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Posted: Sun May 03, 2009 6:54 am Post subject: A great Whitepaper on the Quality of Education in India. |
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Quality Concerns in Primary Education in India
Where is the Problem?
Yash Aggarwal, NIEPA
The destiny of India is now being shaped in her classrooms.
Education Commission, 1964-66.
This is how the Education Commission described the role of education in social and economic transformation of India. While the development planners rightly recognized that expansion of educational facilities has to be accompanied with significant improvements in quality and relevance of education at all levels, the outcome is quite disappointing1. At the international level, the development experience in social sectors shows that a literate society has enormous gains over an illiterate society and no illiterate society has ever been able to modernize and progress. We are now transiting to a knowledge society where the quality and relevance of education would play a crucial role in economic development. Poor quality of teaching learning and systemic level inefficiencies affect the learners as well the society in may ways. The long-term implications include lower productivity levels of the perspective workforce, resistance to modernization and perpetuation of inefficient production systems where cost benefit ratio adversely affect the economic sustainability of production processes.
Concerns for quality of education
As far as the provision of access and coverage is concerned, India today boasts of its educational system being the second largest in the world. It consists of nearly 610 thousand primary and 185 thousand upper primary schools, about a quarter million nonformal education centers, about 1.87 million teachers and 110 million students study in primary classes in the recognized schools (1997-9 . As per 1991 Census estimates there
were about 115.6 million children in primary school going age group in the country2. The latest educational statistics indicate a GER of 89.7 percent for primary classes (81.2 percent being for girls and 97.7 percent for boys)3. The number of students in primary classes in India is larger than the total population of the neighboring Bangladesh. No
doubt, the system can claim it to be one of the largest, but it can not make similar claims for efficiency, quality and achievement of learners?
Various five years plans incorporated programs and strategies based on periodic assessment of the progress of education by the Ministry of Education, Commissions and 1 Government of India. (1951). First Five Year Plan, Government of India, New Delhi.
2 The data on the number of school going age group children is computed from Social and Cultural Tables, Census of India, 1991.
3 For details see Selected Educational Statistics, 1997-98, MHRD, New Delhi.
Committees appointed by the central and state governments. The National Policy on Education (NPE), 1986 and the revised NPE, 1992, reiterated the urgency to address the quality concerns in schools education on priority basis. Quality can not improve by itself.
It requires reforms in teacher training; improvements in the facilities and infrastructure in schools; teachers’ motivation; and a change in the style of teaching to make it attractive to the students. However, in actual practice, there has always been a trade-off between
quality and quantity, in favor of the latter. This not only affected the internal efficiency of the educational system but also resulted in a situation where only a few graduates of the school and higher education system could attain the expected skills and competencies.
The labor market policies and predominance of public sector employment opportunities did not put enough pressure on the educational systems to change as the degree was more important than the acquired knowledge and skills. The gap between the planned and the realized goals of education continues be so large that even the basis of educational
planning and underlying assumptions can be easily challenged. The basic educational planning models have gone off the trajectory both at the central as well in the states.
Bringing it back on the tracks remains a serious challenge for the development planners. The inter-state and intra-state variations in school facilities, quality of teachers and learning outcome are large and so are social and economic conditions of the areas where the primary schools operate. While indicators to measure the access, retention and
internal efficiency of the educational system in terms of participation rate, accessibility, repetition rates, promotion rates, dropout rates and input-output ratio have been developed, but little information is available about the learners’ achievement of cognitive and non-cognitive competencies. Under the no detention policy, followed by most of the states, a child is not even tested on the learning outcomes for many years after entering
the school. The no detention policy prohibits the use of examinations in first few years of schooling. The proposed system of continuous and comprehensive evaluation is yet to be implemented on sustainable basis. Reforms in the quality of education have not received serious attention of many states.
Defining quality of education
Assessment may be defined as 'any method used to understand the current knowledge that a student possesses. The idea of current knowledge implies that what a student knows is always changing and that we can make judgment about student achievement through comparis on over a period of time. Good assessment techniques provide accurate
estimates of student performance and enables teachers and decision-makers to make appropriate decisions. The current debate about the determinants of student achievement, specifically the contributing effect of teacher variables, has its origin primarily in the findings of the Coleman Report (1966).
In developing countries, the examination results are often used as a proxy for the quality of education. However, such a method is fraught with great problems, as the examination system is limited in scope and coverage as far as learning is concerned. The research has established that acquiring both cognitive and non-cognitive competencies are necessary for a child’s overall development. However, most of the research in learning achievement has focused on the assessment of cognitive skills acquired by the students. An equally reliable measure of quality of education is whether pupils are learning effectively,
improving their knowledge, skills and abilities; widening their experience and growing socially and morally or not. Ability to work with others, readiness to accept responsibility and to work for public good are highly praised characteristics among school leavers. But assessment tools do not test for such skills. While there is no consensus among educationists regarding the definition of the quality in education but there are several ways of measuring quality in education. In the context of school effectiveness, the concept of quality is linked to the efficiency of teaching learning processes. Quality is a relative concept and not something that is absolute. One useful approach could be to select a range of educational indicators that are explicit and measurable represe nting various facets of quality.
