IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v1y2018i6id60194.html

The Role of Global Educational Database in Educational Data Mining

Author

Listed:
  • Soumita Banerjee

Abstract

Educational Data Mining is one of the major on-going research platforms now. Students’ records need to be maintained and analyzed in a manner so that they can be utilized to predict students’ behavior and learning methods. Although students’ academic records need to be processed and analyzed through data mining tools, the primary challenge is to gather individual academic student details. This paper proposes a global database of students irrespective of geographical boundaries. Academic performance of every student from every country will be updated in this platform. Students’ performance on major examinations will be available in the database. Supporting documents and performance details will be readily available and accessible to the evaluators from any geographic location. This will be helpful to standardize the evaluation process and analyze the performance of a student, irrespective of geographic boundaries. The following paper will discuss the available EDM tools and how data can be analyzed to extract information.

Suggested Citation

  • Soumita Banerjee, 2018. "The Role of Global Educational Database in Educational Data Mining," European Journal of Engineering and Technology Research, European Open Science, vol. 1(6), pages 16-26, July.
    • Handle: RePEc:epw:ejeng0:v:1:y:2018:i:6:id:60194
    DOI: 10.24018/ejeng.2016.1.6.194
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60194
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60194/11734
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2016.1.6.194?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    2. Robert J. Graham & Mohammad Jahani, 1977. "Management Science Process---People, Problems and Planning: A Systems Approach to Problem Identification," Interfaces, INFORMS, vol. 8(1), pages 50-55, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    2. Andrea Pellegrini & Riccardo Scarpa & Maria De Salvo & Laura Giuffrida & Giovanni Signorello, 2026. "Geographical and environmental dependencies in multivariate count models: Recreation demand for Italian national parks," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 28(2), pages 679-702, April.
    3. Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
    4. Timothy C. Haab, "undated". "A Utility Based Repeated Discrete Choice Model of Consumer Demand," Working Papers 9611, East Carolina University, Department of Economics.
    5. Jeffrey Englin & Klaus Moeltner, 2004. "The Value of Snowfall to Skiers and Boarders," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(1), pages 123-136, September.
    6. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
    7. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    8. Riccardo Scarpa & Mara Thiene & Tiziano Tempesta, 2007. "Latent class count models of total visitation demand: days out hiking in the eastern Alps," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 447-460, December.
    9. Wan-Jiun Chen & Jihn-Fa Jan & Chih-Hsin Chung & Shyue-Cherng Liaw, 2025. "Exploring the Economic Viability of Agro-Ecotourism as a Climate Change Adaptation Measure: A Travel Cost Approach," Sustainability, MDPI, vol. 17(8), pages 1-18, April.
    10. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    11. Lin, Pei-Chien & Adams, Richard M. & Berrens, Robert P., 1996. "Welfare Effects Of Fishery Policies: Native American Treaty Rights And Recreational Salmon Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-14, December.
    12. Tobarra-González, Miguel Angel, . "Valoración del Parque Natural de Calblanque y tratamiento de respuestas protesta," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(01), pages 1-24.
    13. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    14. Grilli, Gianluca & Curtis, John & Hynes, Stephen & Landgraf, Gavin, 2017. "The value of tourist angling: a travel cost method estimation of demand for two destination salmon rivers in Ireland," Papers WP570, Economic and Social Research Institute (ESRI).
    15. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    16. Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    17. Grilli, Gianluca & Curtis, John & Hynes, Stephen & O’Reilly, Paul, 2018. "Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort," Ecological Economics, Elsevier, vol. 149(C), pages 285-293.
    18. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
    19. Stephen Hynes & Brian Cahill & Emma J. Dillon, 2007. "A Negative Binomial Discrete Choice Model of Forestry Recreation in Ireland," Working Papers 0709, Rural Economy and Development Programme,Teagasc.
    20. Alén, Elisa & Nicolau, Juan Luis & Losada, Nieves & Domínguez, Trinidad, 2014. "Determinant factors of senior tourists’ length of stay," Annals of Tourism Research, Elsevier, vol. 49(C), pages 19-32.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:1:y:2018:i:6:id:60194. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.