Social Sciences

| Peer-Reviewed |

Big Data, Online Reputation and Knowledge Management in Higher Education Online

Received: 11 July 2016    Accepted: 27 July 2016    Published: 3 September 2016
Views:       Downloads:

Share This Article

Abstract

Summary: The progressive digitalization of our society has also transformed the online training. The new platforms offer more features, favour a tailored education and are compatible with the working life of the student. From the servers it is possible to measure the rate of interaction and the student’s dropout rates. For this reason, the phenomenon of Big Data requires a rethinking of the concept of reputation based on three ideas: transparency, trust and digital identity of the educational organization. This article analyzes the case of the School of Communication at the Istmo University (UNIS) in Guatemala. The use of Blackboard platform improved learning and interaction in those students. It is confirmed that the e-learning platform known as Blackboard facilitates learning and teacher-student interaction. This tool collects and updates data throughout the process, so that the educational organization can monitor the degree of interaction and student dropout.

DOI 10.11648/j.ss.s.2016050601.11
Published in Social Sciences (Volume 5, Issue 6-1, December 2016)

This article belongs to the Special Issue Re-Imagine Education for Social Improvement

Page(s) 1-6
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Learning Platforms, Big Data, Corporate Reputation, Digital Identity, Transparency, Visibility

References
[1] Machlup, F. The production and distribution of knowledge in the United States. Vol. 278. Princeton university press, 1962.
[2] Masuda, Y. The Information Society as Post-Industrial Society, Eds. World Future Society, 1981.
[3] Gibson, W. Neuromancer, Eds. Bloomfield Phantasia Press Edition, 1986.
[4] Drucker, P. F. The Age of Discontinuity, no. 431, pp. 15-34, 1969.
[5] Gates, B. Business @ the Speed of Thought: Succeeding in the Digital Economy, Eds. Collins Hemingway, Goodreads Author, 1999.
[6] Benito‐Ruiz, E. Infoxication 2.0, in Thomas, M., Ed. Handbook of Research: Web 2.0 and Second Language Learning, Pennsylvania: IGI-InfoSci, pp: 60-79, 2009.
[7] Area, M. Pessoa, T. De lo sólido a lo líquido: las nuevas alfabetizaciones ante los cambios culturales de la Web 2.0, in Comunicar, Vol. XIX, no. 38. pp. 13-20, 2010.
[8] Barnett, M. Corporate reputation: the definitional landscape, in Corporate Reputation Review, Vol. IX, 2006.
[9] Anderson, P. What is Web 2.0? Ideas, technologies and implications for education, JISC Technology and Standards Watch, Available online at: http://www.jisc.ac.uk/media/documents/techwatch/tsw0701b.pdf [last accessed: 10th January 2016]
[10] Fombrun, C and M. Shanley. Whats in a Name? Reputation Building and Corporate Strategy, in Academy of Management Journal, Vol. XXXIII, pp: 233 – 258, 1990.
[11] Wartick, S. L. The relationship between intense media exposure and change in corporate reputation, in Business & Society, Vol. 31, nº. 1, pp. 33-49, 1992.
[12] Deephouse, D. L. Media reputation as a strategic resource: An integration of mass communication and resource-based theories, in Journal of Management, Vol. XXVI, no. 6, pp. 1091-1112, 2000.
[13] Fombrun, C. J and Van Riel, C. B. Fame and fortune, Ft Press, 2004.
[14] Capriotti, P. Branding Corporativo. Fundamentos para la gestión estratégica de la identidad corporativa, Eds. Santiago: Libros de la empresa, 2009.
[15] Nguyen, N and LeBlanc, G. Image and reputation of higher education institutions in students’ retention decisions, in International Journal of Educational Management, Vol. XV, no. 6, pp. 303-311, 2001.
[16] Grunig, J and Hunt, T. Dirección de Relaciones Públicas, Eds. Barcelona: Gestión 2000, pp. 106, 2000.
[17] García Campos, J. M. Internet, alguien nos sigue, available online at: http://www.lavanguardia.com/estilos-de-vida/20120608/54308738272/internet-alguien-nos-sigue.html#ixzz2LiEUs400 [last accessed: 21th February 2016].
[18] Zhao, S. Cyber-gathering places and online-embedded relationships, in Paper presented at the annual meetings of the eastern sociological society in Boston, 2006.
[19] Roberts, B. W. Wood, D. Smith, JL. Evaluating five-factor theory and social investment perspectives on personality trait development, Journal of Research in Personality, Vol XXXIX, pp. 166–184, 2005.
