El smartphone en la educación superiorUn estudio comparativo del uso educativo, social y ubicuo en universidades españolas e hispanoamericanas

  1. Vázquez-Cano, Esteban 1
  2. Sevillano García, Luisa
  1. 1 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

Journal:
Signo y pensamiento

ISSN: 0120-4823

Year of publication: 2015

Volume: 34

Issue: 67

Pages: 132-149

Type: Article

DOI: 10.11144/JAVERIANA.SYP34-67.SESE DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Signo y pensamiento

Abstract

The objective of this research is to analyze from a general and comparative perspective how students from five Spanish and five Latin American universities use the smartphone from an educational, social and ubiquitous perspective. It is analysed a total sample of 886 students (442 Spanish and 444 Latin American) corresponding to five Spanish and five Latin American universities. The research methodology was based on factorial analysis and comparison between groups with parametric and nonparametric tests. The general results in both regions show that smartphone is used mainly for: exchange of academic information, group work coordination and for the consultation of university services. The comparative study in both regions show that Spanish students use the smartphone in a slightly higher percentage for the exchange of academic information (+ 12.3%); by contrast, the Latin American students most often use the smartphone for educational purposes outside the campus.

Bibliographic References

  • Aarts, E. y Marzano, S. (2003). The New Everyday: Views on Ambient Intelligence. Rotterdam: 010 Publishers.
  • Adobe (2014). U.S. Mobile Benchmark Report. Recuperado de http://www.cmo.com/content/dam/CMO_Other/ADI/ADI_Mobile_Report_2014/2014_US_Mobile_Benchmark_Report.pdf
  • Ahmed, S. y Parsons, D. (2013). Abductive science inquiry using mobile devices in the classroom. Computers & Education, 63, 62-72.
  • Barbosa, J. L., Barbosa, D. N. y Wagner, A. (2012). Learning in Ubiquitous Computing Environments. International Journal of Information and Communication Technology Education, 8(3), 64-77.
  • Bartholomew, D. J. (1987). Latent Variable Models and Factor Analysis. New York, Nueva York: Oxford University Press.
  • Bonett, D. G. y Price, R. M. (2005). Inferential methods for the tetrachoric correlation coefficient. Journal of Educational and Behavioral Statistics, 30, 213-225.
  • Bernstein, I. H., Garbin, C. y Teng, G. (1988). Applied Multivariate Analysis. Nueva York: SpringerVerlag.
  • Buckingham, S. y Ferguson, R. (2012). Social Learning Analytics. Educational Technology & Society, 15(3), 3-26.
  • Burbules, N. (2012). Ubiquitous Learning and the Future of Teaching. Encounters, 13, 3-14.
  • Chen, B. y Denoyelles, A. (2013). Exploring Students’ Mobile Learning Practices in Higher Education. Educase Review Online. Recuperado de http://www.educause.edu/ero/ article/exploring-students-mobile-learningpractices-higher-education
  • Ciampa, K. (2014). Learning in a mobile age: an investigation of student motivation. Journal of Computer Assisted Learning, 30, 82-96.
  • Cochrane, T. D. (2014). Critical success factors for transforming pedagogy with mobile Web 2.0. British Journal of Educational Technology, 45, 65-82.
  • Cope, B. y Kalantzis, M. (2009). Multiliteracies: New literacies. New Learning, Pedagogies, 4, 164-195.
  • Deloitte (2014). Consumo móvil en España 2014. Revolución y evolución. Recuperado de http:// www2.deloitte.com/es/es/pages/technologymedia-and-telecommunications/articles/ consumo-medios-espana.html
  • Dennen, V. P. y Hao, S. (2014). Intentionally mobile pedagogy: The M-COPE framework for mobile learning in higher education. Technology, Pedagogy and Education, 23(3), 397-419.
  • Ditrendia (2014). Informe Ditrendia: Mobile en España y el mundo. Recuperado de http://www.ditrendia.es/wp-content/uploads/2014/07/DitrendiaInforme-Mobile-en-Espa%C3%B1a-y-en-elMundo.pdf
  • Ericson (2014a). Europe Ericsson Mobility Report Appendix. Recuperado de http://www.ericsson. com/res/docs/2014/emr-june2014-regionalappendices-europe.pdf
  • Ericsson (2014b). Ericsson Mobility Report On the Pulse of The Networked Society. Recuperado de http://www.ericsson.com/mobility-report
  • Ferrando, P. J. (2009). Multidimensional factoranalysis-based procedures for assessing scalability in personality measurement. Structural Equation Modeling, 16, 10-133.
  • Garcia Mendoza, G. A. (2014). A comparative study of computer and mobile phone-mediated collaboration: The case of university students in Japan. Mobile Learning Applications in Higher Education. RUSC. Universities and Knowledge Society Journal, 11(1), 222-237.
  • Gegenfurtner, A., Veermans, K. y Vauras, M. (2013). Effects of computer support, collaboration, and time lag on performance self-efficacy and transfer of training: A longitudinal meta-analysis. Educational Research Review, 8, 75-89.
  • Greenfield, A. (2006). The dawning age of ubiquitous computing. Sebastopol: Peachpit Press. GSMA (2014). The Mobile Economy 2014. Recuperado de http://www.gsmamobileeconomy.com/