The quality of education and its determinants remain a topic of interest since the beginning of formal education. It is possible to develop indicators to measure learning along important dimensions, closely related to the curriculum, both in standardized assessment instruments and in alternative for ms of assessment. Non standardized
assessment refers to the traditional form of assessment by teachers on regular basis through classroom interaction, questions, assignment of homework and other such techniques. The results of such assessment may be accurate or faulty, depending upon the teachers’ skill as a judge of various indicators and their applicability in a given situation.
Standardized tests have prove d useful in comparing, generalizing and indicating levels of attainment based on pre-defined standards. It is assumed that levels of learners’
achievement are assessed at best through standardized achievement tests. Since the beginning of sixties, the measurement of students’ academic performance on regular basis has been an ongoing effort in the advanced countries. Based on these results policy level interventions are made so that the deficiencies in learners achievement can be overcome. In India, the large scale achievement studies were conducted only in the
recent years for primary education. The methods and tools for assessing learning outcome at other levels of education are yet to be put in place. The country is yet to evolve a policy for periodic collection and analysis of learners achievement data and using it for monitoring the quality of education at various levels. Considerable research is needed to
improve the achievement testing methodology, achievement tests and tools of analysis.
The analysis and feedback from achievement studies must be used for curriculum reforms and for restructuring of teacher training contents and methodology of training.
In the last few years, international organizations like the World Bank, UNICEF, UNESCO and UNDP have produced valuable studies on educational assessment and measurement. The Fourth Survey on Research in Education in India (Buch, 1991) identified many studies, essentially at the M.Phil. and Ph.D. level, addressed to the
achievement of primary school children. These researches are more of conceptual nature and their use in policy planning was practically nil.
Recently, Shukla (1994) conducted another study on about 66,000 students to find out the level of attainment of primary school children in 25 states/UTs. Among other things, the study showed different patterns of educational attainment in different states. Pupil’s achievement was related to the education of the father and the facility for learning and
educational environment at home. Considerable research evidence is available on the factors affecting the learning outcomes. While a study by Heyneman and Loxley (1982) showed that 90 percent of variance in students science achievement is explained by school and teacher variables and only a small proportion by home related factors, the
study by Kingdon (1998) shows that home background and school influence are both important to students achievement in India.
Jangira (1994), while synthesizing the results of Baseline Assessment Studies of the DPEP states found that student’s performance in reading and arithmetic was low. There was a marked difference in achievement levels among states and between schools. In a study conducted in Karnataka, covering 2,598 class IV learners and 442 teachers, it was
observed that the learning achievements are not significantly different between rural and urban schools. However, a significant difference was observed among the schools belonging to different management agencies (Aggarwal, 1995a). Similar studies were also conducted in many states as a part of the DPEP baseline learners’ studies. The findings of the study on Kerala covering 3,089 class IV learners and 502 teachers suggests that the type of management of the school is not an influencing factor in
learning achievement. The study found that the level of school infrastructure and variations in the availability of teaching-learning materials is not clearly related to learning achievement (Varghese, 1994).
Learners Achievement and Quality of Education The interest among developing and developed countries to compare information and
experience about achievement in terms of both the standards which are prescribed and the standards that are actually achieved by the learners is indicated by the growing number of countries participating in the cross -national comparative studies on learning achievement.
At the international level, the International Evaluation Agency (IEA) has developed achievement tests which are administered across the participating countries and used for establishment and comparison of learning outcome of children of specified age groups in developed and developing countries. The OECD has a long tradition of assessing
achievement level in various countries and providing comparative statistics.
In addition to the international studies, many countries have also adopted a unique approach for assessing learning outcomes at various levels on regular basis. In France, for example, the focus of external assessment is to provide information on the attainment of individual pupils so that teachers can respond effectively to specific weaknesses or strengths as revealed through assessment studies. In United States, assessment studies have been conducted for a long time and have been used for national assessment and international comparison of learning outcome of American pupils with other developed countries. In England and Wales, all students are assessed at the end of ages 7, 11 and 14. The information on achievement of pupils is made available to the schools and public. It is considered essential that the public has the right to know about the performance of schools and be able to make comparative judgements between schools. In Ontario, Canada, all grade 3 pupils (8-9 year olds) are assessed on various literacy and numeracy tasks in a comprehensive testing programme. The programme is designed to set
benchmarks for achievement at this level. In Australia, some states such as Victoria and New South Wales, test all students of a similar age. The information on performance of pupils is made available to the pupils and schools and not to the public. New South Wales conducted state-wide tests in literacy and numeracy at years 3 and 5 for many years. The
common element of all these tests has been to help teachers improve their programmes.