[20] Giones-Valls, A. and Serrat-Brustenga, M. La gestión de la identidad digital: una nueva habilidad informacional y digital, in BID: Textos universitaris de biblioteconomia i documentació, June, no. 24, available at http://www.ub.edu/bid/24/giones2.htm [last accessed: 21th February 2016].
[21] Castells, M. La revolución de la tecnología de la información, in: La societat xarxa, Eds. UOC: Barcelona, pp. 61–113, 2003.
[22] Lara, T. El papel de la Universidad en la construcción de su identidad digital, in Cultura digital y prácticas creativas en educación, Revista de Universidad y Sociedad del Conocimiento (RUSC), Vol. VI, no. 1, Eds. Barcelona: UOC, 2009.
[23] Perez Subias, M. Identidad digital, Telos: Cuadernos de comunicación e innovación, no. 9, pp. 54-58.
[24] Carreras, R. Lo que no es y podría ser la reputación online, available online at: http://robertocarreras.es/lo-que-no-es-y-podria-ser-la-reputacion-online, pdf [last accessed: 20th December 2012]
[25] Guillermo, A. Internet convierte el boca-oreja en el eWom una poderosa herramienta de marketing, in Revista Computing eBusiness, pp. 28, 2006.
[26] Sundaram, DS. Mitra, K and Webster, C. Word-Of-Mouth Communications: a Motivational Analysis, in NA - Advances in Consumer Research, Vol. 25, eds. Joseph W. Alba & J. Wesley Hutchinson, Provo, UT: Association for Consumer Research, pp: 527-531, 1998.
[27] Cheung, M. Anitsal, M and Anitsal, I. Revisiting word-of-mouth communications: A cross-national exploration, in Journal of Marketing Theory and Practice, 14, pp. 235–279, 2007.
[28] López Pérez, M and Sicilia Piñero, M. The impact of e-wom. Advances in Advertising Research, Vol. II, pp. 217-232, 2012.
[29] Gupta, P and Harris, J. How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective, in Journal of Business Research, 2009.
[30] LMS Data, Spring Updates - Edutechnica.com, 2015.
[31] Best Colleges: Online Learning Survey: Online Student Needs, Preferences and Expectations. 2015, available online at: http://www.BestColleges.com.
[32] Kotsiantis, S. Patriarcheas, K and Xenos, M. A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education. Knowledge-Based Systems, vol. XXIII, Iss. 6, pp. 529–535, 2010.
[33] Mazza, R and Milani, C. Exploring usage analysis in learning systems: Gaining insights from visualisations. Workshop on Usage analysis in learning systems. at 12th International Conference on Artificial Intelligence in Education, pp. 1-6, Nueva York, 2005.
[34] Talavera, T and Gaudioso, E. Mining student data to characterize similar behaviour groups in unstructured collaboration spaces, Proc. 16th European Conf. Artificial Intelligence (ECAI), 2004.
[35] Mor, E and Minguillon, J. E-learning personalization based on itineraries and long-term navigational behaviour, Proceedings of the 13th International World Wide Web Conference, New York, 2004.
[36] Ritter, S. Anderson, J. R. Koedinger K. R. Corbett, A. Cognitive Tutor: Applied research in mathematics education, in Psychological Bulletin & Review, vol. XIV, Iss. 2, pp. 249-255, 2007.
[37] Reffay, C. Chanier, T. Social Network Analysis Used for Modelling Collaboration in Distance Learning Groups, Intelligent Tutoring Systems, Lecture Notes in Computer Science, Vol. 2363, pp 31-40, 2002.
[38] Santos, O. C. Boticario, J. G. Pérez-Marín, D. Extending web- based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle, in Science of Computer Programming, Doi: 10.1016/j.scico.2013.12.004, 2014.
[39] Song, S. K. Hu, X., Olney, A. Graesser, C. A framework of synthesizing tutoring conversation capability with web based distance education courseware,” in Computers & Education, Vol. XLII, Iss. 4, pp. 375–388, 2004.
[40] Mislevy, R. J. Behrens, J. T. Dicerbo, K. E. Levy, R. Design and discovery in educational assessment: evidence-centered design, psychometrics, and educational data mining, in Journal of Educational Data Mining, Vol. IV, Iss. 1, pp. 11–48, 2012.
[41] Abbasi, A. Chen, H. Salem, A. Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums, ACM Trans. Inform. Syst. 26, 3, Article 12, June 2008.
[42] Cheng, Tung Lai. Towards a new era in open education: from the “classical” to the “inventive” world of digital openness. Journal of Educational Research and Studies, 2013.
[43] New Media Consortium, et al. NMC Horizon Report: 2012 Higher Education Edition. Austin, TX: The New Media Consortium, 2015.
[44] Fain, Paul. Nearing the bottom. Inside Higher Ed, 2014.
[45] Pfeffer, Jeffrey. The human equation: Building profits by putting people first. Harvard Business Press, 1998.
Cite This Article
  • APA Style

