Benefits of Guided Self-Management of Attention on Learning Accounting

This research investigated the effects of 3 instructional design formats on learning introductory accounting. In accordance with cognitive load theory, it was predicted that students who would learn with a guided self-managed instructional design format would outperform students who would learn with a conventional split-attention format or an integrated format on a recall test and a transfer test. In the guided self-management condition students were instructed to reorganize text and diagrams to reduce the need to search the solution steps within the text and match them with corresponding parts of the diagram, thereby freeing cognitive resources for learning. The results of an experiment conducted with 123 undergraduate university students confirmed the hypothesis by consistently demonstrating that students in the guided self-managed condition outperformed students in the integrated and split-attention conditions on the recall and transfer tests.

[1]  Vincent Aleven,et al.  Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor , 2006, Int. J. Artif. Intell. Educ..

[2]  A. Renkl,et al.  Instructional Aids to Support a Conceptual Understanding of Multiple Representations. , 2009 .

[3]  Shirley Agostinho,et al.  Adaptive diagrams: Handing control over to the learner to manage split-attention online , 2013, Comput. Educ..

[4]  Meredith D. Gall,et al.  Educational Research: An Introduction , 1965 .

[5]  Martina A. Rau,et al.  Enhancing undergraduate chemistry learning by helping students make connections among multiple graphical representations , 2015 .

[6]  John Sweller,et al.  Cognitive Load Theory: New Conceptualizations, Specifications, and Integrated Research Perspectives , 2010 .

[7]  T. Gog,et al.  Development of an instrument for measuring different types of cognitive load , 2013, Behavior Research Methods.

[8]  Tzu-Chien Liu,et al.  Split-attention and redundancy effects on mobile learning in physical environments , 2012, Comput. Educ..

[9]  Jacob Cohen Statistical Power Analysis , 1992 .

[10]  John Sweller,et al.  The Cambridge Handbook of Multimedia Learning: The Split-Attention Principle in Multimedia Learning , 2005 .

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

[12]  J. C. Hewson Efficiency in Learning , 1942 .

[13]  Hans Spada,et al.  The Active Integration of Information during Learning with Dynamic and Interactive Visualisations , 2004 .

[14]  F. Paas,et al.  Cognitive load theory: New directions and challenges , 2012 .

[15]  Mark Guzdial,et al.  Measuring cognitive load in introductory CS: adaptation of an instrument , 2014, ICER '14.

[16]  Modality Effects , 2019, Sign Language Phonology.

[17]  Donald E. Kieso,et al.  Principles of Financial Accounting , 2002 .

[18]  F. Paas,et al.  Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load , 2014 .

[19]  T. Gog,et al.  Optimising worked example instruction: Different ways to increase germane cognitive load. , 2006 .

[20]  Richard E. Mayer,et al.  e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning , 2002 .

[21]  A. Paivio Mental Representations: A Dual Coding Approach , 1986 .

[22]  Shirley Agostinho,et al.  Computer-Based Learning of Geometry from Integrated and Split-Attention Worked Examples: The Power of Self-Management , 2015, J. Educ. Technol. Soc..

[23]  Patrik Pluchino,et al.  Do fourth graders integrate text and picture in processing and learning from an illustrated science text? Evidence from eye-movement patterns , 2013, Comput. Educ..

[24]  T. Gog,et al.  Effects of pairs of problems and examples on task performance and different types of cognitive load , 2014 .

[25]  J. Kroll,et al.  Desirable Difficulties in Vocabulary Learning. , 2015, The American journal of psychology.

[26]  Chloe S. Gordon,et al.  Learning from Instructor‐managed and Self‐managed Split‐attention Materials , 2016 .

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

[28]  Carole L. Yue,et al.  Reducing verbal redundancy in multimedia learning: An undesired desirable difficulty? , 2013 .

[29]  Richard E. Mayer,et al.  Problem-solving transfer. , 1996 .

[30]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[31]  Daniel L. Schwartz,et al.  Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction , 2004 .

[32]  E. Bjork,et al.  Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. , 2011 .

[33]  John Sweller,et al.  Efficiency in Learning: Evidence-Based Guidelines to Manage Cognitive Load , 2005 .

[34]  Tina Seufert Supporting Coherence Formation in Learning from Multiple Representations , 2003 .

[35]  J. Merriënboer,et al.  Research on cognitive load theory and its design implications for e-learning , 2005 .

[36]  A. Paivio,et al.  Dual coding theory and education , 1991 .

[37]  Rolf Ploetzner,et al.  What contributes to the split-attention effect? The role of text segmentation, picture labelling, and spatial proximity , 2010 .

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

[39]  Paul Ginns Meta-Analysis of the Modality Effect. , 2005 .

[40]  P. Chandler,et al.  When auditory presentations should and should not be a component of multimedia instruction , 2003 .

[41]  C. J. Wolfe,et al.  The effects of system design alternatives on the acquisition of tax knowledge from a computerized tax decision aid , 2000 .

[42]  Paul Ginns Integrating information: A meta-analysis of the spatial contiguity and temporal contiguity effects , 2006 .

[43]  Shirley Agostinho,et al.  Adaptive Diagrams: A Research Agenda to Explore How Learners Can Manipulate Online Diagrams to Self-Manage Cognitive Load , 2014, Handbook of Human Centric Visualization.

[44]  M. D’Esposito Working memory. , 2008, Handbook of clinical neurology.

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

[46]  Richard E. Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[47]  P. Barrouillet,et al.  Time and cognitive load in working memory. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[48]  P. Goolkasian,et al.  Modality Effects in Sentence Recall , 2009, The Journal of general psychology.

[49]  Tina Seufert,et al.  Cognitive load and the format of instructional aids for coherence formation , 2006 .

[50]  Shana K. Carpenter Testing Enhances the Transfer of Learning , 2012 .

[51]  J. Sweller The worked example effect and human cognition , 2006 .

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

[53]  Hermann G. Ebner,et al.  Improving cross-content transfer in text processing by means of active graphical representation , 2003 .

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

[55]  John Sweller,et al.  Cognitive Load Theory , 2020, Encyclopedia of Education and Information Technologies.

[56]  F. Paas,et al.  Instructional Efficiency: Revisiting the Original Construct in Educational Research , 2008 .

[57]  Paul Chandler,et al.  Managing One's Own Cognitive Load when Evidence of Split Attention is Present , 2012 .

[58]  R. Mayer,et al.  Multimedia learning: Are we asking the right questions? , 1997 .

[59]  Yavuz Samur,et al.  Redundancy effect on retention of vocabulary words using multimedia presentation , 2012, Br. J. Educ. Technol..

[60]  John Sweller,et al.  In Academe, What Is Learned, and How Is It Learned? , 2015 .