Distance and virtual education: quality, disruption, adaptive learning and mobile learning
DOI:
https://doi.org/10.5944/ried.20.2.18737Keywords:
distance education, digital learning, quality and effectiveness, disruptive education, learning analytics, adaptive learning, mobile learning.Abstract
Although faced with resistances, distance and digital education is overtaking face-to-face formats. When pedagogical designs are successful, there is evidence of the quality of digital learning. The effectiveness of these systems is at least similar to that of face-to-face proposals. This paper introduces the debate on innovations and disruptive technologies, arguing that digital learning (as a new version of distance education) is an educational disruption both because it brings about a drastic change of media and methods and because it is continually gaining ground from conventional formats. Finally, it is claimed that this trend is not exhausted, but continues to penetrate and deepen the break with new technologies, such as learning analytics, adaptive learning and mobile learning.
Downloads
References
Adell, J. y Castañeda, L. (2012). Tecnologías emergentes, ¿pedagogías emergentes? En Tendencias emergentes en educación con TIC. Barcelona: Espiral.
Allen, E. y Seama, J. (2016). Online report card tracking online education in the U.S. Babson Survey Research Group and Quahog Research Group, LLC.
Appana, S. (2008). A review of benefits and limitations of online learning in the context of the student, the instructor, and the tenured faculty. International Journal on ELearning, 7(1), 5.
Arkorful, V., & Abaidoo, N. (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning, 12(1), 29-42.
Bayne, S.; Knox, J. y Ross, J. (2015). Open education: the need for a critical approach. Open education: the need for a critical approach, Learning, Media and Technology, 40:3, 247-250, DOI: 10.1080/17439884.2015.1065272
Bramble, W. J., & Panda, S. (Eds.). (2008). Economics of distance and online learning: Theory, practice and research. Routledge.
Buckingham, S., & Ferguson, R. (2012). Social Learning Analytics. Educational Technology and Society, 15(3), 3-26.
Burbules, N. (2012). Entrevista a Nicolás Burbulés. Webinar, 2012. Recuperado de http://goo.gl/DpJEcH.
Cabrol, M. y Severin, E. (2010). TICS en educación: una innovación disruptiva. Aportes BID, nº 2. Recuperado de: http://www.iadb.org/wmsfiles/products/publications/documents/35130690.pdf
Carey, T. y Trick, D. (2013). How Online Learning Affects Productivity, Cost and Quality in Higher Education: An Environmental Scan and Review of the Literature. Toronto: Higher Education Quality Council of Ontario.
Christensen, C. M. (1997). The innovator’s dilemma: when new technologies cause great firms to fail. Boston: Harvard Business School Press.
Christensen, C. M., Horn, M. B. & Johnson, C. W. (2008). Disruptin class: How disruptive innovation will change the way the world learns. Nueva York: McGraw-Hill Professional.
Christensen, C. M. (2012). Disruptive innovation. En M. Soegaard y R. F. Dam (Ed.), Encyclopedia of human-computer interaction. Recuperado de: http://www.interaction-design.org/encyclopedia/disruptive_innovation.html
Domínguez, D., Álvarez, J.F., & Gil-Jaurena, I. (2016). Analítica del aprendizaje y Big Data: heurísticas y marcos interpretativos. DILEMATA, International Journal of Applied Ethics, 22, 87-103. Recuperado de: http://www.dilemata.net/revista/index.php/dilemata/article/view/412000042/450
Ekren, G., y Kumtepe, E. G. (2016, April). Openness Initiatives in Distance Education. In Global Learn, 16(1), pp. 346-351.
Ferguson, R. (2012). The State of Learning Analytics in 2012: A Review and Future Challenges. Technical Report. London: The Open University, UK.
García Aretio, L. (1985). Licenciados extremeños de la UNED. Mérida. Badajoz: UNED-Mérida.
García Aretio, L. (1994). Educación a distancia hoy. Madrid: UNED.
García Aretio, L. (Coord.) (1997). Investigar para mejorar la calidad de la Universidad. Madrid: UNED.
García Aretio, L. (2001). La educación a distancia. De la teoría a la práctica. Barcelona: Ariel.
García Aretio, L. (2009). ¿Por qué va ganando la educación a distancia? Madrid: UNED.
García Aretio, L. (2014). Bases, mediaciones y futuro de la educación a distancia en la sociedad digital. Madrid: Síntesis.
García Aretio, L. y Ruíz Corbella, M. (2010) La eficacia de la educación a distancia: ¿un problema resuelto? Teoría de la educación, 22(1).
García-Peñalvo, F. J. y Seoane-Pardo, A. M. (2015). Una revisión actualizada del concepto de eLearning. Décimo Aniversario. Education in the Knowledge Society (EKS), 16(1), 119-144, doi: http://dx.doi.org/10.14201/eks2015161119144
Guri-Rosenblit, S. (2009). Distance education in the digital age: Common misconceptions and challenging tasks. Journal of Distance Education (Online), 23(2), 105.
Hooft, M., Swan, K., Cook, D., y Lin, Y. (2007). What is ubiquitous computing? In M. van't Hooft & K. Swan (Eds.), Ubiquitous computing in education. Mahwah: Lawrence Erlbaum Associates.
Horizon Report (2017). The NMC Horizon Report: 2017 Higher Education Edition. Recuperado de https://goo.gl/3Udytu
Howard, C., Schenk, K., & Discenza, R. (Eds.). (2004). Distance learning and university effectiveness: Changing educational paradigms for online learning. IGI Global.
