Skip to main content

Advertisement

Log in

Improving Gender Equality in Higher Education in Turkey

  • Published:
Applied Spatial Analysis and Policy Aims and scope Submit manuscript

Abstract

Women’s representation in education-especially in higher education- is an important part of broader gender equity discussions. The gender imbalance in education is not a new issue; and Turkey is no exception. In fact, this has been the subject of an ongoing debate for years throughout the world. Governments from all around the world try to enhance gender equity in education, along with other facets of the issue, such as economical, social, work, etc. Since its inception, Turkey’s largest distance education provider Anadolu University, even though it is not an intended institutional policy, contribute to enhance the equal representation of both men and women in higher education. The study specifically aimed at to assess how gender ratio has evolved over 32 years, whether spatial clustering exists within the gender data around the country, and to what extent women were represented in higher education programs. To answer these queries, gender ratio datasets were examined using visual (mapping) and spatial cluster analyses. Findings support that, distant programs of the university have helped more women participate in higher education programs across the country over the years, leading to relatively more normalized distribution of gender in education across the geographical regions. Findings are encouraging for the University administration towards tailoring programs to attract more women, and the disadvantaged groups into the academic programs. Also, fee and payment structures of the courses can be re-aligned to better serve disadvantaged regions of the country. In addition, institutions all around the world providing mass distance education can review Anadolu University’s cost and program structure to create their own structures to enhance their gender equality issues in education.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. According to World Bank classification (2011), the average income of middle-income economies was $3764.

  2. Turkey’s population is 77,695,904 people consisting of 50.2% males and 49.8% of the females (TURKSTAT, 2015).

  3. Due to the fact that distance education has become a prominent feature of Turkey’s education system, most of the higher education institutions in Turkey have started to establish their own distance education centers and also two more institutions, Istanbul University and Atatürk University have transformed their systems into dual mode universities, allowing them to offer distance degree and certificate programs.

  4. Second university opportunity gives a chance to university graduates or undergraduate students, enrolled in public or private colleges, another chance to pursue a different degree program within this system, without re-taking the National Higher Education Entrance Exam.

  5. The areas on the choropleth maps are distinctly colored, shaded, or patterned proportionate to the measurement of a particular variable. A color technique was preferred for analysis of both variables.

  6. Global Moran’s I is given by:

    $$ I=\frac{n}{\sum_{i=1}^n{\left({x}_i-\overline{x}\right)}^2}\times \frac{\sum_{i=1}^n\sum_{j=1}^n{w}_{ij}\left({x}_i-\overline{x}\right)\left({x}_j-\overline{x}\right)}{\sum_{i=1}^n\sum_{j=1}^n{w}_{ij}} $$
    (1)

    where n is the total number of spatial observations (i.e. district or region), xi is the value for the spatial district i, xj is the value for another spatial district j, \( \overline{x} \) is the mean value of all spatial districts, wij is the spatial weight between the district i and the district j. As seen from the equation (1), in order to calculate Moran’s I for spatial autocorrelation, the spatial weights matrix should be known or calculated. Many kinds of weight matrices are available in the literature, such as contiguity, based on distance, and k-nearest neighbor. For this study, a spatial weights matrix based on rook contiguity is calculated.

  7. Gender ratio is below average in individual provinces and their surrounding neighbors.

References

  • Abiodun, F. O. (2008). Distance learning and women marginalization: the gender oriented perspective (G.O.P). Paper presented at The fifth pan-commonwealth forum on open and distance learning (PCF5). Online retreived from http://wikieducator.org/images/e/e8/PID_746.pdf.

  • Anselin, L. (1995). Local indicators of spatial association-LISA. Geographical Analysis, 27, 93–115.

    Article  Google Scholar 

  • Babu, S., Ferguson, J., Parsai, N., & Almoguera, R. (2013). Open distance learning for development: Lessons from strengthening research capacity on gender, crisis prevention, and recovery. The International Review of Research in Open and Distributed. Learning, 14(5).

  • Caner, A., Guven, C., Okten, C., & Sakalli, S. O. (2016). Gender roles and the education gender gap in Turkey. Social Indicators Research, 129(3), 1231–1254.

    Article  Google Scholar 

  • Dayıoğlu, M., Kırdar, M.G. & Tansel, A. (2009). Impact of sibship size, birth order, and sex composition on school enrollment in urban Turkey. Oxford Bulletin of Economics and Statistics, 71(3), 399–426.

