International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A Qualitative Study of Saudi Female Programming Lecturers' Attitudes towards Mobile Learning and Teaching Approaches

  • Alanazi, Afrah (Department of Computer Science and Information Technology, La Trobe University) ;
  • Li, Alice (Department of Management, Sport and Tourism, La Trobe University) ;
  • Soh, Ben (Department of Computer Science and Information Technology, La Trobe University)
  • Received : 2022.08.05
  • Published : 2022.08.30
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Abstract

In Saudi Arabia, female students tend to struggle with the basics of computer programming, especially coding. To better understand why female students sometimes perform poorly in this discipline, this qualitative study aims to obtain the views of female computer programming teachers at a Saudi university on using mobile learning (m-learning) methods in computer programming lectures. Ten teachers from the all-female Aljouf University were interviewed to assess their perceptions of m-learning, in particular, the usefulness of ViLLE visualisation software. Data were analysed using thematic analysis. Most interview responses about m-learning and ViLLE were positive, although there were some notable negative responses. The Saudi culture-related responses were evenly divided between positive and negative, reflecting the culture's limitations.

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References

  1. D. Frohberg, C. Goth, G. Schwabe. Mobile learning projects - A critical analysis of the state of the art. Journal of Computer Assisted Learning, 2009, 25(4): 307-331. https://doi.org/10.1111/j.1365-2729.2009.00315.x
  2. J. Traxler. Defining, discussing and evaluating mobile learning: The moving finger writes and having writ... The International Review of Research in Open and Distance Learning, 2007, 8(2). http://www.irrodl.org/index.php/irrodl/article/viewArticle/346
  3. L. Rajasingham. New challenges facing universities in the internet-driven global environment. European Journal of Open, Distance and E-learning, 2011, 1. http://www.eurodl.org/index.php?p=archives&year=2011&halfyear=1
  4. Y. Tai, Y. L. Ting. Adoption of mobile technology for language learning: Teacher attitudes and challenges. JALT CALL Journal, 2011, 7(1): 3-18. https://doi.org/10.29140/jaltcall.v7n1.105
  5. T. Teo. Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 2009, 52(2): 302-312. http://dx.doi.org/10.1016/j.compedu.2008.08.006
  6. S . Alkhalaf, M. Amasha, A. Al-Jarallah. Using m-learning as an effective device in teaching and learning in higher education in Saudi Arabia. International Journal of Information and Education Technology, 2017, 7(6): 411-416. http://www.ijiet.org/vol7/903-T205.pdf https://doi.org/10.18178/ijiet.2017.7.6.903
  7. L. A. K. Alfarani. Exploring the influences on faculty members' adoption of mobile learning at King Abdulaziz University, Saudi Arabia (unpublished PhD thesis). University of Leeds, 2016.
  8. S. Alotaibi, B. Elnaim. Challenges of applying mobile learning in teaching mathematical courses in Saudi Arabian universities. Journal of Xi'an University of Architecture & Technology, 2020, 12(6). https://xajzkjdx.cn/cigallery/190-june2020.pdf
  9. S. M. Almutairy, T. Davies, Y. Dimitriadi. The readiness of applying m-learning among Saudi Arabian students in higher education. International Journal of Interactive Mobile Technologies (IJIM), 2015, 9(3): 33-36. https://doi.org/10.3991/ijim.v9i3.4423
  10. A. B. Nassuora. Students' acceptance of mobile learning for higher education in Saudi Arabia. International Journal of Learning Management Systems, 2013, 1(1). http://naturalspublishing.com/files/published/5z8b9f97ju9k98.pdf
  11. B.Weaver, L. Nilson. Laptops in class: what are they good for? What can you do with them? New Directions for Teaching and Learning, 2005, 101: 3-13.
  12. C. Wurst, C. Smarkola, M. Gaffney. Ubiquitous laptop usage in higher education: effects on student achievement, student satisfaction, and constructivist measures in honors and traditional classrooms. Computers and Education, 2008, 51(4): 1766-1783. https://doi.org/10.1016/j.compedu.2008.05.006
  13. S. Carlson. Can grand theft auto inspire professors? The Chronicle of Higher Education, 2003, 49(49). http://chronicle.com/article/Can-Grand-TheftAutoInspire/26313
