Towards Inclusive Education: A Case Study of IGNOU

S.V.S. Chaudhury, Pankaj Khare, Sanjay Gupta and Suresh Garg

VOL. 3, No. 3

Abstract

Towards the end of the Eleventh Five Year Plan (2007-2012), India catered to about 20 per cent of those in the age group 17 to 24 years. However, to achieve the threshold level of about 30 per cent by 2020, and address concerns that perpetuate inequalities in opportunities to higher education, the Government of India (GoI) formulated positive discrimination policies. Establishment of Open Universities in general and Indira Gandhi National Open University (IGNOU) in particular was one such positive step in this direction. Since 1987, IGNOU has been striving for inclusive education and reach to all groups to meet their educational needs. As a result of its dedicated efforts, at the end of 2012, it had reached 639 out of 659 districts in the country, including those in the red corridor (with a large concentration of Naxalite and Maoist extremists) passing through the States of Andhra Pradesh, Chhattisgarh, Jharkhand, Maharashtra, Odisha, and West Bengal. IGNOU has been successfully imparting education and training to the socially, economically, physically and/or geographically disadvantaged, in addition to women, minorities and jail inmates. Our results show that participation of rural women is particularly encouraging in all programmes but the dropout rate of these groups is rather high and the success rate comparatively low.

Introduction

With about 17 million students, 634 universities and 33,023 colleges, the Higher Education (HE) system in India catered to about 19.4 per cent of the eligible youth in the age group 17 to 24 years towards the end of Eleventh Five Year Plan Period (2007-2011) (UGC, 2012). Another 10 million students were attending polytechnics and other certificate/diploma level programmes (MHRD, 2012). (The number of universities and colleges increased subsequently to 700 and 35,539 (MHRD, 2013), respectively, with similar growth in the number of students.) According to the International Labor Organization (ILO), India will have 116 million workers in the age group 20-24 years by 2020, as compared to China’s 94 million. And the average age in India at that time is expected to be 29 years as against 40 years in USA, 46 years in Japan and 47 years in Europe (MHRD, 2013; p. xiii). To be able to reap the benefits of demographic dividend, initiatives such as inclusive education is important since age structure rather than the size of the population should play a more pivotal role..

In India, democratisation of higher education is quite challenging due to a complex milieu characterised by multiple identities: social status (caste), gender (female), geographical location (rural, remote, slum), religion (minorities), region (North-East, tribal, economically and educationally backward) and disability. These groups have historically remained on the periphery of educational development even in free India. They comprise large numbers in absolute terms and there is a need now more than ever before to bring all marginalized groups within the fold of higher education. As such, ‘inclusion’ is not a new concept.  Social inclusion has been deliberated on in many debates around injustice and inequality prevalent in various societies. For integration of physically challenged students with their non-challenged peers, expressions such as special education, mainstreaming, integration and flexible education have evolved in a more value-oriented nomenclature of ‘inclusive education’ (Erwin, 1993) as it is ‘responsive to diverse needs and circumstances of learners and gives appropriate weight to the abilities, skills and knowledge they bring to the teaching-learning process’ (MHRD, 2008, p. 10). However, confining the domain of inclusiveness to the particular group of physical disability is in our view not quite justified because disadvantage in any form limits the scope of growth and sustainable development of an individual. It is therefore important to create an inclusive environment for all, irrespective of the nature of disadvantage.

In India, hierarchies of castes, economic status, gender relations and cultural diversities deeply influence issues related to access and equity in education (MHRD, 2008, p. 9). Inclusive education is an engine of social cohesion (FEFC, 1997, pp. 8-9) as widespread alienation poses a threat to the stability of society (Fryer, 1997). Through inclusive education, one strives to bring learners from under-represented communities into the fold of higher education. To this end, every institution needs to review its processes and structures. Our findings show that learners coming from disadvantaged and underprivileged sections of society can be served more effectively provided they have easy and equitable access to open and distance learning (ODL) environments because availability is not necessarily availability. Our findings are based on the analysis of institutional learners’ data.