    Consuelo León Llorente, Marta Matias Roca. (2016). Big Data, Online Reputation and Knowledge Management in Higher Education Online. Social Sciences, 5(6-1), 1-6. https://doi.org/10.11648/j.ss.s.2016050601.11

    Copy | Download

    ACS Style

    Consuelo León Llorente; Marta Matias Roca. Big Data, Online Reputation and Knowledge Management in Higher Education Online. Soc. Sci. 2016, 5(6-1), 1-6. doi: 10.11648/j.ss.s.2016050601.11

    Copy | Download

    AMA Style

    Consuelo León Llorente, Marta Matias Roca. Big Data, Online Reputation and Knowledge Management in Higher Education Online. Soc Sci. 2016;5(6-1):1-6. doi: 10.11648/j.ss.s.2016050601.11

    Copy | Download

  • @article{10.11648/j.ss.s.2016050601.11,
      author = {Consuelo León Llorente and Marta Matias Roca},
      title = {Big Data, Online Reputation and Knowledge Management in Higher Education Online},
      journal = {Social Sciences},
      volume = {5},
      number = {6-1},
      pages = {1-6},
      doi = {10.11648/j.ss.s.2016050601.11},
      url = {https://doi.org/10.11648/j.ss.s.2016050601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.s.2016050601.11},
      abstract = {Summary: The progressive digitalization of our society has also transformed the online training. The new platforms offer more features, favour a tailored education and are compatible with the working life of the student. From the servers it is possible to measure the rate of interaction and the student’s dropout rates. For this reason, the phenomenon of Big Data requires a rethinking of the concept of reputation based on three ideas: transparency, trust and digital identity of the educational organization. This article analyzes the case of the School of Communication at the Istmo University (UNIS) in Guatemala. The use of Blackboard platform improved learning and interaction in those students. It is confirmed that the e-learning platform known as Blackboard facilitates learning and teacher-student interaction. This tool collects and updates data throughout the process, so that the educational organization can monitor the degree of interaction and student dropout.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Big Data, Online Reputation and Knowledge Management in Higher Education Online
    AU  - Consuelo León Llorente
    AU  - Marta Matias Roca
    Y1  - 2016/09/03
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ss.s.2016050601.11
    DO  - 10.11648/j.ss.s.2016050601.11
    T2  - Social Sciences
    JF  - Social Sciences
    JO  - Social Sciences
    SP  - 1
    EP  - 6
    PB  - Science Publishing Group
    SN  - 2326-988X
    UR  - https://doi.org/10.11648/j.ss.s.2016050601.11
    AB  - Summary: The progressive digitalization of our society has also transformed the online training. The new platforms offer more features, favour a tailored education and are compatible with the working life of the student. From the servers it is possible to measure the rate of interaction and the student’s dropout rates. For this reason, the phenomenon of Big Data requires a rethinking of the concept of reputation based on three ideas: transparency, trust and digital identity of the educational organization. This article analyzes the case of the School of Communication at the Istmo University (UNIS) in Guatemala. The use of Blackboard platform improved learning and interaction in those students. It is confirmed that the e-learning platform known as Blackboard facilitates learning and teacher-student interaction. This tool collects and updates data throughout the process, so that the educational organization can monitor the degree of interaction and student dropout.
    VL  - 5
    IS  - 6-1
    ER  - 

    Copy | Download

Author Information
  • School of Communication, Istmo University, UNIS, Guatemala

  • Lakefield Hospitality College, London, England United Kingdom

  • Sections