Title: Integration of Databases for Decision Making to Improve Learning Outcomes
Abstract: No AccessSep 2017Integration of Databases for Decision Making to Improve Learning OutcomesAuthors/Editors: Husein Abdul-HamidHusein Abdul-HamidSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1099-2_ch6AboutView ChaptersFull TextPDF (1 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Establishes that a fully functioning education management information system (EMIS) tracks schools and students, integrating information from different sources (demographics, financials, instructional, personnel, support, resources, and so on) in order to harness the power of data and benefit the system. Data integration requires strategy, standards, collaboration, and systematic data flow to maximize the value of data toward tangible interventions and results in relation to student learning and improvements. Unique identification for schools, teachers, and students should rest on (existing) national identification systems and policies spanning different sectors and ministries. This enables governments to track progress of individuals throughout their academic experience and allows for tracer studies based on longitudinal databases, which could reap substantial benefits for policy making, especially in relation to learning outcomes. Governments should choose between different methodologies/technologies to find the best fit for their country-specific context, but data protection, security, and privacy provisions must exist to eliminate data breaches. ReferencesAtick, Joseph, Alan Gelb, Seda Pahlavooni, Elena Gasol Ramos, and Zaid Safdar. 2014. “Digital Identity Toolkit: A Guide for Stakeholders in Africa.” World Bank, Washington, DC. http://documents.worldbank.org/curated/en/2014/06/20272197/digital-identity-toolkit-guide-stakeholders-africa. Google ScholarAustralian Government. 2016. USI RTO Webinar: “New Functions and Expert Tips.” USI Office, Australian Government, August. https://www.usi.gov.au/system/files/documents/usi_webinar_presentation_-_new_functions_and_expert_tips_-_10_august_2016_0.pdf. Google ScholarBauer, Johannes, Michel van Eeten, Tithi Chattopadhyay, and Yuehua Wu. 2008. “ITU Study on the Financial Aspects of Network Security: Malware and Spam.” http://www.itu.int/ITU-D/cyb/cybersecurity/docs/itu-study-financial-aspects-of-malware-and-spam.pdf. Google ScholarBrito, Steve, Ana Corbacho, and René Osorio. 2013. “Birth Registration: The Key to Social Inclusion in Latin America and the Caribbean.” Inter-American Development Bank, Washington DC. Google ScholarCSIS (Center for Strategic and International Studies) and McAfee. 2014. “Net Losses: Estimating the Global Cost of Cybercrime.” http://www.mcafee.com/us/resources/reports/rp-economic-impact-cybercrime2.pdf. Google ScholarDepartment of Education, Philippines. 2015. “Education for All 2015 National Review Report: Philippines.” Google ScholarDQC (Data Quality Campaign). 2015. “EMIS in Different Country Contexts.” Presented by Paige Kowalski at the World Bank Education Staff Development Program, Washington, DC. Google ScholarGeorge, Tina and Kathy Lindert. 2016. “Social, Protection and Labor Delivery Systems: Solving the Challenges of Fragmentation and Static Systems.” Presentation, World Bank, Washington DC. Google ScholarIDB (Inter-American Development Bank). 2011. “Newborn Citizens on BIDtv.” IDB, Washington, DC. https://vimeo.com/29405202. Google ScholarIDB (Inter-American Development Bank). 2014. “Factsheet: Civil Registration and Identity Management in Latin America and the Caribbean.” IDB, Washington, DC. Google ScholarIDB (Inter-American Development Bank). 2016. “Civil Registry and Identification.” IDB, Washington, DC. http://iadb.libguides.com/registros. Google ScholarILO (International Labour Organization). 2015. “Social Protection in Action: Building Social Protection Floors.” ILO, Geneva. Google ScholarMalik, Tariq. 2014. “Technology in the Service of Development: The NADRA Story.” Center for Global Development, London. http://www.cgdev.org/publication/ft/technology-service-development-nadra-story. Google ScholarMassell, D, 2001. “The Data-Driven Theory of Change: Effects and Implications.” Paper presented at the annual meeting of the American Educational Research Association, Seattle, WA. Google ScholarMcQuiggan, Jaime and Armistead Sapp. 2014. Implement, Improve and Expand Your Statewide Longitudinal Data System: Creating a Culture of Data in Education. Hoboken, NJ: John Wiley & Sons. CrossrefGoogle ScholarMontenegro Torres, Fernando. 