Future Directions in Mobile Learning

The shape of mobile learning (m-learning) depends very much on the complex cultural, social, political, economic and, above all, educational ecologies in which mobile technologies are embedded. Focusing primarily on the developed world, this chapter begins by surveying our contemporary technological context, highlighting new forms of hardware and emerging patterns of usage. It then turns to our contemporary educational context, outlining seven major trends—towards contextualisation, personalisation and diversification of learning; towards student support, engagement and creativity; and towards wider collaboration—which reflect aspects of the broader cultural, social, political and economic landscape. It is suggested that the future of digital learning generally, and m-learning in particular, will take shape at the point where ongoing technological developments intersect with ongoing educational trends.

[1]  Eric Klopfer,et al.  Augmented Learning: Research and Design of Mobile Educational Games , 2008 .

[2]  Clive Thompson,et al.  Smarter Than You Think: How Technology is Changing Our Minds for the Better , 2013 .

[3]  Barry Wellman,et al.  Networked: The New Social Operating System , 2012 .

[4]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[5]  Marco Kalz,et al.  Mobile as a Mainstream – Towards Future Challenges in Mobile Learning , 2014, Communications in Computer and Information Science.

[6]  Mark Pegrum,et al.  Mobile Learning: Languages, Literacies and Cultures , 2014 .

[7]  M. Scardamalia,et al.  Knowledge Building: Theory, Pedagogy, and Technology , 2006 .

[8]  Yong Zhao,et al.  World Class Learners: Educating Creative and Entrepreneurial Students , 2012 .

[9]  M. Kaku The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind , 2014 .

[10]  James Paul Gee,et al.  What video games have to teach us about learning and literacy , 2007, CIE.

[11]  Mark Warschauer REVIEW OF LEARNING IN THE CLOUD: HOW (AND WHY) TO TRANSFORM SCHOOLS WITH DIGITAL MEDIA Learning in the Cloud: How (and Why) to Transform Schools with Digital Media , 2011 .

[12]  Allison Littlejohn,et al.  Instructional quality of Massive Open Online Courses (MOOCs) , 2015, Comput. Educ..

[13]  John Cook,et al.  Mobile Learner Generated Contexts , 2010 .

[14]  Salman Khan,et al.  The One World Schoolhouse: Education Reimagined , 2012 .

[15]  Mark Gaved,et al.  Challenges in Context-Aware Mobile Language Learning: The MASELTOV Approach , 2014, mLearn.

[16]  Marie Bienkowski,et al.  Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief , 2012 .

[17]  Jennifer R. Whitson Gaming the Quantified Self , 2013 .

[18]  Chris Dede,et al.  Affordances and Limitations of Immersive Participatory Augmented Reality Simulations for Teaching and Learning , 2009 .

[19]  A. Freeman,et al.  The NMC Horizon Report: 2013 K-12 Edition. , 2009 .

[20]  Khe Foon Hew,et al.  Promoting engagement in online courses: What strategies can we learn from three highly rated MOOCS , 2016, Br. J. Educ. Technol..

[21]  Barbara Wasson,et al.  Editorial: Learning design, teacher inquiry into student learning and learning analytics: A call for action , 2015, Br. J. Educ. Technol..

[22]  C. Page The society for research into higher education , 1988 .

[23]  Marcelo Milrad,et al.  Seamless Learning : An International Perspective on Next Generation Technology Enhanced Learning , 2013 .

[24]  Ronald G. Dreslinski,et al.  Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers , 2015, ASPLOS.

[25]  Kevin Warwick,et al.  Artificial Intelligence: The Basics , 2011 .

[26]  Hugh C. Davis,et al.  Learning Analytics in Mobile and Ubiquitous Learning Environments , 2012, mLearn.

[27]  R. Kurzweil How to Create a Mind: The Secret of Human Thought Revealed , 2012 .

[28]  Ian Dunwell,et al.  Foundations of dynamic learning analytics: Using university student data to increase retention , 2015, Br. J. Educ. Technol..

[29]  John Traxler,et al.  Will Student Devices Deliver Innovation, Inclusion, and Transformation? , 2010 .

[30]  Grant Potter Augmented Reality and Mobile Technologies , 2011 .

[31]  D. Boyd,et al.  CRITICAL QUESTIONS FOR BIG DATA , 2012 .

[32]  Matt Dunleavy,et al.  Design Principles for Augmented Reality Learning , 2014 .

[33]  Marc Benioff,et al.  Age of Context: Mobile, Sensors, Data and the Future of Privacy , 2013 .

[34]  Mina Johnson-Glenberg,et al.  Emboldened by Embodiment , 2013 .

[35]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[36]  M. Castells ”Networks of Outrage and Hope. Social Movements in the Internet Age”. , 2019 .

[37]  Jeonghye Han,et al.  Robot assisted language learning , 2012 .

[38]  Howard Gardner,et al.  The app generation : how today's youth navigate identity, intimacy, and imagination in a digital world : with a new preface , 2013 .

[39]  Zane L. Berge,et al.  mMOOC Design: Ubiquitous, Open Learning in the Cloud , 2013 .

[40]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[41]  Neil Selwyn,et al.  Digital Technology and the Contemporary University: Degrees of digitization , 2014 .

[42]  J. Sykes,et al.  Mentira: prototyping language-based locative gameplay , 2012 .

[43]  Borko Furht,et al.  Augmented Reality: An Overview , 2011, Handbook of Augmented Reality.

[44]  Henriikka Vartiainen,et al.  Designing Participatory Learning. , 2014 .

[45]  Nicholas G. Carr,et al.  The Big Switch: Rewiring the World, from Edison to Google , 2008 .