The Open and Distance Learning System

The ODL system in India, in its initial incarnation as correspondence education, was pioneered by the University of Delhi ‘as a second opportunity’ provision. Enthused by its success, the Education Commission (1964-66) recommended that the provision of part-time and own-time education should be extended as widely as possible without being unnecessarily concerned about quality. It was appreciated by everyone, since opportunities to get higher education at a low cost were extended to all without spatial and temporal barriers. However, this educational innovation failed to realise its true potential for varied reasons and serious concerns were raised about the quality of processes and products, as well as the effectiveness and efficiency of training methods and techniques (Panda, Venkaiah, Garg, & Puranik, 2006). By 1980, the second opportunity motivated learners were relegated as ‘poor cousins’ of their full-time peers and distance educators began search for a way out. This heralded the beginning of the Open Era in the country in 1982 (Prasad & Venkaiah, 2005).

Indira Gandhi National Open University (IGNOU), established in 1985 with jurisdiction over the entire country, began by offering a Diploma in Distance Education and Diploma in Management in 1987 to 4,528 working professionals. The spread, scope and offer of programmes evolved with time and so has the learner demography. Starting from a predominantly working population, now about 50 per cent of fresh school pass outs enrol in IGNOU’s programmes. One of the basic reasons for the success of IGNOU has been that it practiced the ethos of collaboration, sharing and partnership in all operations all along. From curriculum design, planning and development of study materials (in print and e-media) to delivery of education and learner support, IGNOU continues to utilise existing infrastructure and the services of acknowledged experts in conventional higher education and research institutions, industry, the corporate world and civil society on a part-time basis to provide Face-to-Face (F2F) contact. (Some aberrations crept into the system with time due to politico-bureaucratic interference for activating very ordinary institutions as student support centres, lack of enthusiasm in the university faculty for revising and upgrading learning materials, misplaced priorities, lack of quality and lack of direction from the management.)

IGNOU’s March Towards Inclusive Education

Following recommendations of the New Education Policy–1986 and Programme of Action–1992, IGNOU led the way towards Inclusive Education (Swamy, 2011). In the 10th Plan Period (2001–2006), IGNOU’s collaboration with regional, national and international developmental agencies reached an enviable height, and it began to practice public-private partnership. In the 11th Plan Period (2007-2011); controversial initiatives, such as on-campus teaching, were taken and the university could not see the forest for the trees.

India has 29 States and six Union Territories (UTs), in addition to the National Capital Region (NCR), Delhi. These are spread over 659 districts. Of these, about 60 per cent were declared educationally backward by the University Grants Commission in 2007-2008 (UGC, 2007). Therefore, a serious challenge confronting IGNOU in promoting inclusive education was to reach out to people living in such areas. Obviously F2F institutions could not be established there for lack of resources (financial and trained human capital.) In this paper, we have discussed the efforts made, strategies evolved and techniques used by IGNOU towards inclusive higher education. The institutional data has been analysed in two parts: 2007–2012 (end of the Eleventh Plan Period) and 2013–2015. While the former part captures efforts and facilitates comparison with reliable national data and statistics available in the public domain, the latter part helps us to know the latest status of reach at IGNOU.

The cumulative enrolments, certifications made and number of programmes on offer for the years 2007–2015 are shown in Figure 1. As may be noted, enrolments as well as certifications made have grown with time. However, the number of programmes grew exponentially in the period 2007–2012 but there was drastic reduction subsequently, because F2F teaching on campus and programmes offered by private as well as public partners under MOUs were discontinued in 2012–2015 after a considerable debate about openness in and mandate of the university (Basu, 2011; Panda, 2011; IGNOU, 2012). (The university has recently revived some of the programmes under MOUs with publically funded institutions.) From this discussion, we can say with some degree of confidence that IGNOU has succeeded in its mandate to provide inclusive higher education to the deprived and isolated groups. However, its outreach can improve further following the value added approach advocated by Garg, Ghosh, & Khare (2013).

