Research Article

Technological and Operational Mobile Learning Readiness of Secondary Teachers

Alvin Odon Insorio 1 2 *
More Detail
1 College of Graduate Studies and Teacher Education Research-Philippine Normal University, PHILIPPINES2 San Pedro College of Business Administration, PHILIPPINES* Corresponding Author
International Journal of Pedagogical Development and Lifelong Learning, 2(1), 2021, ep2103, https://doi.org/10.30935/ijpdll/9362
OPEN ACCESS   2071 Views   1649 Downloads
Download Full Text (PDF)

ABSTRACT

Mobile learning is one of the novel directions in delivering the lesson due to the interest of the students towards mobile devices. Before it must be implemented in basic education, the readiness of internal stakeholders must be established first especially the teachers because they act as a middle component between the curriculum and the learners. This study focused on the technological and operational mobile learning readiness of secondary teachers, particularly English, Science, and Mathematics selected using stratified sampling. This was a descriptive design where the survey questionnaire was the research tool for collecting data. It was found out that secondary teachers were much ready in terms of accessibility and affordability of mobile learning. In terms of operational skills, secondary teachers were skilled in operating mobile devices. They were very much ready in reading documents and using mobile as calculators. They believed that mobile learning has a direct effect on learning and they were looking forward to immersing in mobile learning. However, they much need training and support from the institution both help desk and online.

CITATION (APA)

Insorio, A. O. (2021). Technological and Operational Mobile Learning Readiness of Secondary Teachers. International Journal of Pedagogical Development and Lifelong Learning, 2(1), ep2103. https://doi.org/10.30935/ijpdll/9362