From Target to Action, published by the Department of education (UK) provides examples how schools have used the assessment results to monitor the effectiveness of their teaching learning strategies and to set targets for improving their students achievement.
Review of empirical research on achievement
The review of empirical research on learners’ assessment shows that there are two
distinct phases. The period up to 1990 is characterised as the first phase and the
researches and empirical studies undertaken after 1990 fall into the other category. A
main characteristic of the empirical studies in the first phase was that these were mainly
academic in nature and the administrators did not use their findings for policy reforms.
The present paper examines the studies undertaken after 1990.
There was a significant departure during nineties as far as assessment and measurement
of learners’ achievement is concerned. Earlier studies were confined to small samples and
each followed a different sampling design and achievement tests. Therefore the findings
were not strictly comparable. Moreover, most of the studies were cross-sectional in
nature and at no point of time temporal comparisons were made. Temporal analysis is
necessary to understand the dynamics of policy formulation and educational reforms in
teaching learning processes. In early nineties, a major initiative to achieve universal
primary education came in the form of District Primary Education Programme (DPEP)
which has now emerged as a major vehicle for bringing about a qualitative change in
primary education. The DPEP model has also been replicated on a large scale through
many innovative projects.
Learning achievement levels in Delhi
Recently, a study on learning achievement for primary schools in Delhi was conducted by
the author. The study covered all types of primary schools/sections in Delhi and was
based on a sample of 169 schools. Besides other aspects, the achievement levels in
language and mathematics were assessed through competency based tests developed by
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the NCERT4. The overall mean score based on Class I competencies was 80.2 percent for
Language and 78.2 percent for Mathematics. The mean score for English and Hindi
medium schools was statistically different in mathematics. The mean score for the SC
children was 8-10 percent points lower than those of the children belonging to general
category. The differences in mean achievement scores due to gender were reflected both
in language and mathematics. However, the girls scored much lower in mathematics as
compared to the boys.
The achievement scores based on class IV competencies were very low as compared to
class I mean achievement scores. The gap was large in mathematics as compared to
language. The mean score in mathematics for Hindi medium schools was 40.46 percent
as compared to 56.5 percent for the mean score in language. The gap between mean score
in mathematics and language is considerable and statistically significant. In view of the
low achievement scores, the underachievers are large in number. About 50 percent of
learners in Hindi medium schools failed to obtain more than 40 percent score in
mathematics. The corresponding share of learners in language was 23 percent.
The differences in achievement become more pronounced as one examines disaggregated
scores for gender, caste, management and related attributes. Children with pre-primary
education in Hindi medium schools achieved 8-10 percentage points more than those who
did not have pre-primary education. This corroborates the impression that SC children are
deficient in learning outcomes. Significant differences (15-18 percentage points) in the
mean achievement score were also observed between different types of management. The
schools managed by MCD reported the lowest mean scores. More than 20 percent
children were reportedly scored less than 20 percent in MCD schools. The poor
performance of MCD schools is thus a cause of concern.
The large differences in the achievement scores between class I and Class IV points to a
gap in the quality of teaching learning and classroom interaction processes. While Class I
achievement score is based on oral test, the class IV scores were based on the written test.
Even within the class IV tests, the performance was poorest in mathematics as compared
to language. It appears that children could unders tand and express orally but have
difficulties in written communication. This has significant bearing on the teaching of
language and expression in the form of written text.
The achievement levels of children studying in English medium schools were analyzed
separately. The mean score was 47.8 percent in mathematics as compared to 49.7 percent
for language. About 38 percent of children failed to score more than 40 percent in
mathematics and 24 percent failed to cross this threshold in language. Therefore, the
general impression that all is well with English medium schools is not correct. While it is
true that their performance is far better than the government schools, but the extent of
underachievement is also very high. Within the language, the underachieve ment is more
4 For details see, Aggarwal, Yash (2000). Primary Education in Delhi: How Much do the Children learn?,
NIEPA, New Delhi.
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serious in reading comprehension. This is a clear reflection on the poor quality of
classroom teaching learning processes. Based on the detailed analysis presented above,
the following issues were identified as far as provision of primary education in Delhi is
concerned:
· Inadequate/absence of access to a comparable quality of education.
· Overcrowding in the existing government schools.
· Mismatches between demand and supply of schooling facilities.
· Dilapidated condition of class rooms, particularly those running in rented
buildings. Repairs o rented buildings can not be undertaken under Rent Control
Act.