Figure 1: Cumulative enrolments, certifications made and number of programmes on offer by IGNOU

By December 2012, IGNOU had ensured its presence in all but 20 districts in five States (Chhattisgarh:  7 out of 27 districts; Punjab: 2 out of 22 districts; Rajasthan:  2 out of 33 districts; Tripura: 4 out of 8 districts, and Uttar Pradesh: 4 out of 75 districts) and one UT (Dadra and Nagar Haveli through Study Centres/Programme Centres/ Skill Development Centres functioning under any one of its 58 Regional Centres (S.K. Mohapatra, Personal Communication, July 12, 2012). It is important to mention that: 

To support these global conclusions, it would be worthwhile to compare IGNOU’s reach based on microscopic data with national statistics. According to the Census – 2011:

Though visual disability was most prevalent in every state, loco-motor problems and autism were fast emerging as leading disabilities (Times of India, June 30, 2014). In some states, these accounted for up to 50 per cent of the challenged population and some experts attributed these to development and the fast pace of life.

The national averages of Gross Enrolment Ratio (GER) for various groups towards the end of Eleventh Plan were as given below:

IGNOU has been playing a pro-active role in providing higher education opportunities for all with considerable success. We here present details for the socially marginalized, females, differently-abled and minority groups.

Socially Marginalized Groups

In Table 1, we have shown the data for SCs, STs and OBCs enrolled in IGNOU in the period under reference (2007-15). We note that:

Table 1: Admission Data for Marginalized Groups in all Programmes of IGNOU

Year

Total

Data not Available

Category

 

SC

% SC

ST

% ST

OBC

% OBC

 2007-2012

2187214

92700

190440

9.09

218087

10.41

431332

20.59

2013

379348

3148

33916

9.02

38513

10.24

85809

22.81

2014

407820

1405

39674

9.76

40552

9.98

91561

22.53

2015

476405

822

48684

10.24

43962

9.24

105841

22.26

Total

1263573

5375

122274

9.72

123027

9.78

283211

22.51

As such, participation of SCs and OBCs as a whole in IGNOU programmes is below their respective national average. It is partly because of increased provisions for higher education in F2F mode for these groups. Also it seems that they are yet not fully convinced about the acceptability of the ODL system. Though IGNOU follows Government of India reservation policy wherever the number of seats is limited by national regulating agencies, more affirmative action in the form of seeking relaxation of numbers would be advisable over and above the fee waiver to reach out to these groups and contribute to national priorities of “Development for all”. Moreover, to facilitate learning, IGNOU will do better by relaxing conditions on Study Centre infrastructure and educational qualifications of academic counsellors in educationally backward districts, while appointing them even for conventional programmes for about five years after the activation of a programme (Agarwal & Ghosh, 2014).

A closer examination of the data for STs shows that their enrolment in IGNOU is almost double the national average. This is a very positive indicator of the acceptability of IGNOU and its inclusive approach as a viable option for higher education. In fact, the educational mode and techniques used by IGNOU are better suited for learners in the North-East because of its geography and sparse population. Moreover, being a national university gives confidence to learners. A differential analysis of the marginalised group was made keeping in view their marital status, rural-urban settings, religious affiliations and employment. These are given in Tables 2(a) to 2(d).

Table 2(a): Distribution by Marital Status

Year

Marital Status

Total SC

Married SC

% Married SC

Total ST

Married ST

% Married ST

Total OBC

Married OBC

% Married OBC

2007-2012

190440

107962

56.69

218087

114673

52.58

431332

250904

58.17

2013

33916

21502

63.40

38513

24191

62.81

85809

50171

58.47

2014

39674

22985

57.93

40552

25833

63.70

91561

49273

53.81

2105

48684

26288

54.00

43962

27894

63.45

105841

55688

52.61

Total

122274

70775

57.88

123027

77918

63.33

283211

155132

54.78

Table 2(b): Distribution by Area

Year

Distribution by Area

Total SC

Rural SCs

% Rural SCs

Tribal SCs

% Tribal SCs

Total STs

Rural STs

% Rural STs

Tribal STs

% Tribal STs

Total OBCs

Rural OBCs

% Rural OBCs

Tribal OBCs

% Tribal OBCs

2007-2012

190440

66167

45.48

2852

2.31

218087

52939

47.53

46577

25.35

431332

196216

53.39

4350

1.05

2013

33916

15527

45.78

563

1.66

38513

15088

39.18

14182

36.82

85809

48919

57.01

1038

1.21

2014

39674

18674

47.07

650

1.64

40552

17738

43.74

12252

30.21

91561

52058

56.86

1155

1.26

2015

48684

21821

44.82

618

1.27

43962

19803

45.05

11465

26.08

105841

57678

54.49

965

0.91

Total/Avr

122274

56022

45.89

1831

1.52

123027

52629

42.65

37899

31.04

283211

158655

56.12

3158

1.13

Note: available around 2.07% SC, 27.75% ST & 0.89% OBC data not and not considered while calculating percentages. 