  • Ferreira, F. H., & Gignoux, J. (2010). Inequality of opportunity for education: The case of Turkey. State planning organization of Turkey and World Bank: Working Paper, 4, Ankara.

  • Gök, F. (2010) Türkiye’de Eğitim ve Kadınlar. Şirin Tekeli (Ed.), 1980’ler Türkiye’sinde Kadın Bakış Açısından Kadınlar. İstanbul: İletişim Yayınları, pp. 161-176.

  • Gokool-Ramdoo, S. (2005). The online learning environment: Creating a space for women learners? The International Review of Research in Open and Distributed. Learning, 6(3).

  • HÜNEE. (2004). TÜrkiye NÜfus ve Sağlık Araştırması 2003 (Turkish Population and Health Research, 2003). Ankara: Hacettepe Üniversitesi Hastaneleri Basımevi.

    Google Scholar 

  • Jacquez, G.M. (2008). Spatial cluster analysis. S. Fotheringham and J. Wilson (Eds.), The Handbook of Geographic Information Science (pp. 395-416). Blackwell Publishing.

  • Jegede, O. J. (2003). Taking the distance out of higher education in 21st century Nigeria. An invited convocation lecture presented at the federal. Oko, Anambra State: Polytechnic.

    Google Scholar 

  • Killick, R., & Eckley, I. (2014). Changepoint: An R package for Changepoint analysis. Journal of Statistical Software, 58(3), 1–19.

    Article  Google Scholar 

  • Kirkup, G., & von Prümmer, C. (1990). Support and connectedness: The needs of woman distance education students. European Journal of Women's Studies., 5(2), 9–31.

    Google Scholar 

  • Kirkup, G., & von Prümmer, C. (1997). Distance education for european women: The threats and opportunities of new educational forms and media. Journal of Distance Education., 4, 39–62.

    Google Scholar 

  • Komba, W. L. M. (2009). Increasing education access through open and distance learning in Tanzania: A critical review of approaches and practices. International Journal of Education and Development using Information and Communication Technology, 5(5), 8–21.

    Google Scholar 

  • MoNE (2007–2008). İller bazında 2007 yılı ülke geneli lise mezun öğrenci sayıları (The number of students graduated from public high schools in provincial level, 2007). Millî Eğitim İstatistikleri Örgün Eğitim 2007–2008 (Ministry of National Education Statistics). Online retrieved from http://sgb.meb.gov.tr/www/mill-egitim-istatistikleri-orgun-egitim-2007-2008/icerik/72.

  • MoNE (2014–2015). İller bazında 2014 yılı ülke geneli lise mezun öğrenci sayıları, 2014 (The number of students graduated from public high schools in provincial level, 2014). Millî Eğitim İstatistikleri Örgün Eğitim 2014–2015, (Ministry of National Education statistics). Online retrieved from http://sgb.meb.gov.tr/www/mill-egitim-istatistikleri-orgun-egitim-2014-2015/icerik/153.

  • Ningakun, V. (2013). Women and girls access to education through open and distance learning. Paper presented in Pan-Commonwealth Forum 7 (PCF7), 2013. Online retreived from http://hdl.handle.net/11599/2038.

  • Njaya, T. (2015). Women empowerment through open and distance learning in Zimbabwe. Journal of Humanities and. Social Science, 20(2), 83–90.

    Google Scholar 

  • Ofoegbu, I. F. (2009). Female access to basic education: A case for open distance learning (ODL). Edo Journal of Counseling, 2(1), 46–57.

    Google Scholar 

  • Ofoegbu, F. I., & Ojogwu, C. (2011). Open distance learning (ODL) as a mechanism for sustainable female education in Nigeria. Online retrieved from www.emasa.co.za/files/full/Ofoegbu&Chika.Distance.pdf.

    Google Scholar 

  • Ojo, O. D. (2008). Empowering female prisoners in Africa: The open and distance learning option. In conference proceedings of the fifth pan-commonwealth of learning conference in the United Kingdom, July 13–17. Online retreived from https://wikieducator.org/images/3/3d/PID_178.pdf.

  • Olakulein, F. K., & Ojo, O. D. (2006). Distance education as a women empowerment strategy in Africa. Turkish Online Journal of Distance Education, 7(1), 149–154.

