ASSESSING THE SKILL GAP OF JOB CANDIDATES IN THIS AGE OF ARTIFICIAL INTELLIGENCE(AI)
PRESENTED BY
M.Nivedha
MBA-International Business
12-05-2023
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INTRODUCTION
The increasing advancements of Artificial Intelligence (AI) and automation in various industries has led to a shift in the demand for skills and knowledge among job candidates. As a result, there is a growing need to assess the skill gap of job candidates in this age of AI to ensure that they possess the necessary competencies to work effectively in a world where AI is becoming increasingly prevalent.
NEED FOR THIS STUDY:
Assessing the skill gap of job candidates in the AI age is crucial for several reasons. AI is transforming the job market, creating new jobs and automating existing ones, changing the skills required to succeed.
The gap between job candidate skills and requirements can lead to economic inefficiencies. Identifying skills in demand and lacking areas can enable policymakers and educators to develop targeted interventions and promote growth.
Job seekers can benefit from knowing the skills needed to be competitive, make informed decisions about their training and education, and position themselves for success.
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WHAT IS ARTIFICIAL INTELLIGENCE ?
Artificial intelligence (AI) refers to the ability of machines or computer programs to perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and learning from experience. AI systems use algorithms and statistical models to analyze and interpret large amounts of data, enabling them to learn and improve over time. AI is an interdisciplinary field that encompasses computer science, engineering, mathematics and psychology among others and it has a wide range of applications in various industries, including healthcare, finance, and manufacturing.
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RESEARCH BACKGROUND
Reference of BBC Report on March 29,2023:
With Artificial Intelligence gaining popularity globally, one question that comes up time and time again is whether AI will take over jobs from humans. A new report by investment bank Goldman Sachs has the answer, and it is not good news. The report, as per BBC, says that AI could potentially replace the equivalent of around 300 million full-time jobs. Roughly two-thirds of work in the US and Europe risk some degree of automation. Additionally, it may also lead to a productivity boom, with a seven per cent increase in the total annual value of goods and services produced globally over a 10-year period.
Reference of World Economic Forum report:
Artificial Intelligence, AI and technology are expected to displace around 85 million jobs by the year 2025. This finding comes from the latest Global Risks Report 2023 issued by the World Economic Forum. With the rise of AI tools, such as ChatGPT and more, many jobs are expected to be displaced.
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COUNTRIES MOST AND LEAST LIKELY TO BE AFFECTED BY AUTOMATION
SOURCE: Mckinsey Global Institute
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India ranking at No.6th position among the Asian countries with 51.8 % of chance of Automation
And Ranking at No.8th position in worldwide in comparison with other countries of the world
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FUTURE OF JOB REPORT
SOURCE: World Economic Forum
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RESKILLING AND UPSKILLING
Why is it important?
Embracing the consumption and productivity benefits of AI will require businesses and governments to collaborate on massive reskilling and upskilling initiatives to help employees retrain and prepare for new and future jobs. 10 In the next few years, 3% of jobs will be potentially automated by AI, according to PwC’s report “Will robots really steal our jobs?” Increased digitization resulting from COVID-19 may accelerate this trend.
By the mid-2030s, as AI advances and becomes more autonomous, 30% of jobs and 44% of workers with low levels of education will be at risk of automation. In the next five years, half of all workers will require some upskilling or reskilling to prepare for changing and new jobs, according to the World Economic Forum.
The rapid pace of technological change requires new models for training that prepare employees for an AI-based future. True upskilling requires a citizen-led approach focused on applying new knowledge to develop an AI-ready mindset. Employers should view upskilling and reskilling as an investment in the future of their organization, not an expense
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OBJECTIVES
The objectives of this project are :
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RESEARCH METHODOLOGY
SURVEY
Survey research: This methodology involved collecting data from a sample of future job candidates, employees and Business people through an online survey ,in-person interviews and telephonic interviews
The survey included questions about the skills and knowledge required for AI-related jobs and the extent to which job candidates possess these skills and knowledge.
SAMPLE SIZE
The sample size of the research is 140
NATURE OF DATA AND DATA COLLECTION
This study has relied on primary data. Primary data are those that are new, are gathered for the first time, and are therefore unique in nature. In this study, data were gathered through in-person interviews, Telephonic interviews and Google forms using the questionnaire approach.
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QUESTIONARIES AND DATA COLLECTED
GENERAL QUESTIONARIES ASKED
Other Questionaries …..