  14. M. West. Mobile learning for teachers: Global themes. UNESCO, 2012. https://unesdoc.unesco.org/ark:/48223/pf0000216452
  15. J. Wishart. Use of mobile technology for teacher training. In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and training (pp. 265-278). Athabasca: AU Press, 2009. http://www.academia.edu/2808648/Use_of_mobile_technology_for_teacher_training
  16. Saudi Arabia. Vision 2030, 2016. https://vision2030.gov.sa/en
  17. S. J. Tracy. Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. Chichester: Wiley-Blackwell, 2013.
  18. C. Willig. Introducing qualitative research in psychology. Maidenhead, UK: McGrawHill Education, 2013.
  19. A. W. Chickering, Z. F. Gamson. Seven principles for good practice in education. AAHE Bulletin, 1987, 39(4): 3-7. https://files.eric.ed.gov/fulltext/ED282491.pdf
  20. F. D. Davis, R. P. Bagozzi, P. R. Warshaw. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 1989, 35(8): 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  21. I Ajzen. The theory of planned behaviour. Organisational Behaviour and Human Decision Processes, 1991, 50(2): 179-211. https://www.sciencedirect.com/science/article/abs/pii/074959789190020T?via%3Dihub https://doi.org/10.1016/0749-5978(91)90020-T
  22. R. Raja, P. Nagasubramani. Impact of modern technology in education. Journal of Applied and Advanced Research, 2018, 3(1): 33-35.
  23. S. S. Oyelere. Design and development of a mobile learning system for computer science education in nigerian higher education context. Ph.D. dissertation, ItaSuomen yliopisto, 2018.
  24. C. Evans. The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 2008, 50(2): 491-498. https://doi.org/10.1016/j.compedu.2007.09.016
  25. M. A. Camilleri, A. C. Camilleri. The students' readiness to engage with mobile learning apps. Interactive Technology and Smart Education, 2019.
  26. S. Kift, K. Moody. Harnessing assessment and feedback in the first year to support learning success, engagement and retention. in ATN Assessment Conference 2009: Assessment in Different Dimensions. Learning and Teaching Unit, RMIT University, 2009, pp. 1-12.
  27. B. Klimova. Impact of mobile learning on students' achievement results. Education Sciences, 2019, 9(2): 90. https://doi.org/10.3390/educsci9020090
  28. B. M. Ada. Using design-based research to develop a mobile learning framework for assessment feedback. Research and Practice in Technology Enhanced Learning, 2018, 13(1): 1-22. https://doi.org/10.1186/s41039-018-0068-x
  29. R. Raitman, N. Augar, W. Zhou. Employing wikis for online collaboration in the e-learning environment: Case study. in Third International Conference on Information Technology and Applications (ICITA'05), vol. 2. IEEE, 2005, pp. 142-146.
  30. J. Y. Jung, K. Kim, D. Shin, J. Park. Flowwiki: A wiki based platform for ad hoc collaborative workflows. Knowledge-Based Systems, 2011, 24(1): 154-165. https://doi.org/10.1016/j.knosys.2010.07.015
  31. M. J. Laakso, E. Kaila, T. Rajala. Ville-collaborative education tool: Designing and utilizing an exercise-based learning environment. Education and Information Technologies, 2018, 23(4): 1655-1676. https://doi.org/10.1007/s10639-017-9659-1
  32. N. Bendary, I. Al-Sahouly. Exploring the extension of unified theory of acceptance and use of technology, utaut2, factors effect on perceived usefulness and ease of use on mobile commerce in Egypt, 2018.
  33. Y. Sun, F. Gao. An investigation of the influence of intrinsic motivation on students' intention to use mobile devices in language learning. Educational Technology Research and Development, 2020, 68(3): 1181-1198. https://doi.org/10.1007/s11423-019-09733-9
  34. J. Cheon, S. Lee, S. M. Crooks, J. Song. An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 2012, 59(3): 1054-1064. https://doi.org/10.1016/j.compedu.2012.04.015
  35. M. A. Almaiah, M. M. Alamri, W. M. Al-Rahmi. Analysis of the effect of different factors on the development of mobile learning applications at different stages of usage. IEEE Access, 2019, 8: 16139-16154. https://doi.org/10.1109/access.2019.2963333
  36. S. Patel. A literature review on tools for learning data structures. University of Cape Town, 2014.
  37. M. A. Almarwani. ML for EFL: Rationale for mobile learning. Proceedings of the International Conference ICT for Language Learning. Florence, Italy, 2011.
  38. S. Al-Shehri. An outlook on future mobile learning in Saudi Arabia. QScience Proceedings, 2013(3), 9.