Galdós SMC, Gort DE, Hurtado CG, Betancourt BJ, Basulto BMM, Basulto GMA

Language: Spanish
References: 25
Page: 1-18
PDF size: 336.18 Kb.

ABSTRACT

Introduction: Mobile learning (m-learning) consists in the inclusion of mobile devices into learning activities. In the teaching of medical parasitology and microbiology, such devices offer a high power of illustration and contribute to medical students’ learning of the subject; in addition, they serve as support to other profiles such as health technology.
Objective: To present the update, by means of an android application, of the Microbiology and Parasitology course at the University of Medical Sciences of Camagüey.
Methods: An optimized application for android 4.4 or higher was created with the Java programming language. This research was carried out at Carlos J. Finlay University of Medical Sciences and applied to medical students in the 2018-2019 and 2019-2020 academic years. The study universe was made up of 1446 students from the academic years from 2016 to 2020. A survey validated by experts was carried out, in the period between November and December 2020, with a probabilistic sample of 88 students from the University of Medical Sciences of Camagüey. Kendall's coefficient of general concordance (W) was calculated for the answers to the questions.
Results: Mikros was a teaching support tool, the result of a collaborative project between the Center of Immunology and Biological Products at the University of Medical Sciences and the School of Computer Engineering at Ignacio Agramonte University, in Camagüey, which allowed to present the professor in a teaching modality much in tune with the current times.
Conclusions: The Mikros application included basic concepts and a high update level. It also contributed to raising the student’s academic index and satisfaction with learning. It turned out to be a practical consultation tool for students of higher academic years of the major who are rotating through the clinical area, as well as a useful tool for distance learning in COVID-19 times.

REFERENCES

1. SCOPEO. m-learning en España, Portugal y América Latina. Monográfico SCOPEO. 2011[acceso 23/12/2020];(3). Disponible en: Disponible en: http://scopeo.usal.es/wp-content/uploads/2013/04/scopeom003.pdf 1.

2. Kalissa R, Palmer E, Miller J. Mobile learning in highier education. A comparative analysis of developed and developing country contexs. Br J Educ Technol. 2019;50(2):546-61. DOI: https://doi.org/10.1111/bjet.125832.

3. García Aretio L. Necesidad de una educación digital en un mundo digital. RIED. 2019;22(2):9-22. DOI: http://doi.org/10.1111/bjet.12583

4. Del Castillo Saiz GD, Sanjuán Gómez G, Gómez Martínez M. Tecnologías de la Información y las Comunicaciones: desafío que enfrenta la universidad de ciencias médicas. EDUMECENTRO. Mar 2018 [acceso 12/09/2019];10(1):168-82. Disponible en: Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2077-28742018000100011&lng=es 4.

5. Baron NS. Only Connect: What the Internet Might Be Doing to Us. The American Journal of Psychology. 2016 [access 12/09/2019];129:337-43. Available from: Available from: http://www.jstor.org/stable/10.5406/amerjpsyc.129.3.0337 5.

6. Lee J, Lin L, Robertson T. The impact of media multitasking on learning. Learning, Media and Technology. 2012;37:94-104. DOI: http://doi.org/10.1080/17439884.2012.5376646.

7. Pererira S, Filol J, Moura PE. Aprendizaje de los jóvenes con medios digitales fuera de la escuela: De lo informal a lo formal. Comunicar. 2019 [acceso 12/09/2019];27(58):41-50. Disponible en: Disponible en: https://www.revistacomunicar.com/index.php?contenido=detalles&numero=58articulo=58-019-04 7.

8. Mishra P, Roseth CJ. Preference for multitasking, technological dependency, student metacognition, and pervasive technology use: An experimental intervention. Computers in Human Behavior. 2016;65:241-51. DOI: http://doi.org/10.1016/j.chb.2016.08.0098.

9. Chen Q ;Yan Z. Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior. 2016; 54:34-42. http://doi.org/10.1016/j.chb.2015.07.0479.

10. Elkheir Z, Mutalib AA. Mobile Learning Applications Designing Concepts and Challenges: Survey. Research Journal of Applied Sciences, Engineering and Technology. 2015;10:438-42. DOI: http://doi.org/10.19026/rjaset.10.250910.

