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Aspiring Minds' National Trainers' Skills Report 2

Vocational trainers play a pivotal role in reducing the skill gap that exists invocational sectors by imparting training and development to new recruits.Therefore, it becomes imperative for them to be highly proficient in therequisite domain skills, along with possessing the adequate teaching acumen.

In this report, we provide an in-depth analysis of the proficiency of vocationalskill trainers in teaching skills and in their respective domain. The reportevaluates skill levels of trainers in eight vocational skill sectors – Apparel,Construction, Healthcare, Retail, Automobiles and components,Electronics/IT/ITeS/Hardware, Logistics and Tourism & Hospitality.

This report is based on the evaluation of over 500 vocational trainers whoparticipated in the Skill India Fellowship conducted by Aspiring Minds. Thesetrainers were assessed by conducting an online test, followed by an interviewwith a highly qualified jury. The trainers were evaluated on three areas –teaching aptitude and pedagogy, information gathering and synthesis skills anddomain knowledge in their respective sector.

Introduction


The key findings of the present study are as follows:

The study unveils that only 27.73% trainers have the required professional skillset in their choice of industry. Construction sector has as low as 7.14% trainers with requisite professional skill level, while Tourism/Hospitality sector has the highest percentage of 71.43%.

Lowest percent trainers with requisite skill proficiency observed in construction sector can be ascribed to their low performance in AMCAT modules – Instructor Aptitude Test, Information Gathering & Synthesis and Domain module.

Upon application of individual benchmarks on AMCAT modules, we find that only 48% trainers clear the cut-off for cognitive skill, 51% for instructor aptitude and 59% for domain knowledge.

Gender demographic analysis uncovers that females have higher skill competence and AMCAT scores. Similar analysis for the type of current city shows that, as expected, metro cities are likely to produce more skilled trainers than the non-metro cities.

City zones form pairs in terms of performance, where one pair is of North & South and the other is East & West having similar quality of trainers within the respective pair with the former being more prowess than the latter.

Age and experience of trainers do not act as a strong differentiating criteria of performance. However, highest educational degree is a good predictor of industry readiness, hence higher the qualification, the better is the skill level.

Executive Summary


Aspiring Minds Skill India Fellowship aims to recognize and award vocational skills trainers across India. The vision of this fellowship is to celebrate excellence in skills training to ensure increased aspirations, achievements, and pride.

Skill India Fellowshipa. Vision

b. MethodologyOnline applications invited on: http://skillindiafellowship.org/

Screening of applications basis eligibility criteria

Online test at 28 centres across India

Interviews at 5 regional centres. Highly qualified Jury members from each sector interviewed candidates on domain skills and teaching Pedagogy.

Selected top trainers from each sector to be awarded today

c. Sectors

Apparels

Automobile/Components

Construction Electronics/IT/Hardware

Healthcare Retails Tourism/Hospitality

Logistics


INTERVIEWS

ONLINE TEST

Information Gathering and Synthesis

Instructor Aptitude

Personality

Respective Domain Module

All the candidates were assessed on the following modules:

Domain Knowledge

Teaching Pedagogy

All the candidates shortlisted after online test were interviewed by Jury on:

d. Assessment

1300+Applicants

500+Online Tests

120+Interviews

30Winners

28%

72%Male

Female

Participation

2%

5%

11%

11%

12%

18%

18%

24%

Sector-wise distribution

Electronics/IT/ITeS/Hardware

Healthcare

Construction

Retail

Tourism/Hospitality

Automobiles/Components

Apparel

Logistics

19%

4%

4%

5%

5%

5%

5%

6%

7%

10%

13%

17%Maharashtra

Delhi

Rajasthan

Telangana

Orissa

Punjab

Uttar Pradesh

Others

Tamil Nadu

Chhattisgarh

Himachal Pradesh

Gujarat

State-wise distribution

Gender-wise distribution



1. Sector-wise Analysis

a. Skill comparison

• Benchmarking studies done by Aspiring Minds quantifies minimum professional threshold for different sectors by a theoretical understanding and empirical validation of the knowledge, cognitive skills and domain expertise required.

• On applying the minimum required threshold, we find that percentage of trainers who have the requisite skill level varies from 7.14% in Construction sector to 56.86% in Tourism/Hospitality sector.

• As low as 27 out of 100 trainers show professional competence in their choice of role. It is crucial to take proper measures to improve these figures.

*Sectors like Apparels and Logistics are categorized as Others due to insufficient sample size

56.86%

48.21%

31.03%

27.38%

20.91%

20.41%

7.14%

27.43%

0% 20% 40% 60% 80% 100%

T OUR IS M / H OS PIT AL IT Y

R ET AIL

OT H ER S *

H EAL T H CAR E

EL ECT R ON ICS / IT / IT ES / H AR DW AR E

AUT OM OB IL ES / AUT O COM PON EN T S

CON S T R UCT ION

OV ER AL L

SECTORS

b. Mean scores

• The reason for lowest proficiency of trainers in Construction sector can be attributed to their performance on all three AMCAT modules.

