Learning Networks and Connective Knowledge

The purpose of this paper is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge and therefore the learning of knowledge is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a knowing community. And another part of this thinking is centered around the new, and the newly empowered, learner, the member of the net generation, who is thinking and interacting in new ways. These trends combine to form what is sometimes called 'e-learning 2.0' an approach to learning that is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather, as embedded in meaningful activities such as games or workflows.

[1]  Terrence J. Sejnowski,et al.  Computation in the age of neuroscience , 1993 .

[2]  Mike Moore,et al.  Toward a Theory of Independent Learning and Teaching , 1973 .

[3]  George Lakoff,et al.  Women, Fire, and Dangerous Things , 1987 .

[4]  J. Smart.  Neurophilosophy: Toward a unified science of the mind-brain Patricia Smith Churchland. Bradford Books, MIT Press, Cambridge, Massachusetts (1986). xiv + 546 pp. , 1987, Neuroscience.

[5]  Meishar-TalHagit,et al.  A Framework for the Assessment of Wiki-Based Collaborative Learning Activities , 2010 .

[6]  D. McDermott.  LANGUAGE OF THOUGHT , 2012 .

[7]  W. Schramm,et al.  Mass media and national development , 1965 .

[8]  Mark William Johnson,et al.  Personal Learning Environments: Challenging the Dominant Design of Educational Systems , 2006, EC-TEL Workshops.

[9]  Stephen Downes.  E-learning 2.0 , 2005, ELERN.

[10]  Jerry A. Fodor,et al.  Representations: Philosophical Essays on the Foundations of Cognitive Science , 1981 .

[11]  W. Bean.  Patterns of Discovery : An Inquiry into the Conceptual Foundations of Science. , 1960 .

[12]  James H. Moor,et al.  Knowledge and the Flow of Information. , 1982 .

[13]  M. Moore.  Editorial: Three types of interaction , 1989 .

[14]  Philipp Slusallek,et al.  Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.

[15]  John R. Searle,et al.  Minds, brains, and programs , 1980, Behavioral and Brain Sciences.

[16]  George Siemens.  Connectivism: A Learning Theory for the Digital Age , 2004 .

[17]  Hugh C. Davis,et al.  Making it Rich and Personal: Crafting an Institutional Personal Learning Environment , 2011, Int. J. Virtual Pers. Learn. Environ..

[18]  William P. Alston,et al.  Knowledge and the Flow of Information , 1985 .

[19]  Duncan J. Watts,et al.  Six Degrees: The Science of a Connected Age , 2003 .

[20]  Mark Buchanan,et al.  Nexus: Small Worlds and the Groundbreaking Science of Networks , 2002 .

[21]  Mark van Harmelen,et al.  Personal Learning Environments , 2006, ICALT.

[22]  W. Quine.  The two dogmas of empiricism , 1951 .

[23]  Stephen Downes.  Public policy, research and online learning , 2003, UBIQ.

[24]  Randall C. O’Reilly,et al.  Modeling Integration and Dissociation in Brain and Cognitive Development , 2022 .

[25]  Stephen DOWNES.  Understanding PISA , 2005 .

[26]  J. Cross.  Informal Learning: Rediscovering the Natural Pathways That Inspire Innovation and Performance , 2006 .

[27]  Willard Van Orman Quine,et al.  Word and Object , 1960 .

[28]  Everett M. Rogers,et al.  The Beginnings of Communication Study in America: A Personal Memoir , 1997 .

[29]  J. Warren.  Synaptic Self: How our Brains Become who we Are , 2002 .

[30]  Maria A. Perifanou.  My Personal Mobile Language Learning Environment: An Exploration and Classification of Language Learning Possibilities Using the iPhone , 2011, Int. J. Virtual Pers. Learn. Environ..

[31]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

[32]  Hubert L. Dreyfus,et al.  Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer , 1987, IEEE Expert.

[33]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry , 1969 .

[34]  T. Nagel.  Mortal Questions: What is it like to be a bat? , 2012 .

[35]  J. Fodor.  Psychosemantics: The Problem of Meaning in the Philosophy of Mind , 1988 .

[36]  J. Knott.  The organization of behavior: A neuropsychological theory , 1951 .

[37]  W. Bean.  Personal Knowledge: Towards a Post-Critical Philosophy , 1961 .

[38]  Mary Madden and Susannah Fox,et al.  Riding the Waves of “Web 2.0” , 2006 .

[39]  Geoffrey E. Hinton,et al.  Learning distributed representations of concepts. , 1989 .

[40]  W. Quine.  Main trends in recent philosophy: two dogmas of empiricism. , 1951 .

[41]  Em Griffin.  A First Look at Communication Theory , 2005 .

[42]  Ian Ravenscroft,et al.  Is Folk Psychology a Theory? , 2019, The Routledge Companion to Philosophy of Psychology.

[43]  K. Maier.  INQUIRY , 2007 .

[44]  M. van Harmelen.  Personal Learning Environments , 2006 .

[45]  Allen Newell,et al.  GPS, a program that simulates human thought , 1995 .

[46]  Joanne M. McInnerney,et al.  Collaborative or Cooperative Learning , 2004 .

[47]  S. Kosslyn.  Image and mind , 1982 .

[48]  J. Fodor,et al.  Psychosemantics: The Problem of Meaning in the Philosophy of Mind , 1988 .