Analysis of the educational impact of M-Learning and related scientific research

  1. Javier Fombona Cadavieco 1
  2. María Angeles Pascual Sevillano 1
  3. Miguel Pérez Ferra 2
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

Journal:
NAER: Journal of New Approaches in Educational Research

ISSN: 2254-7339

Year of publication: 2020

Volume: 9

Issue: 2

Pages: 167-180

Type: Article

DOI: 10.7821/NAER.2020.7.470 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: NAER: Journal of New Approaches in Educational Research

Abstract

The deep penetration and global impact of mobile devices has led the scientific community to undertake a thorough analysis of the implications of this phenomenon. Researchers need to determine their true real effect and how they can best be used to manage information and build knowledge. This study has examined recent investigations on the subject of mobile learning and carried out a descriptive analysis of a sample of registers indexed on the Web of Science research platform in 2015-16. An exhaustive content analysis has revealed new areas where M-Learning is being implemented, especially in the teaching of foreign languages, the emergence of social interaction methodologies in Secondary Education, evolving forms of collaborative relationships, work with clearly defined student profiles and the use of virtual immersive and innovative spaces in Higher Education. This paper also emphasizes the presence of previously unknown, transcendent problems associated with M-learning, such as the collateral addiction effect, and its interference in the classroom. Finally, our study suggests that teachers could embrace these technological proposals and include them in their strategies. Indeed, it might be necessary to flip the process, so this research could be the start of the generation and design of innovative guidelines to manage these forms and content.

Funding information

Funded by: Ministry of Economy and Competitiveness, Spain Funder Identifier: http://dx.doi.org/10.13039/501100003329 Award: EDU2015-70491-R

