The impact of complexity on the expertise reversal effect: experimental evidence from testing accounting students

Element interactivity is a central concept of cognitive load theory that defines the complexity of a learning task. The reduction of task complexity through a temporary segmentation or isolation of interacting elements was investigated with 104 students randomly assigned to an interacting elements group, where participants were required to deal with complex accounting problems in their entirety, or an isolated elements group, where the task was broken down into constituent components. The results provide strong support for the expertise reversal effect with isolated elements beneficial for novices, while interacting elements were appropriate for more knowledgeable learners. Critically, these results only were obtained for high rather than low element interactivity materials. It was concluded that segmentation or element isolation should consider the expertise of the learner in conjunction with the complexity of the learning material.

[1]  R. Atkinson,et al.  Structuring the Transition From Example Study to Problem Solving in Cognitive Skill Acquisition: A Cognitive Load Perspective , 2003 .

[2]  Slava Kalyuga,et al.  Measuring Knowledge to Optimize Cognitive Load Factors During Instruction. , 2004 .

[3]  Liesbeth Kester,et al.  The Four-Component Instructional Design Model : Multimedia Principles in Environments for Complex Learning , 2014 .

[4]  L. R. Peterson,et al.  Short-term retention of individual verbal items. , 1959, Journal of experimental psychology.

[5]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[6]  Slava Kalyuga Expertise Reversal Effect and Its Implications for Learner-Tailored Instruction , 2007 .

[7]  H. Simon,et al.  Perception in chess , 1973 .

[8]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[9]  Slava Kalyuga,et al.  The Expertise Reversal Effect , 2003 .

[10]  J. Sweller,et al.  Effects of schema acquisition and rule automation on mathematical problem-solving transfer. , 1987 .

[11]  Katharina Scheiter,et al.  Making your own order: Order effects in system- and user-controlled settings for learning and problem solving. , 2007 .

[12]  John Sweller,et al.  Interactions between the isolated–interactive elements effect and levels of learner expertise: experimental evidence from an accountancy class , 2010 .

[13]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[14]  P. Chandler,et al.  Why Some Material Is Difficult to Learn , 1994 .

[15]  Martin Reisslein,et al.  Encountering the expertise reversal effect with a computer-based environment on electrical circuit analysis , 2006 .

[16]  Paul A. Kirschner,et al.  Ten Steps to Complex Learning: A Systematic Approach to Four-Component Instructional Design , 2007 .

[17]  Frank E. Ritter,et al.  In Order to Learn , 2007 .

[18]  A. D. D. Groot Thought and Choice in Chess , 1978 .

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

[20]  K. Koedinger,et al.  Accounting for Beneficial Effects of Worked Examples in Tutored Problem Solving , 2010 .

[21]  Marcia C. Linn,et al.  The Science of Learning and the Learning of Science Introducing Desirable Difficulties , 2006 .

[22]  P. Chandler,et al.  Cognitive Load Theory and the Format of Instruction , 1991 .

[23]  P. Chandler,et al.  Assimilating complex information , 2002 .

[24]  J. Sweller Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load , 2010 .