· Lack of sanitation and water facilities in old school buildings.
· Excessive reliance on centrally sponsored schemes has also created its own
problems. The states seldom initiate programs of educational development at their
own initiatives and wait for central government initiatives.
· The educational planning for UEE in the urban context requires special emphasis.
The traditional methods of removing supply side constraints would not succeed in
achieving UEE objectives.
Assessment of Learners Achievement in DPEP Districts
The large-scale studies for the DPEP project were conducted in 46 districts covering
eight states in 1993/94. Some unique features of achievement studies conducted under
DPEP were:
· A common national framework for the design and data collection of baseline
and mid-term studies in all districts.
· Use of nationally developed standardised achievement tests in all the states.
· The period of data collection was same for baseline and mid-term assessment
studies for all the 42 districts belonging to phase I of the project.
· Provided inputs for the curriculum revision, preparation of new textbooks,
teachers’ guides and supplementary teaching learning materials.
· Provided inputs for the restructuring of teacher training curriculum as well as
the training methodologies.
· The studies brought about an awareness about research based interventions.
Achievement tests were conducted for assessing the levels of learner’s achievement of
students at the end of Class I and the penultimate class of primary education cycle in
mathematics and language based on Class I and Class IIII/IV curriculum. Class II tests
were oral in nature. The tests developed by the NCERT for the Primary Education
Curriculum Renewal Project were used for DPEP achievement studies. Class IV/V
standardised tests were developed by the TSG/NCERT. A total of 24,504 students of
class IV/V, 23,056 students of class II and 5,114 teachers were covered under the
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baseline studies for the phase I districts. The period of reference was 1993-94 academic
session. The study suffered from one limitation that it was confined to government
schools only. Thus it was not possible to compare the differences in achievement level
between children from the private and public schools. Such an analysis is necessary in the
present context when the demand for private schooling is increasing exponentially even
in smaller rural habitations.
The results of the learning assessment studies conducted under DPEP were quite
revealing. Letter and word reading are basic skills which require 100 percent mastery for
developing further skills. But surprisingly, none of the districts even achieved 80 percent
in either of the tests. Like students teachers also found it difficult to handle mathematics
questions. A mathematics test conducted on 42 teachers showed that most of them could
not even correctly do a question on LCM while 64 percent could not give a correct title to
a paragraph in the language comprehension test (NCERT, 1992). The studies also
identified that supervision was the weakest link in educational administration. Two third
of teachers reported that they did not receive any type of assistance or help from their
head teachers and the same proportion mentioned that there was no supervision by the
Block education Officers. In Karnataka study, it was found that a significantly large
number of teachers were themselves first generation learners. Many teachers covered
under the survey were not even properly qualified and did not attend any in-service
programme during the five years preceding the survey (Aggarwal, 1995a).
Trends in Learning Achievement
The second round of studies was conducted as a part of the mid-term assessment (MAS)
for the 42 phase-I districts. While the MAS used tests different from the one used at the
time of BAS, an effort was made to compare the results of the 1993/94 and 1997/98
studies. The MAS data covered 66,831 students, 6,221 teachers and 2068 schools spread
over 42 districts belonging to phase I of the DPEP. The important findings of MAS were:
· A comparison of learners’ mean score in language (class I competencies) for the
BAS and the readministered test under MAS had revealed a mixed picture. In 28
of 42 districts the gains were positive and ranged between 0-36 percent. However,
for the remaining 14 districts, the mean score in language was lower by 0-18
percent. In the case of mathematics, 33 out of 42 districts showed positive gains
and the remaining nine districts showed a significant decline in mean scores.
· A similar analysis for class III competencies showed that 13 districts out of a total
of 15 districts showed positive gains in language test. The decline in the
remaining two districts was not significant. The mathematics results indicated that
mean score for 11 out of 15 districts showed significant gains.
· The analysis of data for Class IV competencies indicated that the mean scores in
language for 18 out of 27 districts showed gains, of them 15 showed statistically
significant gains. The decline was more pronounced in some districts of Madhya
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Pradesh. Similar trends were observed in the case of mean scores for
mathematics.
· The analysis also confirms the general trend that the performance of students in
Class I both in language and mathematics was better than their counterparts in
class III and IV. This is a matter which has to be seriously examined. This
confirms the decline in educational standards as the students move from lower to
the higher classes. It also signifies the issues related with the transition from oral
to written mode of evaluation. Are the students well prepared for this transition?
· The DPEP goal of reducing the difference in mean achievement score between
boys and girls have been accomplished in 40 out of 42 districts in language and
31 out of 42 districts in mathematics. However, similar objectives for the SC/ST
population are yet to be achieved.