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GENERAL QUESTIONARIES & RESPONSE DATA INTERPRETATIONS
AGE
Total Respondents: 135
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AGE INTERVAL | NO OF. PEOPLE | PERCENTAGE OF PEOPLE |
15-17 | 4 | 3% |
18-25 | 118 | 87.4% |
26-35 | 8 | 5.9% |
36-45 | 2 | 1.5% |
45&Above | 4 | 3% |
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GENDER
DESIGNATION
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GENDER | TOTAL NO .OF PEOPLE | PERCENTAGE |
MALE | 69 | 51.1% |
FEMALE | 66 | 49.9% |
DESIGNATION | TOTAL NO.OF PEOPLE | PERCENTAGE |
Entrepreneur | 8 | 5.9% |
Employee/Executive | 27 | 20% |
Student | 100 | 74% |
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COUNTRY THEY BELONG TO
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COUNTRY | NO.OF RESPONDENTS |
India | 18 |
Assam | 1 |
Bangalore | 1 |
Chennai | 2 |
Hyderabad | 1 |
Kerala | 1 |
maharashtra | 1 |
punjab | 1 |
rajasthan | 1 |
tamilnadu | 29 |
Puducherry | 77 |
INDIA | 133 |
FRANCE | 1 |
NORTHERN IRELAND | 1 |
TOTAL | 135 |
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HIGHEST QUALIFICATION
NEXT PLAN AFTER THIS:
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HIGHEST QUALIFICATION | TOTAL NO.OF PEOPLE | PERCENTAGE |
Doctoral degree | 0 | 0 |
Masters degree | 75 | 55.6% |
Bachelors degree | 52 | 38.4% |
Diploma or related course | 4 | 3% |
HSC | 4 | 3% |
NEXT PLAN | TOTAL NO. OF PEOPLE | PERCENTAGE |
Going to a job | 85 | 63% |
Career switch | 8 | 5.9% |
Entrepreneurship | 13 | 9.6% |
Developing the existing business | 4 | 3% |
Higher Studies | 24 | 17.8% |
Farming | 1 | 0.7% |
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KEY QUESTIONARIES
QUESTION 1: PARAMETRIC QUESTION(Likert Scale 1-5)
Are you Aware of the recent discussions that AI(Artificial Intelligence) advancements might eventually take over / replace many jobs?
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AWARENESS SCALE | NO.OF PEOPLE | PERCENTAGE |
1 | 8 | 5.9% |
2 | 7 | 5.2% |
3 | 36 | 26.7% |
4 | 36 | 26.7% |
5 | 48 | 35.6% |
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QUESTION 2:What are all the industries do you think will be most influenced by the introduction of AI ?
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INDUSTRIES | NO.OF PEOPLE | PERCENTA -GE(%) |
Manufacturing(Eg.Robots & AI automated machines) | 91 | 67.4 |
Transportation(Eg.Self Driving Vehicles) | 49 | 36.3 |
Customer Service(Eg.Chatbots etc..) | 47 | 34.8 |
Healthcare(Eg.Diagnosis of some disease by AIs) | 40 | 29.6 |
Retail(Eg.AI systems and services used in E.com Biz) | 40 | 29.6 |
Banking&Finance(Eg.Fraud detection services etc..) | 62 | 45.9 |
Construction(Robots&AI automated machines) | 39 | 28.9 |
Journalism/content writing/creative works(Eg. ChatGPT, Midjourney etc..) | 56 | 41.5 |
Legal | 13 | 9.6 |
Agriculture(Eg.Robots & Drones) | 31 | 23 |
Education(Eg.Robots that can teach,Virtual classrooms) | 55 | 40.7 |
Other | 3 | 2.2 |
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QUESTION 3:Non parametric Question
Are you willing to position yourself in the best career by pursuing the best opportunities and roles in your particular field by reskilling or upskilling yourself?
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YES | 128 | 94.8% |
NO | 7 | 5.2% |
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QUESTIONARIES FOR THOSE WHO ARE WILLING
QUESTION 1 : If yes, What skills do you think will be most valuable for your jobs in this AI era. ( 1 being the LEAST VALUABLE and 5 being the MOST VALUABLE) mark accordingly as per your considerations.