    Google Scholar 

  • Østebø, M. T., & Haukanes, H. (2016). Shifting meanings of gender equality in development: Perspectives from Norway and Ethiopia. Progress in Development Studies, 16(1), 39–51.

    Article  Google Scholar 

  • Rankin, B. H., & Aytac¸, I. A. (2006). Gender inequality in schooling: The case of Turkey. Sociology of Education, 79(1), 25–43.

    Article  Google Scholar 

  • SADC (2012). Gender mainstreaming strategy for open and distance learning - 2008–2012. The Southern African Development Community Report. Online retrieved from http://www.sadc.int/documents-publications/show/2244.

  • Sen, R. S., & Samdup, P. E. (2009). Revisiting gender in open and distance learning - an independent variable or a mediated reality? Open learning: the Journal of Open and Distance Learning, 24(2), 165–185.

    Article  Google Scholar 

  • Tan, M. G. (2007). Women, education and development in Turkey. Education in Multicultural Societies Turkish and Swedish Perspectives (pp. 109-124), Stockholm: Swedish research Institute in Istanbul.

  • Tansel, A. (2002). Determinants of school attainment of boys and girls in Turkey: Individual, household and community factors. Economics of Education Review, 21(5), 455–470.

    Article  Google Scholar 

  • Temitayo, O. (2012). Does open and distance learning allow for reaching the unreached? Assessing women education in Nigeria. International Women Online. Journal of Distance Education, 1(2), 39–45.

    Google Scholar 

  • The World Bank Group (2011). Country income groups (World Bank Classification), country and lending groups. Retrieved from http://data.worldbank.org/about/country-classifications/country-and-lending-groups.

  • Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2), 234–240.

    Article  Google Scholar 

  • Tombul, E. (2007). Türkiye’de eğitime katılım üzerinde gelirin etkisi (Effect of income over Participation in Education in Turkey). Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 2(22), 122–131.

    Google Scholar 

  • Tunç, İ. A. (2009). Kız çocuklarının okula gitmeme nedenleri. Van ili örneği. Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, 1(I), 237–269.

    Google Scholar 

  • TURKSTAT (2015). İstatistiklerle kadın, 2014 (Women with statistics, 2014). News Bulletin, 5 March 2015. Retrieved from www.tuik.gov.tr/PreHaberBultenleri.do?id=18619.

  • UNESCO. (2002). Open and distance learning: Trends, policy and strategy considerations. Paris: UNESCO.

    Google Scholar 

  • UNESCO (2013). Adult and young literacy. UNESCO Institute for statistics. Online retrieved from http://www.uis.unesco.org/literacy/Documents/fs26-2013-literacy-en.pdf.

  • UNICEF (2000). Progress of regions in Turkey. Supplement 3, Ankara: UNICEF.

  • UNICEF (2015a). Kız çocuklar için birleşin (Unite for girls). Online retrieved from http://www.unicef.org/turkey/gr/_ge21jb.html.

  • UNICEF (2015b). Basic education and gender equality. Online retrieved from http://www.unicef.org/education/bege_70640.html.

  • von Prümmer, C. (2000). Women and distance education. New York: Routledge.

    Google Scholar 

  • Ward-Batts, J., & Antishin, K. (2015). Compulsory schooling in Turkey, educational attainment, and the gender gap (Working paper). Informal Interdisciplinary Seminar Series in Health, History, Demography, and Development. Online retrieved from https://www.aeaweb.org/aea/2012conference/program/retrieve.php?pdfid=448.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Evrim Genc Kumtepe.

Ethics declarations

This work was funded by Anadolu University (Project No: 1407F334). Necessary permissions for the data were obtained from the administration of College of Open Education.

Electronic supplementary material

Fig9

(TIFF 24.9 MB)

Supporting_Fig10_1982

(TIFF 11.7 KB)

Supporting_Fig10_1992

(TIFF 12.8 KB)

Supporting_Fig10_2001

(TIFF 11.9 KB)

Supporting_Fig10_2007

(TIFF 11.9 KB)

Supporting_Fig10_2014

(TIFF 11.7 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aktas, S.G., Kumtepe, E.G., Kantar, Y.M. et al. Improving Gender Equality in Higher Education in Turkey. Appl. Spatial Analysis 12, 167–189 (2019). https://doi.org/10.1007/s12061-017-9235-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12061-017-9235-5

Keywords

Navigation