Table 2(c): Distribution by Religion

Year

Distribution by Religion

% Muslim SCs

% Muslim STs

% Muslim OBCs

% Christian SCs

% Christian STs

% Christian OBCs

% Sikh SCs

% Sikh STs

% Sikh OBCs

Average (2007-2012)

1.84

10.05

11.56

1.35

40.11

3.03

2.54

0.31

0.86

2013

2.32

15.11

15.79

0.83

0.83

1.45

1.20

0.03

0.59

2014

2.49

3.40

12.43

1.32

1.32

4.11

1.30

0.05

0.57

2015

2.27

3.56

12.01

1.32

1.32

3.56

1.07

0.05

0.57

Average

2.36

7.35

13.41

1.16

1.16

3.04

1.19

0.04

0.58

Table 2(d): Employment Status

Year

Employment Status

Total SC

No. of Employed SC

Employed SC (%)

Total ST

Employed ST

Employed ST (%)

Total OBC

Employed OBC

Employed OBC (%)

2007-2012

190440

46864

30.30

218087

25902

18.70

431332

119429

33.02

2013

33916

8568

25.26

38513

9721

25.24

85809

21277

24.80

2014

39674

11310

28.51

40552

10783

26.59

91561

33156

36.21

2015

48684

12760

26.21

43962

9937

22.60

105841

34009

32.13

Total/Avr

122274

32638

26.66

123027

30441

24.81

283211

88442

31.05

Note: Around 1.72% SC, ST and OBC data not available.

On closely examining the data, we note that:

Proceeding further, we now examine the success of the university in the inclusion of marginalized groups through its academic programmes at different levels.

Analysis of Socially Marginalised Groups by Programmes

The programmes offered by IGNOU have been put in four categories depending on their levels: Certificate (CERT), Diploma (DIP), Undergraduate (GD), and Postgraduate (PGD). In Tables 3(a) to 3(d), we have presented the number of students who joined IGNOU in the period 2007 – 2015 from marginalised groups.

Table 3(a): Certificate Level Programmes

Year

Total

Data not Available

Category

SC

%SC

ST

%ST

OBC

% OBC

2007-2012

162819

9400

13984

9.19

12622

7.94

27239

18.44

2013

17315

32

1404

8.12

602

3.48

4000

23.14

2014

23986

163

2618

10.99

956

4.01

6412

26.92

2015

25530

38

2718

10.66

1176

4.61

7238

28.39

Total/Avr

66831

233

6740

9.93%

2734

4.04%

17650

26.15

Table 3(b): Diploma Programmes

Year

Total

Data not Available

Category

SC

%SC

ST

%ST

OBC

% OBC

2007-2012

367184

53582

30727

9.63

63977

19.17

62150

19.84

2013

26424

249

1797

6.87

6205

23.71

4794

18.32

2014

30087

14

2305

7.66

6032

20.06

6436

21.40

2015

30575

171

2375

7.81

3083

10.14

6615

21.76

Total/Avr

87086

434

6477

7.45

15320

17.97

17845

20.49

Table 3(c): Undergraduate Programmes

Year

Total

Data not Available

Category

SC

%SC

ST

%ST

OBC

% OBC

2007-2012

831519

16672

79250

9.64

68689

8.40

192987

23.11

2013

174636

1190

17988

10.37

15500

8.94

46423

26.77

2014

186642

712

20165

10.85

16143

8.68

46162

24.83

2015

221160

562

24767

11.23

20022

9.08

52984

24.02

Total/Avr

582438

2464

62920

10.81

51665

8.90

145569

25.20

Table 3(d): Post-graduate Programmes

Year

Total

Data not Available

Category

SC

% SC

ST

% ST

OBC

% OBC

2007-2012 

586870

10785

42510

7.63

39824

6.74

104765

17.94

2013

127937

1336

9115

7.20

10813

8.54

24292

19.19

2014

135950

409

10981

8.10

13017

9.60

25971

19.16

2015

172900

54

15375

8.90

15992

9.25

33156

19.18

Total/Avr

436787

1799

35471

8.07

39822

9.13

83419

19.18

We note that:

