advancement Score (maximum 5). The weightage of the parameters is as follows:
| Parameter | Details | Weightage |
|---|---|---|
| Wage Employment | % students going for jobs | 5 |
| Self Employment | % students going for self employment | 2 |
| Higher Studies | % students going for higher studies | 3 |
| Apprenticeship | % students going for apprenticeship | 5 |
| Total | 15 |
This score is converted to star rating in the following manner:
| Career Advancement Score | Star Rating |
|---|---|
| >=3 | 4 stars |
| 2.5 <= & < 3 | 3 stars |
| 2 < = & < 2.5 | 2 stars |
| 1.5<= & < 2 | 1 stars |
| < 1.5 | 0 stars |
The data for career advancement has been collected from the department ERP as provided by ITI principals. The rating is available only for the ITIs who have provide data for at least 30% of students who have graduated in 2019.
2. Quality of Training: Maximum number of stars achievable for this category is 3. Each of the parameter values is converted to a score using a scale as follows:
| Pass Rate | Trainees with distinction | Instructor Vacancy | Machinery Availability | Score |
|---|---|---|---|---|
| >=90% | >=60% | <15% | >=75% | 5 |
| >=80% & <90% | >=50% & <60% | >=15% & <20% | >=60% & <75% | 4 |
| >=70% & <80% | >=40% & <50% | >=20% & <25% | >=50% & <60% | 3 |
| >=60% & <70% | >=30% & <40% | >=25% & <30% | >=40% & <50% | 2 |
| <60% | >=20% & <30% | <=30% & >40% | >=20% & <40% | 1 |
| <20% | >=40% | <20% | 0 |
| Skilling Competition |
|---|
 |
The sum product of parameter score and its weightage is divided by 15 to arrive at the Quality of Training Score (maximum 5). The weightage of the parameters is as follows:
| Parameter | Details | Weightage |
|---|---|---|
| Pass Rate | % trainees passed (last academic year) | 2 |
| Trainees with Distinction | % trainees securing greater than 80% in the final exam (last academic session) | 3 |
| Instructor Vacancy | Instructor availability against sanctioned posts (%) | 3 |
| Machinery Availability | Machinery available in the ITI (%) | 2 |
| Skilling Competition | Skilling Competition Participants | 5 |
| Total | 15 |
This score is converted to star rating in the following manner:
| Quality of Training Score | Star Rating |
|---|---|
| >=3 | 3 stars |
| 2.5<= & <3 | 2 stars |
| 2<= & < 2.5 | 1 stars |
| <2 | 0 stars |
The data for Pass Rate and Trainees with Distinction has been obtained from NCVT and SCVT. The Trainer Availability data has been obtained from the Departmental database.
3. Industrial Exposure: Maximum number of stars achievable for this category is 3. Each of the parameter values is converted to a score using a scale as follows:
| Trainees sent for dual training | DST Trainees Placed | Industry support for workshop | Industry support for equipment | Industry visits | Score |
|---|---|---|---|---|---|
| >=20% | >=80% | >=25% | >=25% | >=25% | 5 |
| >=15% & <20% | >=70% & <80% | >=20% & <25% | >=20% & <25% | >=20% & <25% | 4 |
| >=10% & <15% | >=60% & <70% | >=15% & <20% | >=15% & <20% | >=15% & <20% | 3 |
| >=5% & <10% | >=50% & <60% | >=10% & <15% | >=10% & <15% | >=10% & <15% | 2 |
| >0% & <5% | >0% & <50% | >0% & <10% | >0% & <10% | >0% & <10% | 1 |
| 0% | 0% | 0% | 0% | 0% | 0 |
The sum product of parameter score and its weightage is divided by 15 to arrive at the Industrial Exposure Score (maximum 5). The weightage of the parameters is as follows:
| Parameter | Details | Weightage |
|---|---|---|
| Trainees sent for dual training | % units which are under "Dual System of Training" mode (next academic year beginning in 2020) | 5 |
| DST Trainees Placed | Number of DST students placed in partner industries among those who are suppose to graduate in 2020 * (1-year students who enrolled in 2019) | 3 |
| Industry support for workshops/equipment | % students trained in workshops setup/sponsored by industries (last academic year) | 3 |
| % students trained on machiney / equipment provided by industries (last academic year) | 2 | |
| Industry Visits | % students who attended industry lectures | 2 |
| Total | 15 |
This score is converted to star rating in the following manner:
| Industrial Exposure Score | Star Rating |
|---|---|
| >=3 | 3 stars |
| 2.5<= & <3 | 2 stars |
| 2 <= & <2.5 | 1 stars |
| <2 | 0 stars |