· The study confirms a moderate effect of teacher training on mean achievement
scores. Students’ achievement stands positively related to the availability of
competency based teaching learning materials.
Inter-district Variations in Mean Achievement Scores: Class I
Perhaps a striking finding of the achievement studies was the large differences in average
achievement score between the best performing and the worst performing districts. The
mean percentage score in language varied from 44.5 percent for Rewa district in Madhya
Pradesh to 85.5 percent for Belgaum district in Karnataka. The minimum and maximum
achievement score in mathematics also followed a similar pattern i.e. it varied between
36.5 percent for Guna district to 87.5 percent for the Belgaum district. Thus the mean
score for the best district was roughly twice that of the districts having the minimum
score.
· There was a positive association between the mean percentage score in
language and mathematics. The correlation between the two being 0.73. Thus
the districts with high achievement level in mathematics also depict high
achievement level in language. Therefore, sustained efforts will be required in
improving competencies in both the subjects in low performing districts.
· Many districts belonging to Madhya Pradesh fall in the category of low
achievement districts both in language as well as in mathematics. It is
important to note that many of these districts are characterized by high degree
of deprivation. The share of SC and ST population in some of these districts is
very large. For example, the districts with the second lowest mean score in
language had more than 60 percent of its population classified as SC and ST.
Inter-district Variations in Mean Achievement Scores: Class III/IV
The dispersion with regards to achievement scores was similar to that of Grade I
competencies. The achievement score in language varies from 30.9 percent for Satna to
67.6 for Raisen district. Similarly, the mathematics mean score varies from 20.6 for
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Sehore to 61.3 percent for Dhubri districts. For 32 out of a total of 42 districts, the
average score in mathematics was lower than that of language. How does one explain
such a lower performance in mathematics as compared to language?
The mean score in language and mathematics are consistently lower in Class III/IV than
the corresponding mean score in Class I. Why should the scores decline as pupils move to
higher classes? This is particularly intriguing, as the phenomenon is true for both the
subjects. One possible reason could be that class II tests were oral and classes III/IV were
written. To what extent the difference could be attributed to the transition from oral to
written form of examination?
There were many districts, which performed poorly as far as mathematics was concerned
(table 1). One in every three districts has an average score of less than 30 percent in
mathematics.
Table 1: Classification of districts by levels of achievement, MAS-1997
Range Language Mathematics
Class I Class III/IV Class I Class III/IV
Below 30 0 0 0 13
30-40 0 17 2 18
40-50 2 17 2 5
50-60 15 8 14 4
60-70 15 0 10 2
70-80 8 0 11 0
>80 2 0 3 0
Total 42 42 42 42
Source: NCERT, 1998.
Achievement Scores: Gender Dimension
It is generally believed that girls are more deprived than the boys. This is well reflected in
the historically obtained patterns of educational attainment and levels of literacy. Data
has also suggested that the DPEP districts have registered higher growth rate of
enrolment for girls as compared to boys. The analysis of enrolment and retention data for
the DPEP districts has shown that most of the districts, the Index of Gender Equity was
more than 95, thus showing the near absence of gender related inequities (Aggarwal,
1998a). Is this also true of learning achievement?
The analysis shows that differences in achievement of boys and girls were not very
striking. The distribution of districts into various classes for mean achievement scores for
class III/IV between boys and girls is shown in Table 2. While the overall levels of
achievement continue to be low both for the boys and girls, the differences in
achievement patterns were not very significant excepting for a few districts. The average
score was lower for mathematics than for language.
Table 2: Classification of districts by level of achievement, MAS 1997-Class III/IV
Range Language Mathematics
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Boys Girls Urban Rural Boys Girls Urban Rural
Below 30 0 2 1 0 15 16 14 16
30-40 16 16 14 18 14 14 14 16
40-50 19 16 16 16 7 6 9 5
50-60 7 8 10 6 4 5 3 3
60-70 0 0 1 2 2 1 2 2
70-80 0 0 0 0 0 0 0 0
>80 0 0 0 0 0 0 0 0
Total 42 42 42 42 42 42 42 42
The rural urban differences in achievement scores were more striking as compared to
gender disparities. In the case of language, the rural students seem to be performing better
than the boys. It is the other way round for mathematics. This phenomenon needs to be
examined in detail. The performance of the rural children in mathematics was very low as
32 out of the 42 districts had mean score of less than 40 percent-an exceptionally low
performance of the pupils with rural background. Thus, the position with respect to
teaching of mathematics is very unsatisfactory in class III/IV. These findings have
serious implications for the planning and management of DPEP for the next few years.
Will DPEP be able to prepare a framework for the universalisation of primary education
in a manner that all children not only attain the objectives of DPEP but also able to cross
the threshold by which 80 percent of the competencies are attained by 80 percent of the
students.