ITU-International Telecommunication Union. (2016). Measuring the Information Society Report. Recuperado de: http://www.itu.int/en/ITU-D/Statistics/Documents/publications/misr2016/MISR2016-w4.pdf
Johnson, L., Adams, S., y Cummins, M. (2012). The NMC Horizon Report: 2012 Higher Education. Austin: The New Media Consortium.
Johnson, L., Adams, S., Gago, D., Garcia, E. y Martín, S. (2013). NMC Perspectivas Tecnológicas: Educación Superior en América Latina 2013-2018. Un Análisis Regional del Informe Horizon del NMC. Austin: The New Media Consortium.
Johnson, L., Adams, S., Cummins, M. y Estrada, V. (2012). Technology Outlook for STEM+ Education 2012-2017. NMC Horizon Report Sector Analysis.Austin, Texas: The New Media Consortium
Kim. K., Hwang, J., y Zo, H. (2016): Understanding users’ continuance intention toward smartphone augmented reality applications. Information Development, 32(2), 161-174.
Leris, D.; Vea, F.; Velamazán, A. (2015). Aprendizaje adaptativo en Moodle: tres casos prácticos. Education in the Knowledge Society, 16(4), 138-157
Means, B.; Toyama, Y.; Murphy, R.; Bakia, M. y Jones, K. (2009). Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. US Department of Education. Recuperado de https://eric.ed.gov/?id=ED505824
Moore, M. G. (Ed.). (2013). Handbook of distance education. UK: Routledge.
Ng, W., y Cumming, T. M. (Eds.). (2015). Sustaining Mobile Learning: Theory, Research and Practice. UK: Routledge.
Park, Y. (2011). A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types. . The International Review of Research in Open and Distance Learning, 12(2).
Picciano, A.G. (2012). The Evolution of Big Data and Learning Analytics in American Higher Education. Journal of Asynchronous Learning Networks, 16 (3), pp. 9-20.
Reich, J. (2015): Rebooting MOOC Research. Improve assessment, data sharing, and experimental design. Science, 347(6217), pp. 34-35. doi: 10.1126/science.1261627.
Saleh, S. Al, y Bhat, S. A. (2015). Mobile Learning: A Systematic Review. International Journal of Computer Applications, 114(11), 1–5.
Santiago, R., Trabaldo, S., Kamijo, M., y Fernández, Á. (2015). Mobile Learning: Nuevas realidades en el aula. Editorial Océano.
Sclater, N. y Mullan, J. (2017). Learning Analytics in Higher Education: A Review of UK and International Practice. Recuperado de https://goo.gl/g0roCB
Sergio, F. (2012). 10 ways that mobile learning will revolutionize education. Recuperado de http://www.fastcodesign.com/1669896/10-ways-hat-mobilelearning-will-revolutionize-education
Siemens, G, Gasevic, D., Haythornthwaite, C., Dawson, S., Buckingham, S., Ferguson, R., Duval, E., Verbert, K., & Baker, R.S.J.d. (2011). Open Learning Analytics: an integrated & modularized platform. Proposal to design, implement and evaluate an open platform to integrate heterogeneous learning analytics techniques. Concept paper. Recuperado de: https://goo.gl/ufr7zc
Siemens, G., Gašević, D., & Dawson, S. (Eds.), (2015). Preparing for the digital university: a review of the history and current state of distance, blended, and online learning. Edmonton, AB: Athabasca University.
Sui L. y Wu Y. (2016). Global Smartphone Sales Forecast for 88 Countries: 2007 to 2022. Strategy Analytics [blog]. Recuperado de: https://goo.gl/CsBY0i
Sung, Y. T., Chang, K. E., y Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252- 275. doi: http://dx.doi.org/10.1016/j.compedu.2015.11 .008.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & education, 50(4), 1183-1202.
The Guardian (2016). Mobile web browsing overtakes desktop for the first time. Recuperado de https://goo.gl/SFLvb9
The Higher Education Commission (2016). From Bricks to Clicks - The Potential of Data and Analytics in Higher Education. Recuperado de https://goo.gl/s132y7
Tyton Partners (2016). Learning to Adapt 2.0: The Evolution of Adaptive Learning in Higher Education. Recuperado de https://goo.gl/nXOZZB
UNESCO (2013). UNESCO policy guidelines for mobile learning. París: UNESCO.
Valk, J. H., Rashid, A. T., y Elder, L. (2010). Using mobile phones to improve educational outcomes: An analysis of evidence from Asia. The International Review of Research in Open and Distance Learning, 11(1), 117-140.
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 RIED. Revista Iberoamericana de Educación a Distancia

This work is licensed under a Creative Commons Attribution 4.0 International License.
The articles that are published in this journal are subject to the following terms:
1. The authors grant the exploitation rights of the work accepted for publication to RIED, guarantee to the journal the right to be the first publication of research understaken and permit the journal to distribute the work published under the license indicated in point 2.
2. The articles are published in the electronic edition of the journal under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. You can copy and redistribute the material in any medium or format, adapt, remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
3. Conditions for self-archiving. Authors are encouraged to disseminate electronically the OnlineFirst version (assessed version and accepted for publication) of its articles before publication, always with reference to its publication by RIED, favoring its circulation and dissemination earlier and with this a possible increase in its citation and reach among the academic community.