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SKILLS | 1 | 2 | 3 | 4 | 5 |
Creativity & Innovation | 10 | 15 | 25 | 35 | 42 |
Emotional Intelligence | 8 | 26 | 38 | 28 | 28 |
Critical Thinking &Analytical Skills | 9 | 11 | 36 | 30 | 42 |
Adaptability & Flexibility | 8 | 18 | 32 | 26 | 44 |
Collaboration & Communication | 7 | 14 | 31 | 35 | 41 |
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QUESTION 2: ABOUT CHALLENGES THEY FACE
Do you think you might face any challenge on developing these skills ?
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YES | 104 | 81.3% |
NO | 24 | 18.8% |
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QUESTION:3
If Yes, What would be the possible challenges you might face?
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CHALLENGES | TOTAL NO.OF PEOPLE | PERCENT-AGE(%) |
Identifying the right skills that is suitable | 71 | 61.2 |
Limited industry exposure | 40 | 34.5 |
Limited practical experience | 56 | 48.3 |
Limited access to technology | 30 | 25.9 |
Fear of winning the competition race | 25 | 21.6 |
Other | 1 | 0.9 |
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QUESTION 4: POSSIBLE SOLUTION
What do you think is the best way to overcome these challenges for the skill gap?
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WAYS TO OVERCOME THIS CHALLENGE | NO.OF PEOPLE | PERCENTAGE (%) |
Bringing out relevant reforms in the education system/Training & Development sector | 28 | 21.9 |
Self Development | 29 | 22.7 |
Both | 71 | 55.5 |
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OPTED BOTH:
QUESTION 1:REFORMS IN EDUCATION SYSTEM / TRAINING & DEVELOPMENT SECTOR
What are the possible reforms you think that an education system / Training & Development sector can bring to prepare students for upcoming Job trends ?
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POSSIBLE REFORMS | TOTAL NO.OF PEOPLE | PERCENTAGE (%) |
Emphasize critical thinking & Problem solving skills | 50 | 70.4 |
Encourage Interdisciplinary learning | 33 | 46.5 |
Offer more Technical Training | 43 | 60.6 |
Prefer more Practical knowledge than theoritical knowledge | 42 | 59.2 |
Updated Curriculum | 30 | 42.3 |
Appointing relevantly Skilled teachers | 27 | 38 |
Providing opportunities to work on creative/innovative projects and encourage the Students or candidates | 50 | 70.4 |
SELF DEVELOPMENT | NO.OF PEOPLE | PERCENT -AGE(%) |
Doing Specialization in related courses in high demand jobs | 41 | 57.7 |
Continuous learning (Staying updated of recent trends) | 54 | 76.1 |
Collaborating yourself with various projects/internships | 42 | 59.2 |
Improving the soft skills by themselves like communication,leadership,teamwork | 50 | 70.4 |
Other | 2 | 2.8 |
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OPTED ONLY SELF DEVELOPMENT
QUESTION:How can an individual develop skills for post AI jobs on their own ?
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SELF DEVELOPMENT | NO.OF PEOPLE | PERCENT -AGE(%) |
Doing Specialization in related courses in high demand jobs | 12 | 41.4 |
Continuous learning (Staying updated of recent trends) | 20 | 69 |
Collaborating yourself with various projects/internships | 9 | 31 |
Improving the soft skills by themselves like communication,leadership,teamwork | 14 | 48.3 |
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OPTED TO REFORMS IN EDUCATION SYSTEM / TRAINING & DEVELOPMENT SECTOR
QUESTION: What are the possible reforms you think that an education system / Training & Development sector can bring to prepare students for upcoming Job trends ?
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POSSIBLE REFORMS | TOTAL NO.OF PEOPLE | PERCENTAGE (%) |
Emphasize critical thinking & Problem solving skills | 12 | 42.9 |
Encourage Interdisciplinary learning | 5 | 17.9 |
Offer more Technical Training | 12 | 42.9 |
Prefer more Practical knowledge than theoritical knowledge | 12 | 42.9 |
Updated Curriculum | 12 | 42.9 |
Appointing relevantly Skilled teachers | 7 | 25 |
Providing opportunities to work on creative/innovative projects and encourage the Students or candidates | 11 | 39.3 |
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DATA ANALYSIS AND INTERPRETATIONS
1.TO FIND THE AWARENESS LEVEL OF PEOPLE
NO.OF RESPONDENTS:135
INTERPRETED DATA
RESULT:
Here out of 135 respondents nearly 62.30% that is 84 respondents are highly Aware of the recent discussions that AI(Artificial Intelligence) advancements might eventually take over / replace many jobs, Which is the maximum number more than 50% of the total sample population, Followed by neutral awareness of 26.70% and comparatively low awareness of 11.10%.