Extent of Under Achieve ment in Various Classes
A detailed analysis of the underachievement patterns is attempted in this section. The cutoff
for the underachievers can be defined in many ways. For the purpose of this study, it
is considered that any child who scores less than 40 percent should be considered as
underachiever and the children who attain more than 80 percent should be considered as
high achievers. The cumulative distribution of all these students based on their mean
score in language and mathematics is presented in Figure 1 and 2.
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Figure 1
Figure 2
The mean achievement score is highest for class I, followed by class III and lowest for
class IV learners. Thus there is a clear evidence that as children progress through various
0_10
10_20
20_30
30_40
40_50
50_60
60_70
70_80
80_90
90_100
Score category (%)
0
20
40
60
80
100
Cumulative percentage
Class I
Class III
Class IV
Mean Achievement for DPEP-I Districts:Language
Mid term Assessment, 1997
0_10
10_20
20_30
30_40
40_50
50_60
60_70
70_80
80_90
90_100
Score category (%)
0
20
40
60
80
100
Cumulative percentage
Class I
Class III
Class IV
Mean Achievement for DPEP-I Districts: Mathematics
Mid term Assessment, 1997
13
grades, their performance deteriorates. Although this findings is not based on the same
set of students who are observed over a period of time, yet the sample is large enough and
cross-section data reflects the likely trends which would have been obtained over a period
of time.
The extent of underachievement (less than 40 percent) in language varies from 21.8
percent in class I to 36.2 percent in class III and 66.3 percent in class IV. Thus, nearly
two third children of class V should not have been there as their competency levels were
too low in language. By pushing them to higher grades, the underachievement is
rewarded.
The extent of underachievement in mathematics is much higher than that of language. It
is estimated that 19.8 percent of class I students fall within the category of
underachievers as compared to 59 percent for class III and 72.2 percent for class IV.
Translated in absolute numbers, this implies that 14,371 class IV learners out of a total of
19,894 got 40 percent or fewer score in mathematics. More than half (52. 1 percent)
pupils could not score more than 30 percent. How does one reconcile such poor levels of
performance where nearly three fourth children fail to acquire even 40 percent score,
what to talk of 80 percent score for all the children.
Let us consider the high achievers, especially in class III/IV. In language, 1.9 and 0.3
percent children were able to achieve mastery level (more than 80 percent). In
mathematics, 2.3 and 1 percent of children were able to achieve mastery level
competencies in classes III and IV. How to attain the intended target of achievement of
80 percent for 80 percent of students?
The NCERT studies have not examined the correlates of learning. While the data was
collected on these aspects, the analysis and findings have not been released. The NCERT
study does mention that the schools having competency based instructional materials
faired well as compared to others. Similarly, it has been pointed out that parents’
educational qualification is positively related to their achievement score.
Despite significant efforts, all is not well with the educational system. It is not only that
many children do not have access to proper schooling facilities, but the internal efficiency
of the educational system is also very low. This is reflected in high proportion of children
leaving the school system without completing the primary cycle of education and low
achievement among those who continue to stay in the system.
Conclusions and recommendations
The concern for quality of education has been voiced from time to time in India. The
National Policy on Education (NPE), 1986 and the revised NPE, 1992, again highlighted
the urgency to address the quality concerns on priority basis. Quality can not improve by
itself. It requires multi-pronged and strategic reforms in teacher training; improvements
in the facilities and infrastructure in schools; teachers’ motivation; and a change in the
style of teaching to make it attractive to the students. The policy also recommended that a
system of continuous and comprehensive evaluation would be established. Besides the
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state level schemes to improve access and quality of education, a number of Centrally
Sponsored Schemes and externally funded projects, undertaken in the recent years, are
experimenting with various models of bringing about increased coverage, retention and
improvement in quality.
It is demonstrated by many researches that a solid foundation in mathematics and
language is necessary for primary school children to navigate the information in
technological age. Students with strong grasp in mathematics have an advantage in
academics as well as in the job markets.
In the recent years, a number of new approaches have been developed to assess the
achievement levels. In India, some of these methods have yet to be tried to establish their
applicability. In the simplest of the terms, it may be mentioned that assessment should be
viewed as a tool for improving educational standards, provide information to educators to
determine which practice has resulted in desired outcomes and to what extent.
