Human-information interaction: An emerging focus for educational cognitive tools

Educational cognitive tools are interactive, computer-based tools that augment one’s mind to facilitate learning. Examples of these include interactive mathematical software, interactive physics simulations, and interactive biology visualizations. While using these tools a learner’s mind becomes coupled with the tool, forming a cognitive system, such that cognitive processes are distributed across this system. The coupling of this system is strong, as the cognitive tool actively contributes to information-processing tasks by serving a representational function. By representing information at their interface, cognitive tools provide learners with access to information. Additionally, as cognitive tools are interactive, learners can perform actions upon the represented information. These actions serve an epistemic function and can be considered part of thought itself. Epistemic actions are basic actions that a learner may perform on any interactive cognitive tool and thus are technology-independent. Therefore, there is a need for designers and educators to focus on the ways in which learners use, interact with, and think with information, independent of the technology that is mediating the interaction. This chapter examines the dynamics of human-information interaction as an emerging area of interest, the implications for educational cognitive tools, and some of its emerging research efforts.

[1]  Donald A. Norman,et al.  Things That Make Us Smart: Defending Human Attributes In The Age Of The Machine , 1993 .

[2]  R. Pea.  Practices of distributed intelligence and designs for education , 1993 .

[3]  Kim A. Kastens,et al.  Epistemic Actions in Science Education , 2008, Spatial Cognition.

[4]  Ilias Karasavvidis,et al.  Distributed Cognition and Educational Practice , 2002 .

[5]  Rachelle S. Heller,et al.  Using a theoretical multimedia taxonomy framework , 2001, JERC.

[6]  Hai-Ning Liang,et al.  An Exploratory Study of Interactivity in Visualization Tools: ‘Flow’ of Interaction , 2010 .

[7]  Frank L. Greitzer,et al.  Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction , 2007, Int. J. Cogn. Informatics Nat. Intell..

[8]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[9]  Geoffrey E. Hinton,et al.  The appeal of parallel distributed processing , 1986 .

[10]  Gavriel Salomon,et al.  Do Technologies Make Us Smarter? Intellectual Amplification With, Of, and Through Technology , 2005 .

[11]  F. Bry,et al.  Education in a technological world : communicating current and emerging research and technological efforts , 2011 .

[12]  Gary Marchionini,et al.  Human–information interaction research and development , 2008 .

[13]  Kamran Sedig,et al.  Interactivity of Information Representations in e-Learning Environments , 2012 .

[14]  John M. Carroll,et al.  Designing Interaction: Psychology at the Human-Computer Interface , 1991 .

[15]  Jean Scholtz,et al.  Metrics for evaluating human information interaction systems , 2006, Interact. Comput..

[16]  A. Clark,et al.  The Extended Mind , 1998, Analysis.

[17]  Michael J. Albers,et al.  Human-information interaction , 2008, SIGDOC '08.

[18]  R. Pea.  Beyond Amplification : Using the Computer to Reorganize Mental Functioning , 1985 .

[19]  Daniel L. Schwartz,et al.  Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts , 2005, Cogn. Sci..

[20]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[21]  David H. Jonassen,et al.  Learning with Technology: A Constructivist Perspective , 1998 .

[22]  Susanne P. Lajoie,et al.  A Middle Camp for (Un)lntelligent Instructional Computing: An Introduction , 2013 .

[23]  Itiel E. Dror,et al.  The impact of cognitive technologies: Towards a pragmatic approach , 2005 .

[24]  Kamran Sedig,et al.  Interactive Mathematical Visualisations: Frameworks, Tools and Studies , 2009 .

[25]  I. Dror.  Cognitive Technologies and the Pragmatics of Cognition , 2007 .

[26]  BreyPhilip.  The Epistemology and Ontology of Human-Computer Interaction , 2005 .

[27]  Edwin Hutchins,et al.  Distributed Cognition in an Airline Cockpit , 1996 .

[28]  Raya Fidel,et al.  "It's about the information stupid!": why we need a separate field of human-information interaction , 2006, CHI EA '06.

[29]  James D. Hollan,et al.  Distributed cognition: toward a new foundation for human-computer interaction research , 2000, TCHI.

[30]  D. Perkins,et al.  Partners in Cognition: Extending Human Intelligence with Intelligent Technologies , 1991 .

[31]  David D. Preiss,et al.  Intelligence and technology : the impact of tools on the nature and development of human abilities , 2005 .

[32]  G. Salomon.  Distributed cognitions : psychological and educational considerations , 1997 .

[33]  Susanne P. Lajoie.  Cognitive Tools for the Mind: The Promises of Technology—Cognitive Amplifiers or Bionic Prosthetics? , 2005 .

[34]  Paul P. Maglio,et al.  On Distinguishing Epistemic from Pragmatic Action , 1994, Cogn. Sci..

[35]  Thomas C. Reeves,et al.  Reframing research on learning with technology: in search of the meaning of cognitive tools , 2007 .

[36]  Hai-Ning Liang,et al.  Interactivity of Visual Mathematical Representations: Factors Affecting Learning and Cognitive Processes , 2006 .

[37]  Itiel E. Dror.  Introduction: Gold mines and land mines in cognitive technology , 2007 .