Learning to Solve Problems in the Digital Age: Introduction

This chapter addresses the nature of problem solving in general, how cognitive psychologists believe that problem solving expertise develops, new issues in problem solving that have risen with new information and communication technologies, and some specific technologies and tools that can support the development of problem solving expertise. The chapter concludes with remarks about thorny issues that inhibit progress and mention some things to consider in the future.

[1]  Stephen I. Brown,et al.  The Art of Problem Posing , 1983 .

[2]  J. Michael Spector,et al.  Highly integrated model assessment technology and tools , 2010, CELDA 2008.

[3]  K. Anders Ericsson,et al.  Attaining Excellence Through Deliberate Practice: Insights from the Study of Expert Performance , 2008 .

[4]  J. Sweller,et al.  Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .

[5]  E. Thorndike.  Educational psychology, Vol 2: The psychology of learning. , 1913 .

[6]  E. Salas,et al.  Linking Expertise and Naturalistic Decision Making , 2001 .

[7]  Dietrich Dorner,et al.  The Logic of Failure: Why Things Go Wrong and What We Can Do to Make Them Right , 1996 .

[8]  Ann L. Brown,et al.  How people learn: Brain, mind, experience, and school. , 1999 .

[9]  Slava Kalyuga,et al.  Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning , 2005 .

[10]  H. Rittel,et al.  Dilemmas in a general theory of planning , 1973 .

[11]  Somaiya Naidu.  Learning and Teaching with Technology : Principles and Practices , 2003 .

[12]  Herbert A. Simon,et al.  Problem solving and education. , 1980 .

[13]  Kinshuk,et al.  Cognitive trait modelling: the case of inductive reasoning ability , 2006 .

[14]  Marcelo Milrad,et al.  Model facilitated learning , 2003 .

[15]  Edsger W. Dijkstra,et al.  The humble programmer , 1972, CACM.

[16]  Nian-Shing Chen,et al.  Learning styles and cognitive traits - Their relationship and its benefits in web-based educational systems , 2009, Comput. Hum. Behav..

[17]  D. Jonassen.  Learning to Solve Problems: An Instructional Design Guide , 2009 .

[18]  Rainer Bromme,et al.  The Nature of Time in Schools: Theoretical Concepts, Practitioner Perceptions , 1991 .

[19]  Gary Klein,et al.  Sources of Power: How People Make Decisions , 2017 .

[20]  J. Dewey.  How we think : a restatement of the relation of reflective thinking to the educative process , 1934 .

[21]  K. A. Ericsson,et al.  Toward a general theory of expertise : prospects and limits , 1991 .

[22]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[23]  Norman Frederiksen,et al.  Implications of Cognitive Theory for Instruction in Problem Solving , 1984 .

[24]  M. David Merrill,et al.  First principles of instruction , 2012 .

[25]  Nian-Shing Chen,et al.  An Infrastructure for Developing Pervasive Learning Environments , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

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

[27]  David C. Berliner,et al.  What's all the fuss about instructional time? , 1990 .

[28]  Susan E. Newman,et al.  Cognitive Apprenticeship: Teaching the Craft of Reading, Writing, and Mathematics. Technical Report No. 403. , 1987 .