The study has raised many issues that have serious implication for quality improvement
in primary education. Some of these issues are discussed below.
a) There is a clear evidence to suggest that achievement levels tend to decline as the
children move along the educational hierarchy. This is true of both the English and
mathematics test. This shows that schools are not able to cope with the teaching
learning load as the pupils’ progress through various grades.
b) The temporal comparison of learners’ performance has shown some gains in the first
few years of DPEP. While this a welcome outcome and confirms the broader
direction of reforms, it also raised many questions about the negative/decline in
achievement level in certain other districts. While the contextuality of the district is
an important parameter of planning, the implementation processes should also be
reviewed to isolate the factors, which have facilitated/impeded the trends in learning
outcome.
c) The students from privately managed schools perform better as compared to the
students from government and aided schools, although the evidence is limited. It is
also clear that despite better performance, even the private schools are far away from
achieving the goals set up by the MLLs.
d) There are no mechanisms for assessing the achievement levels for children studying
through non-formal and alternative schools. Since these systems are more of informal
and flexible, it is important to establish their credentials through effective monitoring
and evaluation.
e) The overall scores of class V learners based on class IV competencies are low for
both mathematics and language. The low achievement in mathematics is indeed a
matter of concern. The long term effect of low achievement in mathematics is
revealed by the secondary and senior secondary examination results where most of
the children fail in mathematics and the overall result stays around 50 percent. It is
15
therefore important to evaluate the mathematics curriculum and related instructional
materials.
f) The teachers are at the centre stage of the educational system. There is no system to
identify teacher training needs. The teacher training packages do consult the teachers
but once finalised, their content is same for all the teachers. Is it possible to identify
the level of competencies attained by teachers in language and mathematics so that a
proper module on their capacity building is developed.
g) Upgrade curriculum periodically, integrate technology and high quality instructional
materials and to help students in learning the applications of mathematics in real life.
Teachers should be encouraged to develop and use locally relevant instructional
materials.
h) Underachievement, even if it defined at 40 percent level, is very high in classes III
and IV. The extent of underachievement among class V learners was 66 percent in
language and 72 percent in mathematics. Those achieving mastery level competencies
constituted a small fraction of the total students. The prescribed norms are that 80
percent children should be able to learn 80 percent competencies. Thus, there are
miles to go before the target of MLLs can be achieved.
i) The class II tests were oral in nature and class III/IV were written. The sudden drop in
the level of mean achievement scores also points to another phenomenon i.e. the
transition from oral to written mode of examination. Are the students well prepared
for this transition. Perhaps at no point of time, the students are taught about this
transition. This aspects need to be examined by the pedagogists.
j) A national testing agency or a research cell in the national/state institutions should be
established to undertake continuos and comprehensive analysis of learners’
achievement at primary and upper primary stage. The cell should assists the state
governments to meet the challenging mathematics standards at primary stage, work
closely with teachers unions and other NGOs for upgrading the skills of teachers on
continuous basis. Educational administrators needs assessment information that will
help them remove barriers to learning by telling schools to decide on what works well
and what does not. Enable teachers to identify students learning needs early, before
the problem becomes too big. The school administrators should also ensure that that
the dialogue between the schools and children is better informed; giving parents a
better picture of the progress of their children and the effectiveness of the schools.
k) In the Indian context, there is no mechanism for the training of head teache rs of
primary and upper primary schools in school leadership. In most countries, such
training is a part of the capacity building exercise. Review of the professional
development strategies for the teachers and head teachers stressing both subject
matter expertise and pedagogical mastery is thus necessary.
16
l) As more and more data becomes on students achievement, it needs to be organised
systematically so that the researchers and can have access to these database for testing
of various types of alternative hypotheses.
In conclusion, it is pertinent to note that the assessment studies undertaken in the recent
years have brought to focus many issues which require immediate attention. These efforts
will go a long way in developing local specific strategies and help the system to develop
an integrated model of UEE, where the focus is not only on removing supply side
constrains by providing more teachers, facilities, instructional materials etc., but also in
identifying the critical inputs that optimise the learning outcomes in a given situation.
17
Bibliography
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Delhi.
Aggarwal, Yash. (1988), Education and Human Resource Development, Commonwealth, New Delhi.
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NIEPA, New Delhi.
Aggarwal Yash and Kusum K. Premi (1998b) Reforming School Education: Issues in Policy Planning and
Implementation, Vikas Publishers, New delhi.
Banerji Rukmini (1997) Why Don't Children Complete Primary School? A Case Study of Low Income
Neighbourhood in Delhi, Economic and Political Weekly, August 9, 1997.
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Municipal Corporation, Concept Publishing Company, New Delhi.
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Mumbai.
Malhotra D.D. (1997), Synthesis of the UBSP Benchmark Survey, National Institute of Urban Affairs, New
Delhi (in two volumes).
NCERT (1992). School Education in the 1990s: problems and Perspectives. Report of the National
Seminar, NCERT, New Delhi.
NCERT (1998a) Sixth All India Educational Survey, National Tables, Volume I, Educational Facilities in
Rural Areas, NCERT, New Delhi.