Bibliographic References

  • Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102. https:// doi.org/10.1016/j.chb.2015.11.033
  • Alrasheedi, M., Capretz, L. F., & Raza, A. (2016). Management’s Perspective on Critical Success Factors Affecting Mobile Learning in Higher Education Institutions—An Empirical Study. Journal of Educational Computing Research, 54(2), 253–274. https://doi.org/10.1177/ 0735633115620387
  • Amara, S., Macedo, J., Bendella, F., & Santos, A. (2016). Group formation in mobile computer supported collaborative learning contexts: A systematic lit-erature review. Educational Technology & Society, 19(2), 258–273.
  • Ávila, H. (1999). Introduction to Research Methodology. México: Technological Institute Cuauhtémoc.
  • Burden, K., & Hopkins, P. (2016). Barriers and Challenges Facing Pre-Service Teachers use of Mobile Technologies for Teaching and Learning. International Journal of Mobile and Blended Learning, 8(2), 1–20. https://doi.org/10.4018/ijmbl.2016040101
  • Burden, K., & Kearney, M. (2016). Conceptualising authentic Mobile Learning. In D. Churchill, J. Lu, T. K. Chiu, & B. Fox (Eds.),Mobile Learning design: Theories and application (pp. 27–42). Singapore: Springer. https://doi.org/10.1007/978-981-10-0027-0_2
  • Castro, G. G., Dominguez, E. L., Velazquez, Y. H., Matla, M. Y. R., Toledo, C. B. E., & Hernandez, S. E. P. (2016). MobiLearn: Context-Aware Mobile Learning System. IEEE Latin America Transactions, 14(2), 958–964. https://doi.org/10.1109/tla.2016.7437246
  • Chang, Y., Chien, Y. H., Yu, K., Lin, H., & Chen, M. (2016). Students’ innovative environmental perceptions and creative performances in cloud-based M-learning. Computers in Human Behavior, 63, 988–994. https://doi.org/10.1016/j.chb.2016.06.032
  • Chauhan, V. S., Bansal, R., & Ahuja, M. (2015). Comparison of efficacy and tolerance of shortduration open-ended ureteral catheter drainage and tamsulosin administration to indwelling double J stents following ureteroscopic removal of stones. Hong Kong Medical Journal, 21(2), 124–130. https://doi.org/10.12809/hkmj144292
  • Chiu, P.-S., Pu, Y.-H., Kao, C.-C., Wu, T.-T., & Huang, Y.-M. (2018). An authentic learning based evaluation method for mobile learning in Higher Education. Innovations in Education and Teaching International, 55(3), 336–347. https://doi.org/10.1080/14703297.2017.1417147
  • Drysdale, J. S., Graham, C. R., Spring, K. J., &Halverson, L. R. (2013). An analysis of research trends in dissertations and theses studying blended learning. The Internet and Higher Education, 17, 90–100. https://doi.org/10.1016/j.iheduc.2012.11.003
  • Ferrer-Torregrosa, J., Torralba, J., Jimenez, M. A., García, S., & Barcia, J. M. (2015). ARBOOK: Development and Assessment of a Tool Based on Augmented Reality for Anatomy. Journal of Science Education and Technology, 24(1), 119–124. https://doi.org/10.1007/s10956-014-9526 -4
  • Fombona, J., Coto, V., & Caldevilla, D. (2015). Mobile Augmented Reality interaction: an approach to the phenomenon. Informação & Sociedade: Estu-dos, 25(3), 117–129.
  • Furió, D., Juan, M. C., Seguí, I., & Vivó, R. (2015). Mobile learning vs. traditional classroom lessons: a comparative study. Journal of Computer Assisted Learning, 31(3), 189–201. https://doi.org/ 10.1111/jcal.12071
  • Gimhyesuk. (2016). A study on mobile application design for English vocabulary learning. The Journal of Linguistics Science, 78, 67–99. https://doi.org/10.21296/jls.2016.09.78.67
  • Hackett, M., & Proctor, M. (2016). Three-Dimensional Display Technologies for Anatomical Education: A Literature Review. Journal of Science Education and Technology, 25(4), 641–654. https://doi.org/10.1007/s10956-016-9619-3
  • Huang, T., Chen, C., & Chou, Y. (2016). Animating eco-education: To see, feel, and discover in an augmented reality-based experiential learning environment. Computers & Education, 96, 72–82. https://doi.org/10.1016/j.compedu.2016.02.008
  • Kaiiali, M., Ozkaya, A., Altun, H., Haddad, H., & Alier, M. (2016). Designing a Secure Exam Management System (SEMS) for M-Learning Environments. IEEE Transactions on Learning Technologies, 9(3), 258–271. https://doi.org/10.1109/tlt.2016.2524570
  • Karimi, S. (2016). Do learners’ characteristics matter? An exploration of mobile-learning adoption in self-directed learning. Computers in Human Behavior, 63, 769–776. https://doi.org/10 .1016/j.chb.2016.06.014
  • Kearney, M., Burden, K., & Rai, T. (2015). Investigating teachers’ adoption of signature mobile pedagogies. Computers & Education, 80, 48–57. https://doi.org/10.1016/j.compedu.2014.08 .009
  • Kopecky, K., & Szotkowski, R. (2016). Use of mobile touch devices as part of lifelong learning with specific focus on tablets. ICLEL 2015 Conference on Lifelong Learning and Leadership for All (pp. 221–225).
