Towards a Composite index for measuring the higher education institutions in Egypt

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorEl-Hefnawy M.R.M.
dc.contributor.authorEl-Bastawissy A.H.
dc.contributor.authorKadry M.A.
dc.contributor.otherComputer Engineering Department
dc.contributor.otherArab Academy for Science and Technology
dc.contributor.otherCairo
dc.contributor.otherEgypt; Computer Science Department
dc.contributor.otherModern Sciences and Arts University
dc.contributor.otherCairo
dc.contributor.otherEgypt
dc.date.accessioned2020-01-09T20:42:11Z
dc.date.available2020-01-09T20:42:11Z
dc.date.issued2014
dc.descriptionScopus
dc.description.abstractEgypt has the largest and most significant higher education system in the Middle East and North Africa but it had been continuously facing serious and accumulated challenges. The gap between what is existing and what is supposed to be for the self-regulation and improvement processes is not entirely clear to face these challenges. The effective use of information technology in higher education requires good and new techniques as well as rational strategies. The reform of higher education through strategies based on data analysis of current situation will affect the overall performance of transitional state and will shape new paradigms in higher education system development in Egypt. This research has objective to develop a model of Composite index (CI) based on a set of key performance indicators (KPI) commensurate with the nature of higher education institutions in Egypt. The outcomes of the composite index aim to measure overall performance of institutions and provide unified ranking method in this context. KPIs are determined as description of key success factors related to institutions sustainability. These KPIs are classified into main areas and sub-indicators. Within this scope, the indicators were weighted via Analytic Hierarchy Process (AHP) method according to their significance levels. Pairwise comparison survey template and database web application were developed to collect narrative responses, apply algorithm and extract results. The research study was conducted with 40 professors from 19 renowned universities in Egypt as education experts. The status of composite index model implementation is discussed from theoretical and technical perspectives. � 2014 The Science and Information (SAI) Organization.en_US
dc.description.sponsorshipMicrosoft;RK Trans2Clouden_US
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=21100344994&tip=sid&clean=0
dc.identifier.doihttps://doi.org/10.1109/SAI.2014.6918169
dc.identifier.doiPubMed ID :
dc.identifier.isbn9.78E+12
dc.identifier.otherhttps://doi.org/10.1109/SAI.2014.6918169
dc.identifier.otherPubMed ID :
dc.identifier.urihttps://t.ly/NX6LD
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofseriesProceedings of 2014 Science and Information Conference, SAI 2014
dc.subjectOctober University for Modern Sciences and Arts
dc.subjectUniversity for Modern Sciences and Arts
dc.subjectMSA University
dc.subjectجامعة أكتوبر للعلوم الحديثة والآداب
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectComposite indexen_US
dc.subjectHigher Education Institutions Rankingen_US
dc.subjectKey Performance Indicatorsen_US
dc.subjectPerformance Measurementen_US
dc.subjectAnalytic hierarchy processen_US
dc.subjectBenchmarkingen_US
dc.subjectInformation useen_US
dc.subjectSocieties and institutionsen_US
dc.subjectAnalytic hierarchy process (ahp)en_US
dc.subjectComposite indexen_US
dc.subjectHigher education institutionsen_US
dc.subjectHigher education systemen_US
dc.subjectInformation technology in higher educationsen_US
dc.subjectKey performance indicatorsen_US
dc.subjectMiddle East and North Africaen_US
dc.subjectPerformance measurementsen_US
dc.subjectEducationen_US
dc.titleTowards a Composite index for measuring the higher education institutions in Egypten_US
dc.typeConference Paperen_US