NCERT (1998b) Sixth All India Educational Survey, National Tables, Volume II, Schools and Physical
Facilities, NCERT, New Delhi.
Prakash Shri (undated) Use of Sample Survey Techniques to Study the Problems of Education of Children
of Delhi and Bombay Slums, NIEPA, New Delhi (mimeo).
Sabir Ali (1995) Environment and Resettlement Colonies of Delhi, Har Anand Publications, New Delhi.
Sharma, R. (1998), Universal Elementary Education: The Question of How? Economic and Political
Weekly, Vol. 33(26).
Shukla S. (1994), Attainment of Primary School Children in India, NCERT, New Delhi.
Sivaramakrishnan K.C. (1978) Indian Urban Scene, Indian Institute of Advanced Study, Shimla.
Weiner, Myron (1991) The Child and the State in India, Princeton University Press, Princeton.
Wishwakarma R.K. and Rakesh Gupta (1995) Organisational Effectiveness of Urban Basic Services
Programme in Slums of Delhi, Nagarlok , Vol. XXVII (4).
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Staff Working Paper No. 310, World Bank, Washington.
World Bank (1997). Primary Education in India, Development in Practice Series, World Bank,
Washington. |
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siladitya223
Joined: 30 May 2009 Posts: 25
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Posted: Thu Jun 04, 2009 5:00 pm Post subject: India’s Talent Migration - An Indicus Manpower Whitepaper |
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Description
The recent white paper by Manpower Borderless Workforce 2008 brings out the great churn that is happening in international labour markets. Workers are migrating permanently or on a short term basis, within a company or changing companies, sometimes changing occupations in search of a more fruitful work profile and lifestyles. Companies in turn are hiring internationally – sometimes for employment in a single location and sometimes moving their employees across national borders. The world may not have become flat yet, but it is rapidly becoming borderless.
India is a significant contributor to this phenomenon; it is exporting talent internationally in a big way and is considered to be a significant ‘threat’ internationally. India, of course, is not alone. But given its vast and rapidly increasing English speaking workforce India is emerging as a major supplier of international talent.
This is all happening at a far more massive scale than ever in the past. When aggregate national economic growth is on an average 8 percent per annum, but is characterized by large regional variation, it is evident that relatively greater opportunities will act as a magnet for all those willing and able. And what is happening across national borders is also occurring across sub-national borders. IT professionals of Tamil descent form a large part of the Bangalore story, labour from Bihar is benefiting agriculture in Punjab, large numbers are moving from rural to urban areas in search of a better livelihood and lifestyles.
The debate on international and domestic migration has attained significant importance on the national as well as international platform. Growing mobility of labour in a global economy, consequent population and demographic impacts , coupled with enhanced security concerns, have together underlined the importance of good migration management policies to transform it into an efficient, orderly and humane process. The question is no longer restricted to whether migration should or should not be allowed, but has shifted to , how to manage migration effectively to enhance its positive effects on development and mitigate the negative (MOIA, Annual Report, 2007-0 .
Migration has enormous potential to contribute to development and alleviate poverty for a country like India, but the process needs to be understood better if we are to put in place policies that maximize gains from migration. What will be the consequences of large scale international migration from India? What will be the developmental consequences of migration of highly skilled workers from India? Being one of the main exporters of technical talent to the world economy, these concerns are important.
To address these issues it is important to have a better understanding of talent migration in India; both internal as well as international. This background paper provides a comprehensive analysis of the process of migration in India. This analysis is undertaken under three broad themes with Section 2 covering issues such as: What is the scale and scope of talent migration both (i) within India and (ii) between India and the world? Section 3, primarily covering the supply side issues, will describe the demographic dividend of India and provides a perspective to the same by discussing the employability constraints of the working population of India. In this context the following questions become important: (a) how to convert this demographic dividend into an employable dividend; (b) Whether and how short term training by hirers (with an international/domestic orientation) can improve the employment potential of the Indian workforce?; (c) Whether and how domestic skills shortages result in leading Indian companies seeking talent overseas? Finally, Section 4 of the paper briefly discusses the gains and costs of migration and follows that with a discussion of related policy issues. The background paper concludes by providing a poli |
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Harley
Joined: 08 Jun 2009 Posts: 6
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Posted: Mon Jun 08, 2009 3:11 pm Post subject: |
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Wow
You posted Quality Concerns in Primary Education in India is very huge. I don't have time to read and excellent. here the topic of how the Education Commission is nice. _________________ http://ezdia.org |
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Prasanth
Joined: 11 Jun 2009 Posts: 8
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Posted: Thu Jun 11, 2009 1:47 pm Post subject: |
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Yes, Actually in India the Migration has enormous potential to contribute to development. and we have to oblige to remove poverty. _________________ http://ezdia.org |
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