2013. “Costa Rica Case Study: Primary Health Care Achievements and Challenges within the Framework of the Social Health Insurance.” Universal Health Coverage (UNICO) Studies Series 14, World Bank, Washington, DC. Google ScholarNdiku, Mbenge T and Naomi W Mwai. 2015. “Equalizing Utilization of Information among Rural Schools in Kenya through Satellite Technology.” Department of Information and Knowledge Management, Technical University of Kenya. Google ScholarOECD (Organisation for Economic Co-operation and Development). 2013. “Chile: Education Policy Outlook 2013.” OECD, Paris. Google ScholarPonemon Institute. 2014. “Cost of Data Breach Study: Global Analysis.” Study for IBM. http://public.dhe.ibm.com/common/ssi/ecm/se/en/sel03027usen/SEL27USEN.pdf. Google ScholarRinaldi, Gian Marco and Viola Macrelli. 2017. “The EU eIDAS Regulation and the SPID Scheme.” Bird & Bird News Centre, March 21. Google ScholarSanders, W and S Horn. 1994. “The Tennessee Value-Added Assessment System (TVAAS): Mixed-Model Methodology in Educational Assessment.” Journal of Personnel Evaluation in Education 8 (3): 299–311. CrossrefGoogle ScholarSeltzer, M H, K Choi, and Y M Thum. 2003. “Examining Relationships between Where Students Start and How Rapidly They Progress: Using New Developments in Growth Modeling to Gain Insights into the Distribution of Achievement within Schools.” Educational Evaluation and Policy Analysis 25 (3): 263–86. CrossrefGoogle ScholarSeltzer, M H, K A Frank, and A S Bryk. 1994. “The Metric Matters: The Sensitivity of Conclusions about Growth in Student Achievement to Choice of Metric. Educational Evaluation and Policy Analysis 16 (1): 41–49. CrossrefGoogle ScholarSerim, F, 2003. No More Flying Blind: Using Data-Driven Decision Making to Guide Student Learning. Washington, DC: Consortium for School Networking. Google ScholarStreifer, P, 2002. Using Data to Make Better Education Decisions. Lanham, MD: Scarecrow Education and American Association of School Administrators. Google ScholarSymantec. 2013. “The Norton Report 2013.” https://msisac.cisecurity.org/resources/reports/documents/b-norton-report-2013.pdf. Google ScholarThe Hindu. 2010. “Students to Get UID Number.” The Hindu, Kerala, September 17. http://www.thehindu.com/todays-paper/tp-national/tp-kerala/students-to-get-uid-number/article673940.ece. Google ScholarUNESCO (United Nations Education, Scientific, and Cultural Organization). 2014. “Regional Report about Education for All in Latin America and the Caribbean.” Report for the Global Education for All Meeting, Muscat, Oman, May 12 and 14. UNESCO, Santiago, Chile. Google ScholarUNICEF (United Nations Children’s Fund). 2013. “UNICEF Annual Report: Peru.” UNICEF, New York. Google ScholarUNICEF and ECLAC (Economic Commission for Latin America and the Caribbean). 2011. “The Right to an Identity: Birth Registration in Latin America and the Caribbean.” Challenges: Newsletter on Progress toward the Millennium Development Goals from a Child Rights Perspective, No. 13. http://repositorio.cepal.org/handle/11362/35984. Google ScholarWainer, H, R Hambleton, and K Meara. 1999. “Alternative Displays for Communicating NAEP Results: A Redesign and Validity Study. Journal of Educational Measurement 36 (4): 301–35. CrossrefGoogle ScholarWelch, Tessa and Jennifer Glennie. 2016. “OER Contributing to Early Literacy in Africa: Evidence from Saide’s African Storybook.” Saide, Johannesburg. Google ScholarWilliams-Grut, Oscar. 2016. “One Picture Shows Just How Hot Fintech Is Right Now—But People Are Talking about ‘Froth.’” Business Insider Australia, February 10. Google ScholarWorld Bank. 2015a. “Identification for Development (ID4D).” World Bank, Washington, DC, (accessed on March 13, 2017), http://www.worldbank.org/en/programs/id4d. Google ScholarWorld Bank. 2015b. “The Role of Identification in the Post-2015 Development Agenda.” World Bank, Washington, DC. Google ScholarWorld Bank. 2016a. “Identification for Development: Strategic Framework.” World Bank, Washington, DC, January 25. LinkGoogle ScholarWorld Bank. 2016b. World Development Report 2016: Digital Dividends. Washington, DC: World Bank. LinkGoogle Scholar Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: September 2017ISBN: 978-1-4648-1099-2e-ISBN: 978-1-4648-1100-5 Copyright & Permissions Related TopicsEducationInformation and Communication Technologies KeywordsEDUCATION MANAGEMENT INFORMATION SYSTEMEMISDATA QUALITYACCOUNTABILITYSTRATEGIC PLANNINGINFORMATION TECHNOLOGYBENCHMARKINGSOFTWAREOPEN-ARCHITECTURE FRAMEWORKQUALITY CONTROLEDUCATIONAL OUTCOMESRETURNS TO EDUCATION PDF DownloadLoading ...
Publication Year: 2017
Publication Date: 2017-09-21
Language: en
Type: book-chapter
Indexed In: ['crossref']
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