REFERENCES

  1. Abas, Z. W., Peng, C. L., and Mansor, N. (2009). A study on learner readiness for mobile learning at Open University Malaysia. Paper presented at the IADIS International Conference Mobile Learning. Barcelona, 26-28 February 2009.
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
  3. Andaleeb, A. A., Idrus, R. M., Ismail, I., & Mokaram, A. K. (2010). Technology readiness index (TRI) among USM distance education students according to age. World Academy of Science, Engineering and Technology, 39, 1039-1042. Retrieved from www.citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.3491&re=rep1&type=pdf
  4. Armitage, C., & Conner, M. (2010). Efficacy of the theory of planned behavior: A meta- analytic review. British Journal of Social Psychology. 40(4), 471-499. https://doi.org/10.1348/014466601164939
  5. Attewell, J., Savill-Smith, C., & Douch, R. (2009). The impact of mobile learning: examining what it means for teaching and learning. London: Newnorth Print Ltd.
  6. Barker, A., & Krull, G., & Mallinson, B. (2009). A proposed theoretical model for m-learning adoption in developing countries. In mLearn 2005 - 4th World Conference on mLearning Cape Town.
  7. Basole, R., & Rouse, W. B. (2007). Mobile enterprise readiness and transformation. In: Encyclopedia of Mobile Computing and Commerce. Hershey, PA: Idea Group Inc. IGI. https://doi.org/10.4018/978-1-59904-002-8.ch079
  8. Calmorin, L. P. (2010). Research and Statistics with Computer. Mandaluyong City: National Bookstore.
  9. Capalihan, J., & Pariñas, T. (2017). Mathematics teachers’ technological and operational readiness for mobile learning. Philippine Normal University.
  10. Cheng, K., & Tsai, C. (2011). An investigation of Taiwan University students’ perceptions of online academic help-seeking, and their web-based learning self-efficacy. Internet and Higher Education, 14(3), 150-157 https://doi.org/10.1016/j.iheduc.2011.04.002
  11. Corbeil, J., & Corbeil, M. (2011). Are we ready for mobile learning now? 2007 Mobile Learning Predictions Revisited. Issues in Information Systems. Retrieved from http://iacis.org/iis/2011/142-152-AL2011-1680.pdf
  12. Corlett, D., Sharples, M., Bull, S., & Chan, T. (2005). Evaluation of a mobile learning organizer for university students. Journal of Computer Assisted Learning, 21(1), 162-170. https://doi.org/10.1111/j.1365-2729.2005.00124.x
  13. Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of mobile learning. Florence, KY: Routledge. Retrieved from https://www.academia.edu/5601076/A_historical_overview_of_mobile_learning_Toward_learner-centered_education
  14. Cruz, I. (2015). Technology in K to 12. The Philippine Star. Retrieved from http://www.philstar.com/education-and-home/2015/technology-k-12
  15. Faltado, R. E. III. (2016). Practical Research 2: Quantitative Research. Quezon City, Philippines: Lorimar Publishing, Inc.
  16. Fesser, J. (2013). MLearning is not Elearning on a mobile device. Retrieved from http://floatlearning.com/2013/05/mlearning-is-not-elearning-on-a-mobile-device-part-deux/
  17. Ford, M., & Batchelor, J. (2007). From zero to hero-is the mobile phone a viable learning tool for Africa? Paper presented at the 3rd International Conference on Social and Organizational Informatics and Cybernetics Orlando, Florida, USA, 12-15 July 2007.
  18. Guy, R. (2009). The Evolution of Mobile Teaching and Learning. Santa Rosa. California: Informing Science Press.
  19. Hagger, M. S., & Chatzisarantis, N. L. D. (2005). First- and higher- order models of attitudes, normative influence, and perceived behavioural control in the theory of planned behaviour. British Journal of Social Psychology, 44, 513-535. https://doi.org/10.1348/014466604X16219
  20. Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country. The International Review of Research in Open and Distance Learning, 13(3), 147-164. https://doi.org/10.19173/irrodl.v13i3.1152
  21. Kukulska-Hulme, A. (2007). Mobile Usability in Educational Contexts: What have we learned? International Review of Research in Open and Distance Learning, 8(2), 1-16. https://doi.org/10.19173/irrodl.v8i2.356
  22. Kuutti, K. (2015). Activity Theory as a potential framework for human-computer interaction research. In Context and consciousness: activity theory and human-computer interaction (pp. 17-44). https://doi.org/10.7551/mitpress/2137.003.0006
  23. Lawrence, E., Bachfischer, A., Dyson, L. E., & Litchfield, A. (2008). Mobile learning and student perspectives: An Reality check! Paper presented at the 7th International Conference on Mobile Business, Barcelona, Spain. https://doi.org/10.1109/ICMB.2008.33
  24. Liu, X. (2009). Applied research on mobile learning in foreign language learning. In: Proceedings of Second International Conference on Education Technology and Training (pp. 309-312). New York, IEEE Press. https://doi.org/10.1109/ETT.2009.35
  25. MacCallum, K., Jeffrey, L., & Kinshuk. (2014). Factors impacting teachers’ adoption of mobile learning. Journal of Information Technology, 13, 141-162. https://doi.org/10.28945/1970
  26. Marcial, D. (2014). Teacher education perceptions of a proposed mobile classroom manager. The IAFOR Journal of Education Technologies & Education Special Edition, 3(SE), 13-29. https://doi.org/10.22492/ije.3.se.01
  27. Mohammed, Y. (2015). Science Teachers’ Attitudes Towards Using ICT and Mobile Learning Technologies in Malaysian Schools. European Journal of Interdisciplinary Studies, 3(1), 187-196. https://doi.org/10.26417/ejis.v3i1.p187-196
  28. Murphy, E., & Rodriguez-Manzanares, M. A. (2008). Using activity theory and its principle of contradictions to guide research in educational technology. Australasian Journal of Educational Technology, 24(4), 442-457. https://doi.org/10.14742/ajet.1203
  29. Naicker N. (2013). The technology and operational readiness of students for mobile learning at a South African higher education institution. Retrieved from http://uri.unisa.ac.za/bitstream/handle/dissertation-naicker.pdf
  30. Naicker, N. K., & Van der Merwe, T. M. (2012). Mobile learning in higher education: A study of the technology readiness of Students at a South African Higher Education Institution. Paper presented at the 14th Annual Conference on World Wide Web Applications. Durban, 7-10 November 2012.
  31. Naismith, L., & Corlett, D. (2006). Reflections on success: A Retrospective of the Mlearn Conference Series 2002-2005. mLearn 2006: Across generations and cultures, 2006, Banff, Canada. 29 p. ffhal-00197366f
  32. Naismith, L., Lonsdale, P., Vavoula, G., & Sharples, M. (2004). Mobile technologies and learning. Retrieved January 3, 2018, from http://archive.futurelab.org.uk/resources/publications-reports-articles/literature-reviews/Literature-Review203
  33. O’Malley, C., Vavoula, G., Glew, J. P., Taylor, J., Sharples, M., & Lefrere, P. (2003). Guidelines for learning/teaching/tutoring in a mobile environment. Retrieved from https://hal.archives-ouvertes.fr/hal-00696244/document
  34. Ozdamli, F. (2012). Pedagogical framework of m-learning. Procedia-Social and Behavioral Sciences, 31, 927-931. https://doi.org/10.1016/j.sbspro.2011.12.171
  35. 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 Distributed Learning, 12(2), 78-102. https://doi.org/10.19173/irrodl.v12i2.791
  36. Samosa. R. (2016). Digging up the principles and concepts of practical research - A quantitative approach. Mandaluyong City: National Bookstore inc.
  37. Stockwell, G. (2008). Investigating learner preparedness for and usage patterns of mobile learning. ReCALL, 20(3), 253-270. https://doi.org/10.1017/S0958344008000232
  38. Teo, T. (2009). Modeling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312. https://doi.org/10.1016/j.compedu.2008.08.006
  39. Trifonova, A., Georgieva, E., and Ronchetti, M. (2006). Determining students’ readiness for mobile learning. In: Proceedings of 5th WSEAS International Conference on E-ACTIVITIES. Venice, Itlay, 20-22 November.
  40. Uden, L. (2007). Activity theory for designing mobile learning. International Journal of Mobile Learning and Organisation, 1(1), 81-102. https://doi.org/10.1504/IJMLO.2007.011190
  41. West, M. (2012). Mobile learning for teachers global themes, Paris, France, United Nations Educational, Scientific and Cultural Organization (UNESCO). Retrieved from http://unesdoc.unesco.org/images/0021/002164/216452e.pdf
  42. Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Tane, S. B., Duhf, H. B. & Choolani, M. (2012). An exploratory study of aging women’s perception on access to health informatics via a mobile phone-based intervention. International Journal of Medical Informatics, 81(9), 637-648. https://doi.org/10.1016/j.ijmedinf.2012.04.008
  43. Yusofa, A. M., Aziz b, K. A., Daniel E. G. S., Lowd, W. Y., & Paule, A. (2011). Teachers’ perception on mobile learning for special needs learner: A Malaysian case study. Paper Presented at the APAC M- Learning Conference, Bandung Indonesia.
  44. Zawacki-Richter, O., Brown, T., and Delport, R. (2009). Mobile learning: From single project status into the mainstream? European Journal of Open, Distance and E-Learning, 1(1). Retrieved from https://www.learntechlib.org/p/52125/
  45. Zulueta, F., & Perez, J. (2010). Methods of research, thesis writing and applied statistics. Mandaluyong City: National Bookstore Inc.