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AWARENESS SCALE | NO.OF PEOPLE | PERCENTAGE |
1 | 8 | 5.9% |
2 | 7 | 5.2% |
3 | 36 | 26.7% |
4 | 36 | 26.7% |
5 | 48 | 35.6% |
| highly aware(4&5) | neutral(3) | Less aware(1&2) |
frequency | 84 | 36 | 15 |
percentage | 62.30% | 26.70% | 11.10% |
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2.ASSESSING THE MOST VALUABLE SKILL
2.1:Are people really willing to position themselves in the best career by pursuing the best opportunities and roles in their particular field by reskilling or upskilling themselves ?
INTERPRETED DATA:
TOTAL RESPONDENTS: 135
2.2:Assessing the Most valuable skill – TOTAL RESPONDENTS: 128
INTERPRETED DATA:
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YES | 128 | 94.8% |
NO | 7 | 5.2% |
SKILLS | 1 | 2 | 3 | 4 | 5 |
Creativity & Innovation | 10 | 15 | 25 | 35 | 42 |
Emotional Intelligence | 8 | 26 | 38 | 28 | 28 |
Critical Thinking &Analytical Skills | 9 | 11 | 36 | 30 | 42 |
Adaptability & Flexibility | 8 | 18 | 32 | 26 | 44 |
Collaboration & Communication | 7 | 14 | 31 | 35 | 41 |
SKILLS | Highly valuable(4-5) | Average(3) | comparitively less valuable(1-2) |
Creativity & Innovation | 77 | 25 | 25 |
Emotional Intelligence | 56 | 38 | 34 |
Critical Thinking &Analytical Skills | 72 | 36 | 20 |
Adaptability & Flexibility | 70 | 32 | 26 |
Collaboration & Communication | 76 | 31 | 21 |
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DESCRIPTIVE ANALYSIS
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Highly valuable(4-5) | |
|
|
Mean | 70.2 |
Standard Error | 3.773592 |
Median | 72 |
Mode | #N/A |
Standard Deviation | 8.438009 |
Sample Variance | 71.2 |
Kurtosis | 2.834278 |
Skewness | -1.62837 |
Range | 21 |
Minimum | 56 |
Maximum | 77 |
Sum | 351 |
Count | 5 |
INTERPRETATION:
Mean:70.2
Standard Deviation:8.438
Skewness:-1.62837
Here,The standard deviation is less than nearly 1/3rd of the mean .Which means the Sample data are closely bounded.
The skewness is close to zero and it is negatively Skewed
means,the majority of the sample is normally distributed,very close to the mean,only minority of the sample is below the mean value
Now we can conclude that ALL the skills are Highly valuable with just a minor difference between them. The ranking is given based on the descriptive analysis as
RESULT:
SKILLS | Value |
Creativity and Innovation | Very Highly valuable |
Collaboration and Communication | Very Highly valuable |
Critical thinking & Analytical skills | Very Highly Valuable |
Adapatability and Flexibility | Very Highly valuable |
Emotional Intelligence | Highly Valuable |
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3.ASSESING THE CHALLENGES FACED BY PEOPLE WHILE RESKILLING /UPSKILLING
3.1 Do people really face challenges on reskilling /upskilling themselves?
DATA INTERPRETATION
TOTAL SAMPLE SIZE:128
3.2 If Yes, What would be the possible challenges you might face?
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YES | 104 | 81.3% |
NO | 24 | 18.8% |
CHALLENGES | TOTAL NO.OF PEOPLE | PERCENT-AGE(%) |
Identifying the right skills that is suitable | 71 | 61.2 |
Limited industry exposure | 40 | 34.5 |
Limited practical experience | 56 | 48.3 |
Limited access to technology | 30 | 25.9 |
Fear of winning the competition race | 25 | 21.6 |
DATA INTERPRETATION
DESCRIPTIVE ANALYSIS
Sample data analysis on challenges | |
|
|
Mean | 44.4 |
Standard Error | 8.500588215 |
Median | 40 |
Mode | #N/A |
Standard Deviation | 19.0078931 |
Sample Variance | 361.3 |
Kurtosis | -1.260879521 |
Skewness | 0.607290653 |
Range | 46 |
Minimum | 25 |
Maximum | 71 |
Sum | 222 |
Count | 5 |
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INTERPRETATION:
Mean:44.4
Standard Deviation:19.0078931
Skewness: 0.607290653
Here,The standard deviation is less than nearly 1/2nd part than that of the mean .Which means the Sample data are somewhat closely bounded.