A detailed analysis of all PG enrolments shows that, notwithstanding dwindling numbers in MBA, MCA and teacher education programmes, the growth has become possible essentially due to increase in numbers in and acceptability of PG programmes in the humanities and social sciences.

Differently-abled Learners

The distribution of differently-abled learners across various academic programmes is shown in Table 4. As may be noted, this group also exhibits a pattern similar to that of socially marginalized groups insofar as enrolment in certificate and diploma vis-à-vis first degree and post-graduation degree is concerned. Moreover, the overall numbers as well as the percentage is dismally low compared to their national average in the population. It means that in spite of establishing a National Centre for Disability Studies, IGNOU has not been able to penetrate the physically-challenged group. It would, therefore, be advisable to involve the Rehabilitation Council of India to renew collaborative efforts and approach national/international agencies to augment teaching-learning tools so that more effective training can be imparted. It is unfortunate that in 2013, the university discontinued UG programmes in sign language sponsored by the Ministry of Social Justice, GoI. It is time to proactively retrieve sign language and add programmes in braille using emerging technologies, because the ODL mode is most suited for this group.  

Table 4: Distribution of Differently-abled by Programmes

YEAR

 

Total Admissions

Differently-abled

Total PH Students

% PH Students

AWR/ FOUD PREP

CERT

DIP

GD

PGD

2007-2012

2187214

11819

0.54

742

394

695

5353

4635

2013

379348

1646

0.43

71

34

51

1159

331

2014

407820

2006

0.49

70

33

56

1533

314

2015

476405

1323

0.28

37

31

69

848

338

Total/Avr

1263573

4975

0.40

178

98

176

3540

983

AWR: Awareness Programmes; FOUD: Foundation Courses; PREP: Preparatory Programme; CERT: Certificate Programmes; DIP: Diplomas; GD: Graduate Degrees; PGD: Postgraduate Degrees 

Jail Inmates

A very innovative initiative was taken by IGNOU when it began to enrol jail inmates all over the country in its liberal education programmes. The guiding principle was to provide them an opportunity to reform through education rather than by bringing them to justice. The distribution of jail inmates by level is shown in Table 5.

Table 5: Distribution of Jail Inmates by Programmes

YEAR

Total Admissions

Jail Inmates

Total Inmates
% Jail Inmates
AWR/
FOUD PREP
CERT
DIP
GD
PGD

2007-2012

2187214

7772

0.33

4954

1171

152

1237

258

2013

379348

11251

2.97

6722

3157

103

1143

126

2014

407820

11224

2.75

7636

2237

152

966

233

2015

476405

10822

2.27

7209

1869

120

1406

218

Total/Avr

1263573

33297

2.66

21567

7263

375

3515

577

AWR: Awareness Programmes; FOUD: Foundation Courses; PREP: Preparatory Programme;  CERT: Certificate Programmes; DIP: Diplomas; GD: Graduate Degrees; PGD: Postgraduate Degrees 

As may be noted:

Minorities

In India, every fifth Indian belongs to one of the minority communities. While Christians, Sikhs and Jains are fairly well placed in educational statistics, the situation is alarming in the case of Muslims. The number of total learners in different programmes of IGNOU from the minorities was 202,631 (8.59 per cent) at the end of the 11th Plan. Moreover, the majority of them preferred the degree programmes of IGNOU; about 73 per cent of them were pursuing either UG or PG degree programmes: Graduate (73,860; 36.4 per cent) and Post-Graduate (74,383; 36.74 per cent), as shown in Table 6. A similar trend is observed in the period 2013-15.

