A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction

Motivation can be identified as a dimension that determines learning success and causes the high dropout rate among online learners, especially in complex e-learning environments. It is argued that these learning environments represensent a new challenge to cognitive load researchers to investigate the motivational effects of instructional conditions and help instructional designers to predict which instructional configurations will maximize learning and transfer. Consistent with the efficiency perspective introduced by Paas and Van Merriënboer (1993), an alternative motivational perspective of the relation between mental effort and performance is presented. We propose a procedure to compute and visualize the differential effects of instructional conditions on learner motivation, and illustrate this procedure on the basis of an existing data set. Theoretical and practical implications of the motivational perspective are discussed.

[1]  Leslie J. Briggs,et al.  Principles of Instructional Design , 1974 .

[2]  A. Bandura.  Self-efficacy mechanism in human agency. , 1982 .

[3]  J. Keller.  Motivational Design of Instruction , 1983 .

[4]  Charles M. Reigeluth,et al.  Instructional Design Theories and Models : An Overview of Their Current Status , 1983 .

[5]  G. Salomon.  The differential investment of mental effort in learning from different sources , 1983 .

[6]  G. Salomon.  Television is "easy" and print is "tough": The differential investment of mental effort in learning as a function of perceptions and attributions. , 1984 .

[7]  C. Dweck,et al.  A social-cognitive approach to motivation and personality , 1988 .

[8]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[9]  P. Ackerman,et al.  Motivation and cognitive abilities: an integrative/aptitude-treatment interaction approach to skill acquisition , 1989 .

[10]  Edward McAuley,et al.  Self-Efficacy, Perceptions of Success, and Intrinsic Motivation for Exercise1 , 1991 .

[11]  P. Pintrich,et al.  Students' motivational beliefs and their cognitive engagement in classroom academic tasks. , 1992 .

[12]  Fred G. W. C. Paas,et al.  The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures , 1992 .

[13]  F. Paas.  Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. , 1992 .

[14]  Katherine S. Cennamo,et al.  Learning from video: Factors influencing learners' preconceptions and invested mental effort , 1993 .

[15]  F. Paas,et al.  Variability of Worked Examples and Transfer of Geometrical Problem-Solving Skills: A Cognitive-Load Approach , 1994 .

[16]  F. Paas,et al.  Instructional control of cognitive load in the training of complex cognitive tasks , 1994 .

[17]  J. Mathieu,et al.  Goal Orientation in Organizational Research: A Conceptual and Empirical Foundation , 1996 .

[18]  Jill L. Quilici,et al.  Role of examples in how students learn to categorize statistics word problems. , 1996 .

[19]  John Sweller,et al.  Cognitive load theory and instructional design , 1997 .

[20]  Eleanor M. Smith,et al.  Relationships of goal orientation, metacognitive activity, and practice strategies with learning outcomes and transfer , 1998 .

[21]  Sandra L. Fisher,et al.  DIFFERENTIAL EFFECTS OF LEARNER EFFORT AND GOAL ORIENTATION ON TWO LEARNING OUTCOMES , 1998 .

[22]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[23]  J. Tuovinen,et al.  A comparison of cognitive load associated with discovery learning and worked examples , 1999 .

[24]  John Sweller,et al.  Instructional Design in Technical Areas , 1999 .

[25]  D. Steele-Johnson,et al.  Goal orientation and task demand effects on motivation, affect, and performance. , 2000, The Journal of applied psychology.

[26]  John M. Keller,et al.  Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation , 2001 .

[27]  Fred Paas,et al.  Dynamic problem selection in air traffic control training: a comparison between performance, mental effort and mental efficiency , 2001, Comput. Hum. Behav..

[28]  Slava Kalyuga,et al.  Learner Experience and Efficiency of Instructional Guidance , 2001 .

[29]  Slava Kalyuga,et al.  When problem solving is superior to studying worked examples. , 2001 .

[30]  J. G. Schuurman,et al.  Redirecting learners' attention during training: Effects on cognitive load, transfer test performance and training efficiency. , 2002 .

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

[32]  F. Paas,et al.  The efficiency of multimedia learning into old age. , 2003, The British journal of educational psychology.

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

[34]  F. Paas,et al.  Cognitive Load Measurement as a Means to Advance Cognitive Load Theory , 2003 .

[35]  F. Paas,et al.  Cognitive Load Theory and Instructional Design: Recent Developments , 2003 .

[36]  M. Quiñones,et al.  Practice variability and transfer of training: the role of self-efficacy generality. , 2003, The Journal of applied psychology.

[37]  P. Kirschner,et al.  Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning , 2003 .

[38]  Fred Paas,et al.  Mental Effort and Performance as Determinants for the Dynamic Selection of Learning Tasks in Air Traffic Control Training , 2004 .

[39]  John Sweller,et al.  Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture , 2004 .

[40]  Fred Paas,et al.  Exploring Multidimensional Approaches to the Efficiency of Instructional Conditions , 2004 .

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

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