• For Instructor Aptitude Test and Domain module, Tourism/Hospitality sector scores highest while Construction sector scores lowest with a difference of 186 and 347 points respectively.

• Trainers from Tourism/Hospitality sector have scored highest, and followed by those from Retail and Healthcare.


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Instructor Aptitude Test Information Gathering and Synthesis

Domain

SCO

RES

Construction Others

Automobiles/Auto Components Electronics/IT/ITES/Hardware

Healthcare Retail

Tourism/Hospitality

Skill gap analysis was carried out as part of this study. The analysis was individually carried out for each module. A skill gap exists if the trainer does not meet the required threshold/cut-off in that particular module. Hence, a trainer can have a skill gap in one or more modules.

51%49%

INSTRUCTORAPTITUDE TEST

48%52%

INFORMATION GATHERING & SYNTHESIS

59%41%

DOMAIN MODULE

• Maximum skill gap is observed for Information Gathering & Synthesis (IGS) module, where only 48% trainer are able to demonstrate requisite cognitive skillset.

• IGS is followed by Instructor Aptitude test, where 51% can which is slightly more than that observed for IGS.

• Least gap is observed for Domain module. However only 60% trainer being able to clear the minimum industry threshold raises great concern for the vocational skill development.


2. Skill Gap

Have requisite skills

Do not have the requisite skills

Gender Throughput

Male 25.30%

Female 32.82%


3. Demographic Analysis

a. Gender

• Females are observed to be more proficient than males. To further understand the gap, the study also investigates skills which are deficient in males when compared with those in females.

• The reason for higher proficiency in females than males can be accredited to their performance in cognitive and domain skills.

• Contrary to the popular opinion, instructor aptitude is not the area of highest score difference.

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Domain

SCO

RES

Male Female


b. Region

Zone

Zone Throughput

North 36.36%

South 34.12%

West 17.69%

East 20.78%

• Proficiency of trainers from Northern and Southern zone are at par with one another with north performing slightly better, which is supported by their AMCAT scores.

• Eastern zone has slightly higher proficiency than Western, while an opposite trend is observed for their AMCAT score where West has scored more in instructor aptitude and IGS modules.

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Domain

SCO

RES

North South West East


Metro vs. Non-Metro cities

Current city Throughput

Metro 38.52%

Non Metro 23.46%

• As expected, a drop in proficiency level is observed for trainers from non-metro cities when compared with those from metro cities. This can be attributed to better exposure and training facilities available in metro cities.

• It is observed that trainers from metro cities have higher scores across all modules. Widest gap of 90 points is observed in instructor aptitude, followed by cognitive (61 points) and domain knowledge (45 points).

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Domain

SCO

RES

Metro Non Metro


c. Highest Education

Highest Education Throughput

Diploma 12.26%

Bachelor’s Degree 28.49%

Master’s Degree 45.00%

• The study shows that skill proficiency is directly proportional to the level of education. Trainers with masters’ degree are 1.6 times more competent than those with bachelor’s degrees. The gap increases to 3.7 times when they are compared with diploma holders.

• Similar trends are observed for AMCAT scores as well. It is observed that highest gap between trainers with master’s degree and those with diploma is observed across IGS (162), while least is observed across domain modules (71).

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Domain

SCO

RES

Diploma Bachelor’s Degree Master’s Degree


d. Age

Age Throughput

less than or equal to 25 30.30%

26-30 years 29.14%

31-35 years 22.09%

36-40 years 27.21%

• The analysis shows that trainer’s age is not a direct indicator of skill expertise, making it bereft of any age bias.

• Similar unbiased mean score distribution is observed across AMCAT’s Instructor Aptitude Test, Information Gathering & Synthesis and Domain modules.

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Domain

SCO

RES

less than or equal to 25 26-30 years 31-35 years above 36 years


e. Experience

Experience Throughput

0-1 years 26.92%

1-2 years 33.87%

2-5 years 24.62%

5-10 years 24.42%

above 10 years 24.44%

• Trainers with 1-2 years of experience are most skill proficient (33.87%), while proficiency of rest of the groups is at par with one another ranging between 24.42% (for 5-10 years experience) and 26.92% (for 0-1 years of experience).

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Domain

SCO

RES

0-1 years 1-2 years 2-5 years 5-10 years above 10 years


4. Winners’ Analysis

TrainerInstructor Aptitude

Test

Information Gathering &

SynthesisDomain Throughput

Winner 740 787 775 96.67%

Rest of the trainers 659 717 750 82.19%

• Winners are selected from each sector on the basis of their interview performance and mean scores. There were 30 winners in total.

• On comparing mean scores of winners with that of remaining trainers who were shortlisted for interview, it is observed that winners have performed significantly better than the remaining trainers.

• This difference in mean scores of the two groups indicates that the recommended test modules are good measures of skill competence.

Winners are selected from each sector on the basis of their interview performance and scores. There are 30 winners in total.

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