The skewness is close to zero and it is Positively Skewed.
means,the majority of the sample is normally distributed, very close to the mean, only minority of the sample is above the mean value
Now we can conclude that 2-3 out of 5 challenges are most commonly faced by the Sample Population with just a minor difference between them. The ranking is given based on the descriptive analysis as
RESULT:
Challenges | Effectiveness of Challenge |
Identifying the right skills that is suitable | The Most Commonly faced challenge |
Limited practical experience | More commonly faced challenge |
Limited industry exposure | Commonly faced challenge |
Limited access to technology | Comparitively less commonly faced challenge |
Fear of winning the competition race | Comparitively less commonly faced challenge |
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4 . ASSESSING THE MOST EFFECTIVE WAYS TO OVERCOME THE CHALLENGE�
4.1 QUESTION:What do you think is the best way to overcome these challenges for the skill gap?
DATA INTERPRETED
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WAYS TO OVERCOME THIS CHALLENGE | NO.OF PEOPLE | PERCENTAGE (%) |
Bringing out relevant reforms in the education system/Training & Development sector | 28 | 21.9 |
Self Development | 29 | 22.7 |
Both | 71 | 55.5 |
4.2 OPTED BOTH
QUESTION 1:REFORMS IN EDUCATION SYSTEM / TRAINING & DEVELOPMENT SECTOR
What are the possible reforms you think that an education system / Training & Development sector can bring to prepare students for upcoming Job trends ?
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DATA INTERPRETED
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POSSIBLE REFORMS | TOTAL NO.OF PEOPLE | PERCENTAGE (%) | |
Emphasize critical thinking & Problem solving skills | 50 | 70.4 | |
Encourage Interdisciplinary learning | 33 | 46.5 | |
Offer more Technical Training | 43 | 60.6 | |
Prefer more Practical knowledge than theoritical knowledge | 42 | 59.2 | |
Updated Curriculum | 30 | 42.3 | |
Appointing relevantly Skilled teachers | 27 | 38 | |
Providing opportunities to work on creative/innovative projects and encourage the Students or candidates | 50 | 70.4 | |
DESCRIPTIVE STATISTICS
Mean | 39.29 |
Standard Error | 3.54 |
Median | 42.00 |
Mode | 50.00 |
Standard Deviation | 9.38 |
Sample Variance | 87.90 |
Kurtosis | -1.87 |
Skewness | -0.11 |
Range | 23.00 |
Minimum | 27.00 |
Maximum | 50.00 |
Sum | 275.00 |
Count | 7.00 |
INTERPRETATION:
Mean:39.29
Standard Deviation:9.38
Skewness:-0.11
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Here,The standard deviation is less than nearly 1/4th of the mean .Which means the Sample data are closely bounded.
The skewness is close to zero and it is negatively Skewed
means,the majority of the sample is normally distributed,very close to the mean,only minority of the sample is below the mean value
Now we can conclude that ALL the Possible reforms in EDUCATION and TRAINING& DEVELOPMENT SECTOR are Highly Welcomed with just a minor difference between them. The ranking is given based on the descriptive analysis as
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REFORMS | NEEDNESS |
Emphasize critical thinking & Problem solving skills | Very Highly needed |
Providing opportunities to work on creative/innovative projects and encourage the Students or candidates | Very highly needed |
Offer more Technical Training | Very Highly needed |
Prefer more Practical knowledge than theoritical knowledge | Highly needed |
Encourage Interdisciplinary learning | Highly needed |
Updated Curriculum | Needed |
Appointing relevantly Skilled teachers/Trainers | Needed |
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QUESTION 2:How can an individual develop their skills for post AI jobs on their own
DATA INTERPRETED
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SELF DEVELOPMENT | Frequency | PERCENT -AGE(%) |
Doing Specialization in related courses in high demand jobs | 41 | 57.7 |
Continuous learning (Staying updated of recent trends) | 54 | 76.1 |
Collaborating yourself with various projects/internships | 42 | 59.2 |
Improving the soft skills by themselves like communication,leadership,teamwork | 50 | 70.4 |
Other | 2 | 2.8 |
SELF DEVELOPMENT |
|
|
|
Mean | 46.75 |
Standard Error | 3.145764 |
Median | 46 |
Mode | #N/A |
Standard Deviation | 6.291529 |
Sample Variance | 39.58333 |
Kurtosis | -3.97642 |
Skewness | 0.316215 |
Range | 13 |
Minimum | 41 |
Maximum | 54 |
Sum | 187 |
Count | 4 |
DESCRIPTIVE STATISTICS
INTERPRETATION
Mean:46.75
Standard Deviation:6.29
Skewness: 0.3162
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Here,The standard deviation is less than nearly 1/7th part than that of the mean .Which means the Sample data are very closely bounded.
