Skip to main content

RETRACTED CHAPTER: Designing a Mobile Applications Curriculum: Overview

  • Reference work entry
  • First Online:
  • 2834 Accesses

Abstract

As technology transforms higher education, changing the way that people conduct business, communicate, and learn, schools, colleges, and universities must accommodate and transform how curriculum is delivered and what programs should be delivered.

In years past, reformed conceptions of teaching, learning, and education, as well as new practices, policies, and organizational settings, for teacher learning, have been introduced by educational researchers and reformers. Reviewing these new concepts and practices have transformed learning for teachers, research groups, collaboration, and higher learning. Collaborative partnerships and professional communities in higher learning have taught us that the organizational conditions are essential to the development of instructional support and design of cutting-edge programs to align with current technologies.

As technology changes the way people communicate, conduct business, and learn, colleges and universities across the country strive to provide engaging, current, and individualized learning environments using mobile applications that can be utilized on mobile devices such as tablets, iPhone, and Android and wearable technology to support collaborative education and distance learning and support the Internet of Everything. With these devices in the hands of students, faculty must provide education for a growing and diverse population of anytime, anywhere access to educational resources and applications. As the managing of education in a changing society is increasing pressure on organizations, colleges, and universities to provide and accommodate network access in a secure environment, there is an urgent need for skilled mobile technologist to provide the support, design, and security needed to support current and emerging applications on mobile devices. Students must also learn to design mobile applications for mobile learning and wearable technology. Students must also be skilled at providing secure coding on these devices.

The growing use of mobile, smart devices in the consumer market has also forced the software engineering community to quickly adapt development approaches of mobile applications. The combination of computing power, access to handheld devices, and ease of application transferable to market has made mobile devices the new computing platform for businesses, education, and independent developers. However, the growth of this new computing platform has outpaced the development of mobile applications. What is mobile technology? It is impossible to attribute one fixed meaning to the concepts of mobile learning. To fully understand this concept, it is critical to consider the relationships between each of the words used to describe mobile learning. The use of this foundation to understand mobile learning presents a vast challenge because there are many words and terms, which have been used to define and explain mobile learning as a miracle in the design of mobile application curriculum in education. Is there a need for mobile application curriculum? This chapter gives an overview of the need for mobile curriculum in education and explores the rationale for implementing mobile applications technology curriculum and examines what content is suitable for a mobile applications curriculum.

An erratum to this contribution can be found at http://dx.doi.org/10.1007/978-3-642-54146-9_90

The Editor-in-Chief has decided to retract this entry from the Handbook of Mobile Learning and Teaching (DOI 10.1007/978-3-642-54146-9). Upon investigation carried out according to the Committee on Publication Ethics guidelines, it has been found that substantial parts were duplicated from the following entry:

Patten, K.P., and M.A. Harris. 2013. The need to address mobile device security in the higher education IT curriculum. Journal of Information Systems Education 24(1):41–52.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   449.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Alexander, B. 2004. Going nomadic: Mobile learning in higher education. Educause Review 39(5): 28–35.

    Google Scholar 

  • Allen, S. 2010. Pro smartphone cross-platform development: iPhone, blackberry, windows mobile, and android development and distribution, 1st ed. New York: Apress.

    Book  Google Scholar 

  • Alley, M. 2009. Mobile learning. Alexandria: AU Press.

    Google Scholar 

  • Ally, M. 2005. Using learning theories to design instruction for mobile learning devices. Mobile learning anytime everywhere. London: Learning and Skills Development Agency.

    Google Scholar 

  • Attewell, J., and C. Savill-Smith. 2005. Mobile learning anytime everywhere. London: Learning and Skills Development Agency.

    Google Scholar 

  • Balagtas-Fernandez, F., J. Forrai, and H. Hussmann. 2009. Evaluation of user interface design and input methods for applications on mobile touch screen devices. Human-Computer Interaction 5726: 243–246.

    Google Scholar 

  • Banks, K. 2008. Mobile learning in developing countries: Present realities and future possibilities. In A flexible mobile education system approach, ed., Hirtz, S., and D.M. Baloglu. 2007. TOJET: The Turkish Online Journal of Educational Technology 6(4). Retrieved from http://search.proquest.com.proxy.davenport.edu/docview/1288361327?accountid=40195

  • Beale, R. 2007. How to enhance the experience without interfering with it. In Big issue in mobile learning: A report of a new workshop by the kaleidoscope network of excellence mobile learning initiative, ed. M. Sharples, 12–16. London: Learning Science and Research Institution, University of Nottingham.

    Google Scholar 

  • Bredl, K., and W. Bösche. 2013. Serious games and virtual worlds in education, professional development, and healthcare. Hershey: IGI Global.

    Book  Google Scholar 

  • Cheon, J., et al. 2012. An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education 59(3): 1054–1064.

    Article  Google Scholar 

  • Computer Society. 2013. Curriculum guidelines for undergraduate degree programs in computer science. The American Computing Machinery and IEE Computer Society. doi:10.1145/2534860. http://www.acm.org/education/CS2013-final-report.pdf

  • Cumming, T., et al. 2013. Aligning iPad applications with evidence-based practices in inclusive and special education. In Pedagogical applications and social effects of mobile technology integration, ed. J. Keengwe, 55–78. Hershey: Information Science Reference.

    Chapter  Google Scholar 

  • Dey, J., K. Anind, and J. Hakkila. 2008. Context-awareness and mobile devices.

    Google Scholar 

  • Fling, B. 2009. Mobile design and development. Beijing: O’Reilly.

    Google Scholar 

  • Fraga, L.M. 2012. Mobile learning in higher education. Ph.D., The University of Texas, San Antonio.

    Google Scholar 

  • Gong, J., and P. Tarasewich. 2004. Guidelines for handheld mobile device interface design. In Proceedings of DSI 2004 annual meeting, 3751–3756.

    Google Scholar 

  • Harper, D. (ed.). 2008. Education for a digital world: Advice, guidelines, and effective practice from around the globe, 51–56. Vancouver: Commonwealth of Learning.

    Google Scholar 

  • Hofer, T., W. Schwinger, M. Pichler, G. Leonhartsberger, J. Altmann, and W. Retschitzegger. 2003. Context -awareness on mobile devices – The hydrogen approach. In 36th annual Hawaii international conference on system sciences, 2003. Proceedings of the, 2003. The Joint Task Force on Computing Curricula Association for Computing Machinery (ACM) IEEE.

    Google Scholar 

  • Holotescu, C., and G. Grosseck. 2011. M3-learning – Exploring mobile multimedia microblogging learning. World Journal on Educational Technology 3(3): 168–176.

    Google Scholar 

  • Hsu, C.-K., et al. 2013. A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Computers & Education 63: 327–336.

    Article  Google Scholar 

  • Huang, Y.-M., Y.-L. Jeng, and T.-C. Huang. 2009. An educational mobile blogging system for supporting collaborative.

    Google Scholar 

  • Hwang, G.-J., and H.-F. Chang. 2011. A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education 56(4): 1023–1031.

    Article  Google Scholar 

  • Kennedy, M.J., et al. 2013. Improving teacher candidates’ knowledge of phonological awareness: A multimedia approach. Computers & Education 64: 42–51.

    Article  Google Scholar 

  • Kim, P., T. Miranda, and C. Olaciregui. 2008. Pocket school: Exploring mobile technology as a sustainable literacy education option for underserved indigenous children in Latin America. International Journal of Educational Development 28(4): 435–445.

    Article  Google Scholar 

  • Kim, P., T. Hagashi, L. Carillo, I. Gonzales, T. Makany, B. Lee, and A. Gàrate. 2011. Socioeconomic strata, mobile technology, and education: A comparative analysis. Educational Technology Research and Development 59(4): 465–486. doi:10.1007/s11423-010-9172-3.

    Article  Google Scholar 

  • Klebanov, P.K., J. Brooks-Gunn, and G.J. Duncan. 1994. Does neighborhood and family poverty affect mothers’ parenting, mental health, and social support? Journal of Marriage and the Family 56: 441–455.

    Article  Google Scholar 

  • Kolb, D. 1984. Experiential learning. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Kuhn, M., and S. Stahl. 2000. Fluency: A review of developmental and remedial practices. Ann Arbor: Center for the Improvement of Early Reading Acquisition, University of Michigan.

    Google Scholar 

  • Kulik, J., R. Bangert, and G. Williams. 1983. Effects of computer-based teaching on secondary school students. Journal of Educational Psychology 75: 19–26.

    Article  Google Scholar 

  • Lea, M.R., and K. Nicholl (eds.). 2002. Distributed learning: Social and cultural approaches to practice. London: Routledge Falmer.

    Google Scholar 

  • Lieberman, A. 2000. Networks as learning communities. Journal of Teacher Education 51(3) May/June; Learning. Educational Technology & Society 12(2): 163–175.

    Google Scholar 

  • McCombs, S.W. 2010. Mobile learning: An analysis of student preferences and perceptions surrounding podcasting. Ed.D., University of Houston.

    Google Scholar 

  • McNaughton, S., G. Phillips, and S. MacDonald. 2003. Profiling teaching and learning needs in beginning literacy instruction: The case of children in “low decile” schools in New Zealand. Journal of Literacy Research 35: 703–770.

    Article  Google Scholar 

  • Mercy, J.A., and L.C. Steelman. 1982. Familial influence on the intellectual attainment of children. American Sociological Review 47: 532–542.

    Article  Google Scholar 

  • Mishra, S.K. 2013. Quality education for children, youth, and adults through mobile learning. In Pedagogical applications and social effects of mobile technology integration, ed. J. Keengwe, 225–237. Hershey: Information Science Reference.

    Chapter  Google Scholar 

  • Mobile Application Platforms and Operating Systems. Informa UK. Computer Database. Mobile App Security+. 2014. www.certifiction.comptia.org/mobile_app_security. Retrieved 24 Aug 2014.

  • Nyíri, K. 2002. Towards a philosophy of M-learning. In Proceedings IEEE international workshop on wireless and mobile technologies in education, 121–124, 29–30 Aug 2002.

    Google Scholar 

  • Oblinger, D., and L.J. Oblinger. 2005. Educating the net generation. Boulder: EDUCAUSE.

    Google Scholar 

  • OECD. 2006a. Are students ready for a technology-rich world? What PISA studies tell us. Paris: OECD.

    Book  Google Scholar 

  • OECD. 2006b. Starting strong II. Early childhood education and care. Paris: OECD.

    Google Scholar 

  • Parsons, D., and H. Ryu. 2006. A framework for ssessing the quality of mobile learning. In Learning and teaching issues in software quality. Proceedings of the 11th international conference for process improvement, research and education (INSPIRE), ed. Dawson, R., E. Georgiadou, P. Lincar, M. Ross, and G. Staples, 17–27. Southampton Solent University.

    Google Scholar 

  • Patten, K.P., and M.A. Harris. 2013. The need to address mobile device security in the higher education IT curriculum. Journal of Information Systems Education 24(1):41–52. Retrieved from http://search.proquest.com.proxy.davenport.edu/docview/1438693253?accountid=40195

  • Pineiro, R.C. 2009. Developing the U.S.-Mexico border region for a prosperous and secure relationship: Mexican border cities and migration flows. Rice University, Baker Institute for Public Policy.

    Google Scholar 

  • Qulasvirta, A., M. Wahlström, and K. Anders Ericsson. 2008. http://www.gartner.com/it/page.jsp?id=703807. Accessed 21 Oct 2011.

  • Rennie, F., and T. Morrison. 2012. e-Learning and social networking handbook: Resources for higher education. New York: Routledge.

    Google Scholar 

  • Rhine, L. 2013. From the schoolhouse to the statehouse: Building a statewide model for technology education. Technology and Engineering Teacher 73(1): 10–13. Retrieved from http://search.proquest.com.proxy.davenport.edu/docview/1435636911?accountid=40195

  • Roman, G.C., G.P. Picco, and A.L. Murphy. 2000. Software engineering for mobility: A roadmap. In Proceedings of the conference on the future of software engineering, 241–258.

    Google Scholar 

  • Roschelle, J., and R., Pea. 2002. A walk on the WILD side: How wireless handhelds may change CSCL. In Proceedings of CSCL 2002, 51–60. Boulder.

    Google Scholar 

  • Shneiderman, B. 1987. Designing the user interface. College Park: University of Maryland.

    Google Scholar 

  • Suryaningrum, D.H., E., Wuryani, and I.Y., Purbasari. 2014. The effectiveness comparison between mobile based learning technology with face-to-face as a teaching method of accounting information system. Paper presented at the, 9(1): 570–576. Retrieved from http://search.proquest.com.proxy.davenport.edu/docview/1503677932?accountid=40195

  • Virtualized Desktops Deliver Mobile Learning 814117. Baseline 17 Jan 2012. Computer Database. Web. 13 Sept 2014.

    Google Scholar 

  • Wasserman, A.I. 2010. Software engineering issues for mobile application development. In Proceedings of the FSE/SDP workshop on future of software engineering research – FoSER ’10, 397–400.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deanne Cranford-Wesley .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this entry

Cite this entry

Cranford-Wesley, D. (2015). RETRACTED CHAPTER: Designing a Mobile Applications Curriculum: Overview. In: Zhang, Y. (eds) Handbook of Mobile Teaching and Learning. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54146-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54146-9_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54145-2

  • Online ISBN: 978-3-642-54146-9

  • eBook Packages: Humanities, Social Sciences and Law

Publish with us

Policies and ethics