To make this analysis more interesting and suggest concrete measures suited for specific categories falling under the broad group of minorities, we tried to obtain differential data for this group. However, researchers discovered that the university did not ask learners to specify their religion and, thus, the required data for different sub-categories of minorities could not be obtained. Nevertheless, IGNOU will do better by devising special provisions to reach out to the Muslim community with customized programmes suited to their skill sets/regional requirements. It would therefore be worthwhile to open Special Study Centres in Muslim majority regions to offer awareness/vocational programmes.

Table 6: Distribution of Minorities by Programmes

YEAR

Total Admissions

Minority Status

Total Minority

% Minority Students

AWR/ FOUD PREP

CERT

DIP

GD

PGD

2007-12

2187214

202631

8.59

24279

13347

16762

73860

74383

2013

379348

59985

15.81

5473

1973

3791

22956

25792

2014

407820

62862

15.41

4199

2961

5404

23890

26408

2015

476405

65283

13.70

3480

3367

4678

26571

27187

Total/Avr

1263573

188130

14.98

13152

8301

13873

73417

79387

Women

According to Census - 2011, females constituted 48.5 per cent of our population but their enrolment in higher education was about 41.5 per cent. As such, the ODL system is most suited to educate them since learning materials become available at their doorstep and attending counselling is optional. To know how far this expectation has been fulfilled by IGNOU, in Table 7(a) we have presented women enrollment according to their marital, employment, geographical and religious status in various programmes of IGNOU. We note that:

The fact that a large proportion of employed and rural women are enrolling in IGNOU programmes is a positive indicator of IGNOU’s inclusive reach. We expect this trend to continue in future for all ODL institutions as well, with minor variations.

Table 7(a): Enrollment of Women by Marital, Employment, Area and Religious Status

YEAR
Total

Females

% Married

% Employed

Distribution by Area

Distribution by Religion

Total

%

% Rural Women

% Tribal Women

% Muslim Women

% Christian Women

% Sikh Women

2007-2012

2187214

855111

38.65

59.44

16.82

33.27

3.46

8.11

1.49

1.38

2013

379348

168952

44.54

63.48

22.01

35.80

4.89

14.95

1.19

1.57

2014

407820

185477

45.48

59.43

24.84

36.79

4.03

10.55

1.09

1.49

2015

476405

221051

46.40

56.01

22.34

34.80

3.19

10.65

0.91

1.50

Total/Avr

1263573

575480

45.47

59.64

23.06

35.80

4.04

12.05

1.06

1.52

Table 7(b): Enrollment of Women by Programmes

YEAR

Total Women

Level of Academic Programme

AWR/ FOUD PREP

%

CERTIF

%

DIPLOM

%

GD

%

PGD

%

2007-2012

855111

85932

10.23

71275

8.85

124760

14.87

305893

35.45

267251

30.59

2013

168952

10878

6.44

7197

4.26

11935

7.06

69916

41.38

69026

40.86

2014

185477

9318

5.02

12845

6.93

13962

7.53

74752

40.30

74600

40.22

2015

221051

7566

3.42

13918

6.30

15289

6.92

86183

38.99

98095

44.38

Total/Avr

575480

27762

4.96

33960

5.83

41186

7.17

230851

40.22

241721

41.82

The enrolment of women according to programme for the period under consideration is shown in Table 7(b). As may be seen, while enrolment decreased in the awareness, certificate and diploma programmes after 2012, there was significant increase in undergraduate and post-graduate programmes. (The increase in PG has been comparatively more than that at the UG level.) It shows that IGNOU is seen by married, employed and rural mature women desirous of pursuing higher education as a credible option.  