  • Liu, G., Lu, H., & Lai, C. (2016). Towards the construction of a field: The developments and implications of Mobile Assisted Language Learning (MALL). Digital Scholarship in the Humanities, 31(1), 164–180. https://doi.org/10.1093/llc/fqu070
  • Lu, S., & Liu, Y. (2015). Integrating Augmented Reality technology to enhance children’s learning in marine education. Environmental Education Research, 21(4), 525–541. https://doi.org/ 10.1080/13504622.2014.911247
  • Munoz-Cristobal, J. A., Jorrin-Abellan, I. M., Asensio-Perez, J. I., Martinez-Mones, A., Prieto, L. P., & Dimitriadis, Y. (2015). Supporting Teacher Orchestration in Ubiquitous Learning Environments: A Study in Primary Education. IEEE Transactions on Learning Technologies, 8(1), 83–97. https://doi.org/10.1109/tlt.2014.2370634
  • Navarro, C. X., Molina, A., Redondo, M. A., & Juarez-Ramirez, R. (2016). Framework to Evaluate M-Learning Systems: A Technological and Pedagogical Approach. RITA-IEEE, 11(1), 33–40. https://doi.org/10.1109/rita.2016.2518459
  • Olivia-Dumitrina, N., Casanovas, M., & Capdevila, Y. (2019). Academic Writing and the Internet: Cyber-Plagiarism amongst University Students. Journal of New Approaches in Educational Research, 8(2), 112–112. https://doi.org/10.7821/naer.2019.7.407
  • Pejoska, J., Bauters, M., Purma, J., & Leinonen, T. (2016). Social augmented reality: Enhancing context-dependent communication and informal learning at work. British Journal of Educational Technology, 47(3), 474–483. https://doi.org/10.1111/bjet.12442
  • Pérez, A., Pérez-Ferra, M., Fombona, J., González, J., López, R., Sierra, B., & Neira, M. (2019). Evaluación y desarrollo de las competencias comunicativa y digital en estudiantes del grado de maestro. Barcelona: Graó.
  • Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M., & Jovanović, K. (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95, 309–327. https://doi.org/10.1016/j.compedu.2016.02.002
  • Reychav, I., Dunaway, M., & Kobayashi, M. (2015). Understanding mobile technology-fit behaviors outside the classroom. Computers & Education, 87, 142–150. https://doi.org/10.1016/ j.compedu.2015.04.005
  • Rodrigo, L. (2016). The didactic and methodological use of tablets in classrooms of primary and secondary education in Catalonia. Pixel-Bit, 48, 9–25. https://doi.org/10.12795/pixelbit.2016.i48.01
  • Roig-Vila, R., Lorenzo-Lledó, A., & Mengual-Andrés, S. (2019). Utilidad percibida de la realidad aumentada como recurso didáctico en Edu-cación Infantil. Campus virtuales, 8(1), 19–35.
  • Sakr, M., Jewitt, C., & Price, S. (2016). Mobile Experiences of Historical Place: A Multimodal Analysis of Emotional Engagement. Journal of the Learning Sciences, 25(1), 51–92. https:// doi.org/10.1080/10508406.2015.1115761
  • Salcines-Talledo, I., González-Fernández, N., & Briones, E. (2020). The Smartphone as a Pedagogic Tool. Student Profiles as related to its Use and Knowledge. Journal of New Approaches in Educational Research, 9(1), 91–109. https://doi.org/10.7821/naer.2020.1.454
  • Suárez-Guerrero, C., Lloret-Catalá, C., & Mengual-Andrés, S. (2016). Teachers’ perceptions of the digital transformation of the classroom through the use of tablets: A study in spain. Comunicar, 49, 81–89. https://doi.org/10.3916/C49-2016-08
  • Sung, Y., Changb, K., & Liua, T. (2016). The effect of flow experience on English listening and self-directed learning abilities through a listening activity using a smartphone application. Multimedia-Assisted Language Learning, 19(3), 158–177. https://doi.org/10.15702/mall.2016 .19.3.158
  • UNESCO. (2019). Artificial intelligence in education, compendium of promising initiatives: Mobile Learning Week. Paris: Author.
  • Vázquez-Cano, E., Sevillano, M., & Fombona, J. (2016). Analysis of the educa-tional and social use of digital devices in the pan-Hispanic university con-text. Revista De Investigación Educativa, 34(2), 453–469. https://doi.org/10.6018/rie.34.2.224691
  • Weiser, M. (1991). The Computer for the 21st Century. Scientific American, 265(3), 94–104. https:// doi.org/10.1038/scientificamerican0991-94
  • West, M., & Vosloo, S. (2013). The policy guidelines for mobile learning. United Nations Educational, Scientific and Cultural Organization. Paris: UNESCO.
  • Yang, X., Li, X., & Lu, T. (2015). Using mobile phones in college classroom settings: Effects of presentation mode and interest on concentration and achievement. Computers & Education, 88, 292–302. https://doi.org/10.1016/j.compedu.2015.06.007
  • Yousafzai, A., Chang, V., Gani, A., & Noor, R. M. (2016). Multimedia augmented m-learning: Issues, trends and open challenges. International Journal of Information Management, 36(5), 784–792. https://doi.org/10.1016/j.ijinfomgt.2016.05.010