11. Issa TB, Isaias P. Internet factors influencing generations Y and Z in Australia and Portugal: A practical study. Information Processing & Management. 2016;52(4):592-617. DOI: http://doi.org/10.1016/J.IPM.2015.12.00611.

12. Cuesta Cambra U, Niño González JI, Rodríguez Terceño J. The Cognitive Processing of an Educational App with EEG and "Eye Tracking". Comunicar. 2017;25(52):41-50. DOI: http://doi.org/10.3916/c52-2017-0412.

13. Awang H, Aji ZM, Yaakob MFM, Osman WRS, Mukminim A, Habibi A. Teachers's intention to continue using Virtual Learning Enviroment (VLE): Malasyan context. J. Technol. Sci. Edu. 2018;8(4):439-52. DOI: https://doi.org/10.3926/jotse.46313.

14. . Mejía Dávila MR. M-Learning: Uso, características, ventajas y desventajas. Revista Tecnológica-Educativa Docentes 2.0. 2020[acceso 04/12/2020];8(1):50-2. Disponible en: Disponible en: https://ojs.docentes20.com/index.php/revista-docentes20/article/view/80 14.

15. De Oliveira ML, Galembeck E. Mobile Applications in Cell Biology Present New Approaches for Cell Modelling. Journal of Biological Education. 2016;50(3):290-303. DOI: https://doi.org/10.1080/0219266.2015.108542815.

16. Ahmed AA, Hussain Z, Rizvin WH, Virgilio MS. An analysis of the influence of a mobile learning outcomes of higher education students. Univ Access Inn Soc. 2018;17(2):325-34. DOI: http://doi.org/10.1007/s10209-017-0555-y16.

17. Cobos J, Simbaña V, Jaramillo L. El mobile-learning mediado con metodología PACIE para saberes constructivistas. Sophia, Colección de Filosofía de la Educación. 2020;28(1):139-62. DOI: https://doi.org/10.17163/soph.n28.2020.0517.

18. Rodrigo Cano D, de Casas Moreno P, Aguaded I. Aprendizaje móvil (m-learning) como recurso formativo para empresas. Revista Mediterránea de Comunicación. 2019;11(1). DOI: http://doi.org/10.14198/MEDCOM2020.11.1.1818.

19. UNESCO. Mejores prácticas de aprendizaje móvil. 2019[acceso 25/04/2020]. Disponible en: Disponible en: https://es.uneco.org/themes/tic-educacion/aprendizaje-movil/fazheng 19.

20. Boude Figueredo OR, Andrea Sarmiento J. El reto de formar a profesores universitarios para integrar el aprendizaje móvil. Educ Med Super. Mar 2017 [acceso 24/10/2019];31(1):61-77. Disponible en: Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-21412017000100007&lng=es 20.

21. Ríos Zaruma J, Chamba Rueda MF. Aplication of ICT and M-learning to improve collaborative learning and interaction using the NearpodPlatfom. 14th Iberian conference on Infomation Systems and Technologies (CISTI); 2019. p. 1-6. DOI: http://doi.org/10.23919/CISTI.2019.876072821.

22. Fombona Cadavieco J, Rodil Pérez FJ. Niveles de uso y aceptación de los dispositivos móviles en el aula. Pixe-Bit. Revista de Medios y Educación. 2018;52:21-35. DOI: http://doi.org/10.12795/pixelbit.2018.i52.0222.

23. García Valcárcel Muñoz-Repiso A, Tejedor Tejedor FJ. Percepción de los estudiantes sobre el valor de las TIC en sus estrategias de aprendizaje y su relación con el rendimiento. Educación XXI. 2017;20(2):137-59. DOI: http://doi.org/10.5944/educxx1.1903523.

24. Alrasheedi M, Capretz L, Raza A. Management's perspective on critical success factors affecting mobie learning in higher education institutions. An empirical study. Journal of education computing research. 2016;54(2):253-74. DOI: http://doi.org/10.1177/073563311562038724.

25. Paramio G, Delgado C, de Casas P. Revisión teórica sobre el uso de las TIC y el Smartphone en la docencia universitaria. En: De Casas P, Paramio G, Castro A, editors. Educación y comunicación mediada por las tecnologías: tendencias y retos de investigación. Sevilla: Egregius; 2018. p. 91-112.