dcterms.isReferencedByhttp://hdr.undp.org/en/countries/profiles/EGY, (2013) Human Development Index-Annual Report 2013; http://mhe-spu.org/siteold/admin/uploads/events/files/Report_on_Master_Plan.pdf, (2013) Supreme Council of Universities-Egypt strategy plan for education until 2021; El-Hadidi, M., Anis, H., El-Akabawi, S., Fahmy, A., Salem, M., Tantawy, A., El-Rafie, A., Abdel-Fattah, K., Quantifying the ict needs of academic institutes using the service category-stakeholder matrix approach (2008) 6th ICICT'08 Conference Proc, pp. 107-113. , December; http://www.ictp.org.eg/index.php/ar/2012-11-03-22-55-31/2012-11-03-22-56-46, (2012) Information and Communications Technology Project, unified Management Information System brief description; Liu, N.C., Wang, Q., Cheng, Y., (2011) Paths to A World-class University: Lessons from Practices and Experiences, 23. , Springer; Alexander, F.K., The changing face of accountability: Monitoring and assessing institutional performance in higher education (2000) Journal of Higher Education, pp. 411-443; McKinnon, K.R., Walker, S.H., Davis, D., (2000) A Manual for Australian Universities, , Australian Higher Education Division, Australia; Sadlak, J., Liu, N.C., (2007) The World-class University and Ranking: Aiming beyond Status, , Bucharest, Romania/Shanghai, China/Cluj-Napoca, Romania: Unesco-Cepes; Hazelkorn, E., (2013) How Rankings Are Reshaping Higher Education; Rauhvargers, A., Global university rankings and their impact (2011) Leadership for WorldClass Universities Challenges for Developing Countries June; Zhou, P., Ang, B.W., Zhou, D.Q., Weighting and aggregation in composite indicator construction: A multiplicative optimization approach (2010) Social Indicators Research, 96 (1), pp. 169-181; Ismail, E.M., Ranking of universities (2010) 2nd International Conference on Assessing Quality in Higher Education, pp. 6-8; Saaty, T.L., (1988) What is the Analytic Hierarchy Process?, pp. 109-121. , Springer Berlin Heidelberg; Lingxi, Z., Hao, Y., Study on the AHP-based evaluation system of excellence of university classes (2010) Education and Management Technology (ICEMT), 2010 International Conference on, pp. 242-247. , IEEE; Badri, M.A., Abdulla, M.H., Awards of excellence in institutions of higher education: An AHP approach (2004) International Journal of Educational Management, 18 (4), pp. 224-242; Lavy, V., Evaluating the effect of teachers" group performance incentives on pupil achievement (2002) Journal of Political Economy, 110 (6), pp. 1286-1317; Saltelli, A., Composite indicators between analysis and advocacy (2007) Social Indicators Research, 81 (1), pp. 65-77; Bandura, R., (2008) A Survey of Composite Indices Measuring Country Performance: 2008 Update, , Office of Development Studies, New York: United Nations Development Program; Giovannini, E., Nardo, M., Saisana, M., Saltelli, A., Tarantola, A., Hoffman, A., Handbook on constructing composite indicators: Methodology and user guide (2008) Organisation for Economic Cooperation and Development (OECD); Saisana, M., Hombres, B., Saltelli, A., Rickety numbers: Volatility of university rankings and policy implications (2011) Research Policy, 40 (1), pp. 165-177; Paruolo, P., Saisana, M., Saltelli, A., Ratings and rankings: Voodoo or science? (2012) Journal of the Royal Statistical Society: Series A (Statistics in Society); Saaty, T.L., Vargas, L.G., Fundamentals of decision making and priority theory with the analytic hierarchy process (2000) The Analytic Hierarchy Process, 6; Eccles, C., The use of university rankings in the United Kingdom (2002) Higher Education in Europe, 27 (4), pp. 423-432; Qian, X., Qu, W.-L., Qiu, F.-C., The design for the index system of college teachers performance assessment based on the AHP method J] (2008) Journal of Qingdao University of Science and Technology (Social Sciences), 4, p. 021; Forman, E., Peniwati, K., Aggregating individual judgments and priorities with the analytic hierarchy process (1998) European Journal of Operational Research, 108 (1), pp. 165-169; Escobar, M.T., Jos�, M.M.-J., Aggregation of individual preference structures in AHP-group decision making (2007) Group Decision and Negotiation, 16 (4), pp. 287-301; Alonso, J.A., Lamata, M.T., Consistency in the analytic hierarchy process: A new approach (2006) International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 14 (4), pp. 445-459; Aguaron, J., Jos, M.M.-J., The geometric consistency index: Approximated thresholds (2003) European Journal of Operational Research, 147 (1), pp. 137-145
dcterms.sourceScopus

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
avatar_scholar_256.png
Size:
6.31 KB
Format:
Portable Network Graphics
Description: