An Academic Report on Mobile Application Development: Creating an Extra Field Practice Platform for Young Players



Abstract Views
295

Downloads
209

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Nov 30, 2016
Published Jul 27, 2018
10.24018/ejeng.2016.1.6.209

Abstract viewed = 295 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

In this study, we deploy the impact of Education, Social Media, Motivation, and Virtual Reality on Mobile application development. The mission of mobile application development studies is to advance the understanding of this technology in order to use it in favor of children with learning difficulties, young athletes seeking extra field coaching, and parents concerned with their children development. The primary goal of this study was to investigate the user’s habits, motivations and technical possibilities in order to develop mobile learning and coaching activities in the e-environment process. The Smart Sport app is dedicated to provide these target market with the proper tool of electronic coaching.

This paper aims to review 70 researchers and their articles about how the above assets affect directly the mobile application design. By doing so, it re-investigate the relationship between existing demand opportunities and the future of the application technology, considering that the mobile applications environment has a multitude of particularities generated by the complex system of devices, hardware, and software profiles and categories of users. Using the grounded theory, a model was developed and evaluated based on how Motivation, Education, Social Media Network, and Virtual Reality affects the development of mobile applications using data from JSTOR and Academic Search Premier database.

Keywords: Education Social Media Motivation Virtual Reality Learning Electronic coaching Opportunities Demand Software/Devices e-Environment Performance Innovation

Downloads

Download data is not yet available.

References

  1. Gebauer, J. and M.J. Shaw, Success Factors and Impacts of Mobile Business Applications: Results from a Mobile e-Procurement Study. International Journal of Electronic Commerce, 2004. 8(3): p. 19-41.
     Google Scholar
  2. Pocatilu, P., et al., An aggregate indicator for mobile application quality assessment. Turkish Journal of Electrical Engineering & Computer Sciences, 2015. 23(4): p. 956-973.
     Google Scholar
  3. Gatautis, R. and E. Vaiciukynaite, A Taxonomy of Mobile Application Elements: a Literature Review. Proceedings of the Multidisciplinary Academic Conference, 2015: p. 349-349.
     Google Scholar
  4. Jayaram, D., A.K. Manrai, and L.A. Manrai, Effective use of marketing technology in Eastern Europe: Web analytics, social media, customer analytics, digital campaigns and mobile applications. Uso eficaz de la tecnología de marketing en Europa del Este: analíticas de web, medios sociales, analítica de clientes, campañas digitales y aplicaciones móviles., 2015. 20(39): p. 118-132.
     Google Scholar
  5. Charland, A. and B. Leroux, Mobile Application Development: Web vs. Native. Communications of the ACM, 2011. 54(5): p. 49-53.
     Google Scholar
  6. King, A.C., et al., Effects of Three Motivationally Targeted Mobile Device Applications on Initial Physical Activity and Sedentary Behavior Change in Midlife and Older Adults: A Randomized Trial. PLoS ONE, 2016. 11(6): p. 1-16.
     Google Scholar
  7. Agnes, K.-H., Learning Cultures on the Move: Where are we heading? Journal of Educational Technology & Society, 2010. 13(4): p. 4-14.
     Google Scholar
  8. Kang, S.J., J.-P. Ha, and M.E. Hambrick, A Mixed-Method Approach to Exploring the Motives of Sport-Related Mobile Applications Among College Students. Journal of Sport Management, 2015. 29(3): p. 272-290.
     Google Scholar
  9. Hoehle, H. and V. Venkatesh, MOBILE APPLICATION USABILITY: CONCEPTUALIZATION AND INSTRUMENT DEVELOPMENT. MIS Quarterly, 2015. 39(2): p. 435-A12.
     Google Scholar
  10. Majchrzycka, A. and A. Poniszewska-MaraŃDa, Secure development model for mobile applications. Bulletin of the Polish Academy of Sciences: Technical Sciences, 2016. 64(3): p. 495-503.
     Google Scholar
  11. Pelletier, J.-F., et al., No personalization without participation: on the active contribution of psychiatric patients to the development of a mobile application for mental health. BMC Medical Informatics & Decision Making, 2013. 13(1): p. 1-8.
     Google Scholar
  12. Domingo, M.G. and A.B. Garganté, Exploring the use of educational technology in primary education: Teachers' perception of mobile technology learning impacts and applications' use in the classroom. Computers in Human Behavior, 2016. 56: p. 21-28.
     Google Scholar
  13. McBride, N., Actor-Network Theory and the Adoption of Mobile Communications. Geography, 2003. 88(4): p. 266-276.
     Google Scholar
  14. Heather, L.B., et al., Mobile Application for Wildlife Capture–Mark–Recapture Data Collection and Query. Wildlife Society Bulletin (2011-), 2013. 37(4): p. 838-845.
     Google Scholar
  15. Deci, E.L., R. Koestner, and R.M. Ryan, Extrinsic Rewards and Intrinsic Motivation in Education: Reconsidered Once Again. Review of Educational Research, 2001. 71(1): p. 1-27.
     Google Scholar
  16. Nathaniel, B., The Virtues and Vices of Virtual Reality. Design Quarterly, 1993(159): p. 38-44.
     Google Scholar
  17. Harrison, G.W., et al., Remarks on Virtual World and Virtual Reality Experiments. Southern Economic Journal, 2011. 78(1): p. 87-94.
     Google Scholar
  18. Dahan, E. and H. Mendelson, An Extreme-Value Model of Concept Testing. Management Science, 2001. 47(1): p. 102-116.
     Google Scholar
  19. Griffin, A. and J.R. Hauser, The Voice of the Customer. Marketing Science, 1993. 12(1): p. 1-27.
     Google Scholar
  20. Russell, J., et al., The learning computer: low bandwidth tool that bridges digital divide. Journal of Educational Technology & Society, 2007. 10(4): p. 143-155.
     Google Scholar
  21. Yueh-Min, H., H. Wu-Yuin, and C. Kuo-En, Guest Editorial – Innovations in Designing Mobile Learning Applications. Journal of Educational Technology & Society, 2010. 13(3): p. 1-2.
     Google Scholar
  22. LePine, J.A. and A. Wilcox-King, Developing novel theoretical insight from reviews of existing theory and research. Academy of Management Review, 2010. 35(4): p. 506-509.
     Google Scholar
  23. Gable, G.G., Integrating Case Study and Survey Research Methods: An Example in Information Systems. European Journal of Information Systems, 1994. 3(2): p. 112-126.
     Google Scholar
  24. Dyer, G.W.J. and A.L. Wilkins, Better stories, not better constructs, to generate better theory: A rejoinder to Eisenhardt. Academy of Management Review, 1991. 16(3): p. 613-619.
     Google Scholar
  25. Eisenhardt, K.M., Building Theories from case study research. Academy of Management Review, 1989. 14(4): p. 532-550.
     Google Scholar
  26. Jennifer, J.W., N.B. Heidi, and P.R. Michael, Apps for Teaching, Not Just Reviewing. Teaching Children Mathematics, 2015. 21(7): p. 438-441.
     Google Scholar
  27. Liang, T.-P. and C.-P. Wei, Introduction to the Special Issue: Mobile Commerce Applications. International Journal of Electronic Commerce, 2004. 8(3): p. 7-17.
     Google Scholar
  28. Kim, K., et al., Youth-centered design and usage results of the iN Touch mobile self-management program for overweight/obesity. Personal & Ubiquitous Computing, 2015. 19(1): p. 59-68.
     Google Scholar
  29. Evrim, B., A Review of Research on Mobile Learning in Teacher Education. Journal of Educational Technology & Society, 2014. 17(4): p. 17-32.
     Google Scholar
  30. Mylonopoulos, N.A. and G.I. Doukidis, Introduction to the Special Issue: Mobile Business: Technological Pluralism, Social Assimilation, and Growth. International Journal of Electronic Commerce, 2003. 8(1): p. 5-22.
     Google Scholar
  31. Yu-Lin, J., et al., The Add-on Impact of Mobile Applications in Learning Strategies: A Review Study. Journal of Educational Technology & Society, 2010. 13(3): p. 3-11.
     Google Scholar
  32. Li, F.W.B. and R.W.H. Lau, On-Demand E-Learning Content Delivery Over the Internet. International Journal of Distance Education Technologies, 2006. 4(1): p. 46-55.
     Google Scholar
  33. Watson, C., et al., Criticality and the exercise of politeness in online spaces for professional learning. Internet & Higher Education, 2016. 31: p. 43-51.
     Google Scholar
  34. Newton, R. and N. Doonga, Corporate e-learning: Justification for implementation and evaluation of benefits. A study examining the views of training managers and training providers. Education for Information, 2007. 25(2): p. 111-130.
     Google Scholar
  35. DeCoster, E., The Library Quarterly: Information, Community, Policy, 2012. 82(1): p. 101-103.
     Google Scholar
  36. Allen, J.P., The Evolution of New Mobile Applications: A Sociotechnical Perspective. International Journal of Electronic Commerce, 2003. 8(1): p. 23-36.
     Google Scholar
  37. Kavassalis, P., et al., Mobile Permission Marketing: Framing the Market Inquiry. International Journal of Electronic Commerce, 2003. 8(1): p. 55-79.
     Google Scholar
  38. Marcelo, M. and S. Daniel, Anytime, Anywhere Learning Supported by Smart Phones: Experiences and Results from the MUSIS Project. Journal of Educational Technology & Society, 2007. 10(4): p. 62-70.
     Google Scholar
  39. Jonathan, A.O., Z. Paul, and L. Clifford, Advocacy 2.0: An Analysis of How Advocacy Groups in the United States Perceive and Use Social Media as Tools for Facilitating Civic Engagement and Collective Action. Journal of Information Policy, 2012. 2: p. 1-25.
     Google Scholar
  40. Bener, A.B., et al., Empirical Models of Social Learning in a Large, Evolving Network. PLoS ONE, 2016. 11(10): p. 1-20.
     Google Scholar
  41. Ma, W.W.K. and A. Chan, Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment. Computers in Human Behavior, 2014. 39: p. 51-58.
     Google Scholar
  42. Petrucha, J., R. Jurča, and D. Bartoněk, DESIGN OF DATABASE APPLICATIONS IN MOBILE DEVICES WITH OS ANDROID. Proceedings of the International Multidisciplinary Scientific GeoConference SGEM, 2016. 1: p. 173-180.
     Google Scholar
  43. Kremer, M., E. Miguel, and R. Thornton, INCENTIVES TO LEARN. The Review of Economics and Statistics, 2009. 91(3): p. 437-456.
     Google Scholar
  44. Enomoto, K., et al., Dopamine neurons learn to encode the long-term value of multiple future rewards. Proceedings of the National Academy of Sciences of the United States of America, 2011. 108(37): p. 15462-15467.
     Google Scholar
  45. Kowitz, G.T., The Motive to Learn. The Elementary School Journal, 1959. 59(7): p. 380-385.
     Google Scholar
  46. Entwistle, N., Motivation to Learn: Conceptualisations and Practicalities. British Journal of Educational Studies, 1987. 35(2): p. 129-148.
     Google Scholar
  47. Pallak, S.R., et al., School Experience, Reward Characteristics, and Intrinsic Motivation. Child Development, 1982. 53(5): p. 1382-1391.
     Google Scholar
  48. Nikou, S.A. and A.A. Economides, The impact of paper-based, computer-based and mobile-based self-assessment on students' science motivation and achievement. Computers in Human Behavior, 2016. 55: p. 1241-1248.
     Google Scholar
  49. Cleary, T.J., A. Gubi, and M.V. Prescott, Motivation and self-regulation assessments: Professional practices and needs of school psychologists. Psychology in the Schools, 2010. 47(10): p. 985-1002.
     Google Scholar
  50. De La, P., xf, and K. a McCook, The First Virtual Reality. American Libraries, 1993. 24(7): p. 626-628.
     Google Scholar
  51. deLahunta, S., Virtual Reality and Performance. PAJ: A Journal of Performance and Art, 2002. 24(1): p. 105-114.
     Google Scholar
  52. Shannon, S., The Chrome Age: Dawn of Virtual Reality. Leonardo, 1995. 28(5): p. 369-380.
     Google Scholar
  53. Garrido-Iñigo, P. and F. Rodríguez-Moreno, The reality of virtual worlds: pros and cons of their application to foreign language teaching. Interactive Learning Environments, 2015. 23(4): p. 453-470.
     Google Scholar
  54. Segal, R., M. Bhatia, and M. Drapeau, Therapists' Perception of Benefits and Costs of Using Virtual Reality Treatments. CyberPsychology, Behavior & Social Networking, 2011. 14(1/2): p. 29-34.
     Google Scholar
  55. Serge, S.R., et al., The effects of static and adaptive performance feedback in game-based training. Computers in Human Behavior, 2013. 29(3): p. 1150-1158.
     Google Scholar
  56. Panahi, S., J. Watson, and H. Partridge, Social media and physicians: Exploring the benefits and challenges. Health Informatics Journal, 2016. 22(2): p. 99-112.
     Google Scholar
  57. Hung, C.-Y., J.C.-Y. Sun, and P.-T. Yu, The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning. Interactive Learning Environments, 2015. 23(2): p. 172-190.
     Google Scholar


Most read articles by the same author(s)