skip to main content
10.1145/2090116.2090138acmotherconferencesArticle/Chapter ViewAbstractPublication PageslakConference Proceedingsconference-collections
research-article

Applying analytics for a learning portal: the Organic.Edunet case study

Published:27 February 2011Publication History

ABSTRACT

Learning portals are education-oriented Web portals, which provide access to a variety of educational material, usually coming from various sources. In order to explore how they can support their users during an educational activity (e.g. preparation of teaching a course), it would be interesting to study the behavior of their visitors, focusing on the particular context in which specific actions are taking place. For example, user activities may be analyzed during specific learning events, when activities are more focused. This paper discusses the case study of the Organic.Edunet Web portal (www.organic-edunet.eu), a learning portal for organic agriculture educators that provides access to more than 10,500 learning resources from a federation of 11 institutional repositories. The portal mostly focuses on serving school teachers and university tutors and has attracted until today almost 42.200 unique visitors from more than 160 countries, out of which about 2.600 have registered to the portal. An effort is made to study the users' behavior, focusing in tutors and educators in both schools and universities, in relation to specific training events in which we know that they have been involved. Therefore, we analyze logs of user activities that took place on specific dates and geographical locations, in order to potentially identify notable changes in their normal visiting behavior.

References

  1. Belcher, M., Place, E. & Conole, G. (2000). "Quality assurance in subject gateways: creating high quality portals on the Internet". Quality Assurance in Education, 8 (1), 38--47Google ScholarGoogle ScholarCross RefCross Ref
  2. Buckley, B. C., Gobert, J. D. and Horwitz P. (2006). Using log files to track students' model-based inquiry. In Proceedings of the 7th international conference on Learning sciences (ICLS '06). International Society of the Learning Sciences 57--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Carr, L., Brody, T. and Swan, A. (2008) Repository Statistics: What Do We Want to Know? In: Third International Conference on Open Repositories 2008, 1--4 April 2008, Southampton, United KingdomGoogle ScholarGoogle Scholar
  4. Dubé, L., Bourhis, A., & Jacob, R. (2003). "Towards a typology of virtual communities of practice", Retrieved on November 2nd, 2010 from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.98.2079&rep=rep1&type=pdfGoogle ScholarGoogle Scholar
  5. Duncan, C. (2002). Digital Repositories: the 'back-office of e-Learning or all e-Learning?', in Proc. of ALT-C 2002, Sunderland, 9--11 September.Google ScholarGoogle Scholar
  6. Hasan, L., Morris, A. and Probets, S., (2009). Using Google Analytics to Evaluate the Usability of E-Commerce Sites. Human Centered Design. In Proceedings of the 1st International Conference, HCD 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19--24, 2009 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Holden, C. (2003). From Local Challenges to a Global Community: Learning Repositories and the Global Learning Repositories Summit. Version 1.0, Academic ADL Co-Lab, November 11.Google ScholarGoogle Scholar
  8. Katz, R. N. (2002). Web Portals and Higher Education: Technologies to Make IT Personal. San Francisco, CA: John Wiley & Sons, Retrieved on November 1st, 2010 from: http://www.iskme.org/knowledge-bank/copy_of_articles/information-and-knowledge-management/pub5006d.pdfGoogle ScholarGoogle Scholar
  9. Piearrakos, D. Paliouras, G. Papatheodorou, C. and Spyropoulos, C. (2003). Web Usage Mining as a Tool for Personalisation: A Survey. User Modeling and User Adapted Interaction. Vol. 13, 2003, p. p. 311--372. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Portals Community Fundamentals (2001). Portal Definition and Types of Portals. PortalsCommunity. Retrieved August 23, 2001, http://www.portalscommunity.com/library/fundamentals.cfm.Google ScholarGoogle Scholar
  11. Santos Machado, C. and Becker, K. Distance Education: a Web Usage Mining Study for the Evaluation of Learning Site, In Proc. of the 3rd IEEE Int. Conference on Advanced Learning Technologies (ICALT'03), Athens, Greece. June 2003.Google ScholarGoogle ScholarCross RefCross Ref
  12. Silius, K. & Tervakari, A-M. (2003). "The usefulness of web-based learning environments. The Evaluation Tool into the Portal of Finnish Virtual University." International Conference on Network Universities and e-learning. 8--9 May 2003. Valencia. Spain.Google ScholarGoogle Scholar
  13. Stacey, E., & Rice, M. (2002). Evaluating an online learning environment. Australian Journal of Educational Technology, 18(3), 323--340.Google ScholarGoogle Scholar
  14. Tatnall, A.(2005). Web portals -- the New Gateways to Internet Information and Services. Hershey, PA: Idea Group Publishing. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Van Baalen, P., Bloemhof-Ruwaard, J. & Van Heck, E. (2005). "Knowledge sharing in an emerging network of practice: The role of a knowledge portal". European Management Journal, 23(3), 300--314Google ScholarGoogle ScholarCross RefCross Ref
  16. Van der Heijden, H. (2002). Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information Management 40(6) 541--549. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Winkler, R. (2001). Portals -- The All-In-One Web Supersites: Features, Functions, Definition, Taxonomy. SAP Design Guild, Edition 3. Retrieved August 23, 2001, http://www.sapdesignguild.org/editions/edition3/overview_edition3.asp.Google ScholarGoogle Scholar

Index Terms

  1. Applying analytics for a learning portal: the Organic.Edunet case study

    Recommendations

    Reviews

    Stewart Mark Godwin

    A learning portal is an educationally oriented Web-based environment used primarily by students and teachers. In this paper, the authors apply analytics to study the behavior of visitors to Organic.Edunet (http://portal.organic-edunet.eu/), a learning portal that provides over 10,500 learning resources. Organic.Edunet focuses on providing resources to organic agriculture teachers and university tutors, to enrich their teaching activities. The authors examined the log files of visitor activity-a previous study of the same learning portal already used a questionnaire to evaluate it. The data collection focused on visitor use of the learning portal before, during, and after several organized "open days." These "open days" gave visitors the chance to use and experience the learning portal resources. The statistics derived from this study do not reveal any significant new information and generally support the usage patterns of similar learning portals. The paper's conclusion explains the analysis of the data, but fails to reconcile the outcomes with other studies or even general Web portal usage. It is difficult to envisage how this study could be of any interest to the general teaching population or learning portal developers. I concur with the paper's final paragraph: further research is required, along with a more detailed analysis of learning portals. Online Computing Reviews Service

    Access critical reviews of Computing literature here

    Become a reviewer for Computing Reviews.

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      LAK '11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge
      February 2011
      195 pages
      ISBN:9781450309448
      DOI:10.1145/2090116

      Copyright © 2011 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 February 2011

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate236of782submissions,30%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader