Abstract
The study explores the dynamic relationship between growing trends in information and communication technology (ICT) and performance of technical higher education in India during the last two decades. Impacts of ICT on the higher education sector, especially in the field of technical education in India, during a vibrant period of digitalization in the era of globalization has been a burning topic of research. ICT enables training providers withgreater exposure and better knowledge in technical institutions. In this context, we build up a panel of various technical education institutes over the period of 2004–2017 with the relevant variables and apply GMM estimation as suitable for the dynamic panel. Our empirical findings refer that ICT has significant impacts on technical higher education indicators.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Akaike, H.: Fitting autoregressive models for prediction. Ann. Inst. Stat. Math. 21, 243–247 (1969)
Amutabi, M.N., Oketch, M.O.: Experimenting in distance education: the African Virtual University (AVU) and the paradox of the World Bank in Kenya’. Int. J. Educ. Dev. 23(1), 57–73 (2003)
Arellano, M., Bond, S.: Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev. Econ. Stud. 58, 277–297 (1991)
Bhattacharya, I., Sharma, K.: India in the knowledge economy – an electronic paradigm. Int. J. Educ. Manag. 21(6), 543–568 (2007)
Chandra, S., Patkar, V.: ICTS: a catalyst for enriching the learning process and library services in India. Int. Inf. Libr. Rev. 39(1), 1–11 (2007)
Im, K.S., Pesaran, M.H., Shin, Y.: Testing Unit Roots in heterogeneous panels. J. Econ. 115(1), 53–74 (2003)
Klynveld Peat Marwick Goerdeler. (KPMG): Telecommunications. Netherlands (2017)
Levin, A., Lin, C.F., Chu, C.: Unit root tests in panel data: asymptotic and finite-sample properties. J. Econ. 108(1), 1–24 (2002)
McGorry, S.Y.: Online, but on target? Internet-based MBA courses: a case study. Internet High. Educ. 5(2), 167–175 (2002)
Mooij, T.: Design of educational and ICT conditions to integrate differences in learning: contextual learning theory and a first transformation step in early education. Comput. Hum. Behav. 23(3), 1499–1530 (2007)
Tilak, J.: On Allocating 6 Per Cent of GDP to Education. Econ. Polit. Wkly. 613–618 (2006). Accessed 18 Feb 2016
UNESCO: ICT in Teacher Education - A Planning Guide, Report. Paris, France (2002)
UNESCO: Technology, Broadband and Education: Advancing the Education for all Agenda. Paris, France (2013)
University Grants Commission. (UGC): Ministry of Human Resource Development, Government of India. www.ugc.ac.in (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mukherjee, U.C., Sinha, M., Sengupta, P.P. (2020). A Dynamic Panel Data Study on ICT and Technical Higher Education in India. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_39
Download citation
DOI: https://doi.org/10.1007/978-981-13-8676-3_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8675-6
Online ISBN: 978-981-13-8676-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)