The skewness is close to zero and it is Positively Skewed.
means,the majority of the sample is normally distributed, very close to the mean, only minority of the sample is above the mean value
Now we can conclude that all the Self development practices are most commonly needed for the skill development of Job candidates in this age of AI . The ranking is given based on the descriptive analysis as
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SELF DEVELOPMENT PRACTICES | NEEDNESS |
Continuous learning (Staying updated of recent trends) | Very Highly needed |
Improving the soft skills by themselves like communication,leadership,teamwork | Very highly needed |
Collaborating yourself with various projects/internships | Very Highly needed |
Doing Specialization in related courses in high demand jobs | Highly needed |
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5.COMPARISON TEST
Association between Age and frequency of next plan selection of Sample population:
DATA ANALYSIS:
INTERPRETED DATA: Distribution between age & Frequency
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AGE | Count of What is your next plan after this |
15-17 | 3 |
Entrepreneurship | 1 |
Higher Studies | 2 |
18-25 | 118 |
Career shift | 8 |
Developing your Existing Business | 2 |
Entrepreneurship | 8 |
going to a job | 81 |
Higher Studies | 19 |
26-35 | 8 |
going to a job | 4 |
Higher Studies | 3 |
Job & entrepreneurship | 1 |
36-45 | 2 |
Developing your Existing Business | 2 |
45 and above | 4 |
Entrepreneurship | 2 |
Farming | 1 |
Self business | 1 |
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DATA ANALYSIS: Chi Square test is used here to analyse the data
OBSERVED OUTCOME EXPECTED OUTCOME
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AGE/NEXT PLAN | GOING TO A JOB | HIGHER STUDIES | TOTAL |
18-25 | 81 | 19 | 100 |
26-35 | 4 | 3 | 7 |
TOTAL | 85 | 22 | 107 |
AGE/NEXT PLAN | GOING TO A JOB | HIGHER STUDIES | TOTAL |
18-25 | 79.43925234 | 20.56074766 | 100 |
26-35 | 5.560747664 | 1.439252336 | 7 |
TOTAL | 85 | 22 | 107 |
AGE/NEXT PLAN | GOING TO A JOB | HIGHER STUDIES | |
18-25 | 0.030664101 | 0.118474936 | |
26-35 | 0.438058588 | 1.69249909 | |
|
|
| |
ANALYSED OUTCOME
CHI SQUARE TEST
X^2 | 2.279696715 |
df | 1 |
p value | 0.131077503 |
other p value | 0.131077503 |
REASON FOR USING CHI-SQUARE TEST:
To check whether there is any association between age and the people’s next plan.
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INTERPRETATION:
Calculated p-value through the Chi-square test is: 0.1310
HYPOTHESIS:
NULL HYPOTHESIS
There is no association between age and next plan they have chose
P>0.05 where alpha=0.05
ALTERNATE HYPOTHESIS
There is an association between age and next plan
P<0.05 where alpha=0.05
Now the calculated p value from the analysis is 0.1310>0.05.
Therefore we reject the Alternate Hypothesis
Outcome: Null hypothesis is True
RESULT: There is no association between age and the next plan Chosen
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OUTCOMES :
Nearly 62.30% are highly Aware of the recent discussions that AI(Artificial Intelligence) advancements might eventually take over / replace many jobs.
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SKILLS | Value |
Creativity and Innovation | Very Highly valuable |
Collaboration and Communication | Very Highly valuable |
Critical thinking & Analytical skills | Very Highly Valuable |
Adapatability and Flexibility | Very Highly valuable |
Emotional Intelligence | Highly Valuable |
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CONCLUSION
The assessment process involved identifying the most critical skills and knowledge required, assessing the extent to which job candidates possess these skills, determining the skill gap that exists, identifying the factors contributing to the skill gap, and developing strategies to bridge the gap and improve the readiness of job candidates for AI-driven work environments.
This project aims to help employers and job seekers understand the essential skills needed in the age of AI and address the skill gap through targeted training and education programs.
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THANK YOU
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