Performance Analysis

Just as fire is the test of gold so retention, success rate and employability of learners are the surest tests of effectiveness of the inclusive reach of an institution. In the context of IGNOU, performance of learners in different programmes has been reported in the past (Khare et al, 2004; Panda et al, 2004; Sadhwani et al, 2007; Sanghai and Garg, 2009; Mishra et al, 2009). The findings of these researchers show that success rates depend on the motivation of learners for joining a programme and vary from 15–95 per cent. However, no study has so far been reported on the retention (and success) rates, specifically with regard to inclusivity considerations. We now present our findings on the performance of various disadvantaged groups under consideration (Table 8(a) to (e)). We note that success rates of:

Table 8(a): Socially Marginalized Groups

YEAR

Total SC

Awarded

%

Total ST

Awarded

%

Total OBC

Awarded

%

2007-2012

190440

47944

25.64

218087

68011

28.88

431332

106881

23.97

2013

33916

5787

17.06

38513

5977

15.52

85809

18786

21.89

2014

39674

934

2.35

40552

407

1.00

91561

2432

2.66

2015

48684

379

0.78

43962

107

0.24

105841

755

0.71

Total/Avr

122274

7100

6.73

123027

6491

5.59

283211

21973

8.42

Table 8(b): Differently-abled Students

YEAR

Differently-abled Students

Total Students

Total Awarded

CERT

% age

DIPL

% age

GRAD

% age

MAST

% age

2007-2012

11819

3284

172

5.17

230

6.08

2502

76.19

412

12.56

2013

1646

663

13

1.96

13

1.96

596

89.89

41

6.18

2014

2006

21

8

38.10

11

52.38

2

9.52

-

-

2015

1323

-

-

-

-

-

-

-

-

-

Total/Avr

7797

684

21

20.03

24

27.17

598

49.71

41

3.09%

Table 8(c): Jail Inmates

YEAR

Jail Inmates

Total Students

Total Awarded

% age

2007-2012

7772

199

2.56

2013

11251

324

2.88

2014

11224

317

2.82

2015

10822

113

1.04

Total/Avr

33297

754

2.25

Table 8(d): Minorities

YEAR

Programme

 

Total Learners

CERT

% age

DIP

% age

GD

% age

PGD

% age

2007-2012

202631

3217

2.11

6013

2.74

15478

14.18

26858

12.09

2013

59985

571

0.95

1260

2.10

4310

7.19

4365

7.28

2014

62862

792

1.26

316

0.50

44

0.07

13

0.02

2015

65283

288

0.44

--- Data not Available ---

Total/Avr

188130

1651

0.88

1576

0.87

4354

2.42

4378

2.43

Table 8(e): Females

YEAR

Female Learners in Programmes

 

Total

CERT

% age

DIP

% age

GD

% age

PGD

% age

2007-2012

855111

20794

2.68

29019

7.65

56335

10.93

58367

10.01

2013

168952

2353

1.39

3388

2.01

15205

9.00

11338

6.71

2014

185477

3702

2.00

1358

0.73

353

0.19

58

0.03

2015

221051

2001

0.91

0.00

0.00

0.00

Total/Avr

575480

8056

1.43

4746

0.91

15558

3.06

11396

2.25

Conclusion

IGNOU has succeeded in its mandate to democratize higher education and is on the verge of reaching the last mile. It is hoped that with multimedia instructional technology, IGNOU should increase its presence to almost all districts in the country. Our analysis shows that more learners enrolled in diploma and UG degree programmes. However, PG programmes have witnessed spectacular growth in recent years. The participation of rural women is particularly encouraging, highlighting the suitability of the ODL system for inclusion of this group. With more judicious use of ICTs and customised programmes suited to the skills/requirements of different groups, IGNOU can reach a larger cross section of the Indian population.

While one may be justifiably optimistic about the reach of IGNOU, the same cannot be said about the success and retentivity of learners. The studies reported so far suggest that the motivation of learners for joining a programme determines their performance rate. Low success rates in a programme suggest that the university should pay greater attention to the quality of learning materials through internal audits, learner support services and uniformity in evaluation.


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Authors

Prof. S.V.S. Chaudhury is Senior Professor at the School of Education, IGNOU. Email: svschaudhary@ignou.ac.in

Dr. Pankaj Khare is Senior Academician with Planning and Development Division, IGNOU. Email: pankajkhare@gmail.com

Dr. Sanjay Gupta is Associate Professor at School of Sciences, IGNOU. Email: drsgupta@ignou.ac.in

Prof. Suresh Garg is Pro-Vice Chancellor with Himalayan University, Arunachal Pradesh.  Email: prof1951@gmail.com