Abstract
This paper reveals around methodology that could be powerful to teach mobile applications in a class by including a decent utilization of innovative technology alongside a system. Appraisal instruments within the cloud were utilized to encourage this sort of methodology toward teaching application development. The new methodology is executed by teaching in the lab with desktops or in the classroom with student’s laptops. It adapted Allan’s dual code Theory. The adequacy of this methodology is obvious through an examination of outcomes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Clark, J.M., Paivio, A.: Dual coding theory and education. Educ. Psychol. Rev. 3(3), 149–170 (1991)
Alduais, A.M.S.: Integration of language learning theories and aids used for language teaching and learning: a psycholinguistic perspective. Integration 2(4) (2012)
Harris, H., Gliksberg, M., Sagi, D.: Generalized perceptual learning in the absence of sensory adaptation. Curr. Biol. 22(19), 1813–1817 (2012)
Oblinger, D.G., Oblinger, J.L.: Educating the net generation, is it age or IT: first steps toward understanding the net generation, pp. 12–13 (2005)
Alabbadi, A.A., Qureshi, R.J.: The proposed methods to improve teaching of software engineering. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 8(7), 13–21 (2016). https://doi.org/10.5815/ijmecs.2016.07.02
Paivio, A.: Imagery and Verbal Processes. Holt, Rinehart & Winston, New York (1971)
Paivio, A.: Mental Representations. Oxford University Press, New York (1986)
Walker, L.: My teacher is an Android: engaging learners through an Android application. In: Williams, G., Statham, P., Brown, N., Cleland, B. (eds.) Changing Demands, Changing Directions. Proceedings Ascilite Hobart 2011, pp. 1270–1274 (2011)
Cohen, R., Wang, T.: GUI Design for Android Apps. Apress.open
UI and UX design. http://colure.co/the-importance-of-ux-and-ui-in-mobile-app-design/
Darwin, I.: Android Cookbook-Problems and Solutions for Android Developers. O’Reilly Media, Sebastopol (2017)
Korhan, O., Ersoy, M.: Usability and functionality factors of the social network site application users from the perspective of uses and gratification theory. Qual. Quant. 50(4), 1799–1816 (2016)
Wu, D., Rosen, D.W., Wang, L., Schaefer, D.: Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation. Comput. Aided Des. 59, 1–14 (2015)
Dinh, T.Q., Tang, J., La, Q.D., Quek, T.Q.: Offloading in mobile edge computing: task allocation and computational frequency scaling. IEEE Trans. Commun. 65(8), 3571–3584 (2017)
Kim, H.K.: Designing of domain modeling for mobile applications development. In: 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, pp. 71–79. Springer, Cham (2018)
Mehrotra, A., Musolesi, M., Hendley, R., Pejovic, V.: Designing content-driven intelligent notification mechanisms for mobile applications. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 813–824. ACM, September 2015
Ali, A., Alrasheedi, M., Ouda, A., Capretz, L.F.: A study of the interface usability issues of mobile learning applications for smart phones from the users perspective (2015). arXiv preprint arXiv:1501.01875
Tran, T.X., Hajisami, A., Pandey, P., Pompili, D.: Collaborative mobile edge computing in 5G networks: new paradigms, scenarios, and challenges (2016). arXiv preprint arXiv:1612.03184
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gobi, R. (2020). An Approach to Introduce Mobile Application Development for Teaching and Learning by Adapting Allan’s Dual Coding Theory. In: Jain, L., Peng, SL., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_41
Download citation
DOI: https://doi.org/10.1007/978-3-030-38501-9_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-38500-2
Online ISBN: 978-3-030-38501-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)