  • Hair, J. F., Anderson, R. E., Tatham, R. L., y Black, W. C. (1988). Multivariate Data Analysis. New Jersey: Prentice Hall.
  • Hansmann, U. (2003). Pervasive Computing: The Mobile World. Berlín: Springer Professional Computing.
  • Hawley, R., Poor, D. y Tuteja, M. (1997). Things that think. Personal Technologies, 1(1), 13-20.
  • Höller, V., Tsiatsis, C. Mulligan, S., Karnouskos, S. y Avesand, D. (2014). From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence. Academic Press: Elsevier.
  • Johnson, L., Adams Becker, S., Estrada, V. y Freeman, A. (2014). NMC Horizon Report: 2014 Higher Education Edition. Austin: The New Media Consortium.
  • Johnson, L., Adams Becker, S., Estrada, V. y Freeman, A. (2015). NMC Horizon Report: 2015 Higher Education Edition. Austin: The New Media Consortium.
  • Islas-Carmona, J. O. (2008). El prosumidor: el actor comunicativo de la sociedad de la ubicuidad. Palabra Clave, 11(1), 29-39.
  • Invasión Mobile (2014). Invasión Mobile en Latinoamérica. Recuperado de http://guialocal.com. ar/lp/informe/invasion-mobile-latam-2014/ ES/invasion-mobile-latam-2014.html
  • Keengwe, J. (2015). Promoting active learning through the integration of mobile and ubiquitous technologies. Hershey: IGI Global.
  • Marketing Cloud (2014). 2014 Mobile Behavior Report Combining mobile device tracking and consumer survey data to build a powerful mobile strategy. Recuperado de http://www. exacttarget.com/sites/exacttarget/files/deliverables/etmc-2014mobilebehaviorreport.pdf
  • McLeod, L. D., Swygert, K. A. y Thissen, D. (2001). Factor analysis for items scored in two categories. En D. Thissen y H. Wainer (Eds.). Test scoring (pp. 189-216). Mahwah: Lawrence Erlbaum.
  • Mercier, E. M. y Higgins S. E. (2013). Collaborative learning with multi-touch technology: Developing adaptive expertise. Learning and Instruction, 25, 13-23.
  • Nielsen (2013). The Mobile Consumer a Global Snapshot. Recuperado de http://www.nielsen.com/content/dam/corporate/us/en/reports-downloads/2013%20Reports/Mobile-Consumer-Report-2013.pdf
  • Norris, C., Hossain, A. y Soloway, E. (2011). Using smartphones as essential tools for learning: A call to place schools on the right side of the 21st century. Educational Technology, 51(3), 18-25.
  • Nunnaly, J. y Bernstein, I. (1994). Psychometric Theory. New York: McGraw-Hill.
  • Ogata, H., Houb, B., Li, M., Uosakic, N., Mouri, K. y Liu, S. (2014). Ubiquitous Learning Project Using Life-logging Technology in Japan. Educational Technology & Society, 17(2), 85-100.
  • Pearson (2014). Pearson Student Mobile Device Survey 2014. National Report: College Students. Recuperado de http://www.pearsoned. com/wp-content/uploads/Pearson-HEStudent-Mobile-Device-Survey-PUBLICReport-051614.pdf
  • Sakamura, K. y Koshizuka, N. (2005). Ubiquitous computing technologies for ubiquitous learning. Wireless and Mobile Technologies in Education. WMTE 2005. IEEE International Workshop, 11-20.
  • Sevillano, M. L. y Vázquez-Cano, E. (2015). The impact of digital mobile devices in Higher Education. Educational Technology & Society, 18(1), 106-118.
  • Taylor, P. (2015). Ubiquity University Reinvents Competency-Based Higher Education. Recuperado de http://www.prweb.com/ releases/2014/12/prweb12369734.htm
  • Thackara, J. (2001). The design challenge of pervasive computing. Interactions, 8(3), 46-52.
  • Unesco (2013). Unesco Policy Guidelines for Mobile Learning. París: United Nations Educational, Scientific and Cultural Organization.
  • Vázquez-Cano, E. (2012). Mobile learning with Twitter to improve linguistic competence at secondary schools. The New educational Review, 29(3), 134-147.
  • Vázquez-Cano, E., Fombona, J. y Fernández, A. (2013). Virtual Attendance: Analysis of an audiovisual over IP system for distance learning in the Spanish Open University (UNED). The International Review of Research in Open and Distance Learning, 14(3), 402-426.
  • Vázquez-Cano, E. y Sevillano, M. L. (2014). Analysis of the didactic use of tablets in the European Higher Education Area.Universities And Knowledge Society Journal, 11(3), 63-77.
  • Vázquez-Cano, E. (2014). Mobile distance learning with smartphones and apps in higher education. Educational Sciences: Theory & Practice, 14(4), 1-16.
  • Webcertain (2014). The Webcertain Global Search and Social Report 2014. Recuperado de http:// internationaldigitalhub.com/en/publications/ the-webcertain-global-search-and-social- -report-2014
  • Weiser, M. (1993). Ubiquitous computing. Computer, 26, 71-72. Weiser, M. y Brown, J. S. (1995). Designing Calm Technology. Xerox PARC.
  • Williams, J. y Michelitsch, G. (2003). Designing effective haptic interaction: inverted damping. In Extended abstracts on Human factors in computing systems, ACM, 856-857
  • Wu, W.H., Wu, Y.C., Chen, C.Y., Kao, H.K., Lin, C.H., y Huang, S.H. (2012). Review of trends from mobile learning studies: A metaanalysis. Computers & Education, 59, 817-827.
  • Yahya, S., Ahmad E.A., y Jalil, K.A. (2010). The definition and characteristics of ubiquitous learning: A discussion. International Journal of Education and Development using Information and Communication Technology, 6(1), 117-127.