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Indian eduaction system group 13 | MTH 423A IITK
1. MTH426A
Introduction To Mathematical Modelling
Instructor – Prof. Prawal Sinha
Group- 13
1. Dhruv Roosia (13252)
2. Jitendra Gawariya (13327)
3. Keshaw Singh (13347)
4. Kuldeep Soni (13362)
5. Nakul Surana (13418)
Indian Education System
2. Motivation
• Quality Education is the major driving force for country’s development.
• India currently faces a severe shortage of well-trained-skilled workers.
• Sections of the educated workforce have little or no job skills, making them largely unemployable.
(2.3% of Indians vs (50+)% in others)
• Therefore, India must focus on scaling up educational quality and removing gender bias to meet
the demands of employers and drive economic growth.
• We, as a young nation (50% less than 25years) have a lot of potential to create an impact on the
world map.
3. AIM
• Improving female to male ratio in skilled labour.
• Increasing total skilled workforce in India to meet future needs.
• Increasing number of skilled teachers in educational institutes.
5. Variables
i = gender (1=male, 2=female)
j = stage of education
k= job sector (1= primary, 2= secondary, 3= tertiary)
• NTi(x) : Number of people of age x and gender i from generation T who have potential to
get skilled in future
• dij : percentage dropouts of gender i at stage j of education
• Bi(T) : birth rate of generation T
• SLTik : Skilled labour
• Vk : vocational training in sector k
• ULTi : unskilled labour
• NTj : number of teachers at stage j
j :
1=before primary
2=till primary
3=till secondary
4=till senior secondary
6. Variables
• GEj : government expenditure in stage j
• PEj : private expenditure in stage j
• Gk : government expenditure in sector k
• GDPc : GDP per capita
• Intangible variables – TMj : teaching methodology in stage j
SBj : social bias in stage j