Personalized System of Instruction and Mobile-Learning Models 2014 and Beyond

The purpose of this study is to analyze the delivery method used in Personalize System of Instruction (PSI). Asynchronous in nature, the PSI model may provide viable alternatives m-learning platforms, while at the same time fulfilling some of the theories of social science research. Learning style types are also presented in this study. A strategic alignment model is measured against the learning style types in efforts to map the feasibility of m-learning in social sciences versus other educational research. In the case of m-learning, stakeholders include but are not limited to curriculum creators, ISPs and those who host mobile sites, streaming content providers, mobile phone users, instructors, educational institutions and mobile phone carriers. Verifying the mobile authenticity of students receiving instruction, and the burden of proof is also presented in this study as it relates to models used in the banking industry. Adobe, ComF5 and AXMEDIS [2] are a few companies that provide full multi-platform support for multiple mobile based distribution channels. Mobile protocol and the development of mobile applications must minimize frustrations experienced by users. Issues and concerns in this area range from screen size and resolution of content, and the balance of reading text versus seeing live streaming video, all the way to screen scrolling and mobile keyboard functionality. The conceptual framework for Platform as a Service and Infrastructure as a Service are presented to access, capture and share pedagogies toward distribution.

[1]  Nikleia Eteokleous,et al.  We need an educationally relevant definition of mobile learning , 2005 .

[2]  Jerry Willis,et al.  World Views, Paradigms, and the Practice of Social Science Research , 2007 .

[3]  John Fulcher,et al.  Mobile Technology Use in Medical Education , 2012, Journal of medical systems.

[4]  Paulo Freire,et al.  Pedagogy of the Oppressed , 2019, Toward a Just World Order.

[5]  Antoine B. Bagula,et al.  An Opencast Mobile learning Framework for Enhancing Learning in Higher Education , 2011 .

[6]  Sara Price,et al.  A scoping exercise to explore the use of Web 2.0 and mobile technologies to support faculty development in postgraduate medical education across LP/LEP networks in London: final report , 2012 .

[7]  N. Mallikharjuna Rao,et al.  Cloud Computing Through Mobile-Learning , 2012, ArXiv.

[8]  M. Schmucker Automating Production of Cross Media Content for Multi-channel Distribution www.AXMEDIS.org , 2005 .

[9]  M. Padmavathamma,et al.  Development of protected endorsement for online banking using mobile phones , 2013, International Conference on Graphic and Image Processing.

[10]  Clayton M. Christensen,et al.  Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns , 2008 .

[11]  Ronald E. Rice,et al.  Technology adaption: the case of a computer-supported inter-organizational virtual team 1 , 2000 .

[12]  Ronald E. Rice,et al.  Technology Adaptation: The Case of a Computer-Supported Inter-Organizational Virtual Team , 2000, MIS Q..

[13]  Kristine Johnson Why Students Don't Write: Educating in the Era of Credentialing: Academically Adrift: Limited Learning on College Campuses , 2013 .

[14]  Ronald E. Goldsmith,et al.  Using the Domain Specific Innovativeness Scale to identify innovative Internet consumers , 2001, Internet Res..

[15]  P. Twining Oversold and underused: computers in the classroom , 2002 .