Self-generated Drawing: A Help or Hindrance to Learning from Animation?

The considerable potential of animations to aid learning about dynamic systems too often remains unfulfilled when the targeted subject matter is complex and unfamiliar. Various approaches designed to support learning from animation in such cases have met with limited success. Recent studies on learning from demanding texts indicate that educational outcomes can be improved if learners are required to self-generate drawings during their study of a text. This improvement has been attributed to the role of drawing in fostering deeper learner processing of the presented information and superior self-regulation as learning proceeds. It is possible that learner self-generation of drawings during the study of demanding animations could provide similar benefits. However, the fundamental differences in how animation and text represent information suggest that using drawing-based interventions aimed at improving learning from animations should be approached with caution. This chapter adopts a process-oriented perspective to examine the prospects for using self-generated drawing to support learning from instructional animations. It concludes that while this approach may have potential benefits when the subject matter is simple and familiar, it is less likely to be beneficial for more complex, unfamiliar types of content.

[1]  Detlev Leutner,et al.  Cognitive load and science text comprehension: Effects of drawing and mentally imagining text content , 2009, Comput. Hum. Behav..

[2]  Jean-Michel Boucheix,et al.  Learning from Animated Diagrams: How Are Mental Models Built? , 2008, Diagrams.

[3]  R. Mayer,et al.  Multimedia Learning: Frontmatter , 2001 .

[4]  Peggy Noel Van Meter,et al.  Learner-generated drawing as a strategy for learning from content area text , 2006 .

[5]  Richard K. Lowe,et al.  A Systematic Characterization of Cognitive Techniques for Learning from Textual and Pictorial Representations , 2013 .

[6]  Peter van Sommers,et al.  Drawing and Cognition: Descriptive and Experimental Studies of Graphic Production Processes , 1984 .

[7]  Dale J. Cohen,et al.  Look little, look often: The influence of gaze frequency on drawing accuracy , 2005, Perception & psychophysics.

[8]  Shaaron E. Ainsworth,et al.  Drawing to Learn in Science , 2011, Science.

[9]  Tamara van Gog,et al.  An expertise reversal effect of segmentation in learning from animated worked-out examples , 2011, Comput. Hum. Behav..

[10]  Richard Lowe,et al.  A Composition Approach to Design of Educational Animations , 2017 .

[11]  R. Mayer,et al.  Drawing as a generative activity and drawing as a prognostic activity. , 2010 .

[12]  Stephen Thomas,et al.  Drawing-to-Learn: A Framework for Using Drawings to Promote Model-Based Reasoning in Biology , 2015, CBE life sciences education.

[13]  J. Tchalenko Segmentation and accuracy in copying and drawing: Experts and beginners , 2009, Vision Research.

[14]  R. Smith,et al.  Anatomy of the Horse , 1976 .

[15]  J. Cutting Representing Motion in a Static Image: Constraints and Parallels in Art, Science, and Popular Culture , 2002, Perception.

[16]  Stephan Schwan,et al.  Effects of presentation speed of a dynamic visualization on the understanding of a mechanical system , 2008 .

[17]  Richard Lowe,et al.  Aligning Affordances of Graphics with Learning Task Requirements , 2011 .

[18]  Rolf Ploetzner,et al.  Learning from Dynamic Visualization , 2017 .

[19]  S. Schwan,et al.  The cognitive benefits of interactive videos: learning to tie nautical knots , 2004 .

[20]  Howard Riley,et al.  Local processing enhancements associated with superior observational drawing are due to enhanced perceptual functioning, not weak central coherence , 2013, Quarterly journal of experimental psychology.

[21]  Patrick Cavanagh,et al.  Drawing skill is related to the efficiency of encoding object structure , 2014, i-Perception.

[22]  Se-Ho Nam,et al.  The gaze-shift strategy in drawing , 2014 .

[23]  R. Bangert-Drowns,et al.  The Effects of School-Based Writing-to-Learn Interventions on Academic Achievement: A Meta-Analysis , 2004 .

[24]  Phil Brodatz,et al.  The Human Form in Action and Repose: A Photographic Handbook for Artists , 1966 .

[25]  Peter van Sommers,et al.  Drawing and cognition: Frontmatter , 1984 .

[26]  Eadweard Muybridge,et al.  Animals in Motion , 1957 .

[27]  Jodie Jenkinson,et al.  The Role of Craft-Based Knowledge in the Design of Dynamic Visualizations , 2017 .

[28]  R. Mayer,et al.  The instructive animation: helping students build connections between words and pictures in multimedia learning , 1992 .

[29]  Richard E. Mayer,et al.  Drawing pictures during learning from scientific text: testing the generative drawing effect and the prognostic drawing effect , 2014 .

[30]  Pedro Calderon De La Barca,et al.  Animal Painting and Anatomy , 2011 .

[31]  T. Gog,et al.  A Theoretical Analysis of How Segmentation of Dynamic Visualizations Optimizes Students' Learning , 2010 .

[32]  Richard Lowe,et al.  Self-generated drawings for supporting comprehension of a complex animation , 2013 .

[33]  Richard Lowe,et al.  Animation and learning: selective processing of information in dynamic graphics , 2003 .

[34]  P. V. Meter,et al.  The Promise and Practice of Learner-Generated Drawing: Literature Review and Synthesis , 2005 .

[35]  Richard K. Lowe,et al.  An Eye Tracking Comparison of External Pointing Cues and Internal Continuous Cues in Learning with Complex Animations , 2010 .

[36]  Rolf Plötzner,et al.  Strategic learning from expository animations: Short- and mid-term effects , 2013, Comput. Educ..

[37]  Richard Lowe,et al.  Cueing complex animations: Does direction of attention foster learning processes? , 2011 .

[38]  Andrew T. Stull,et al.  Three Experimental Comparisons of Learner-generated versus Author-provided Graphic Organizers , 2007 .

[39]  Richard Lowe,et al.  Interrogation of a dynamic visualization during learning , 2004 .

[40]  Ric Lowe,et al.  Learning from animation: Where to look, when to look , 2008 .

[41]  Patrick Cavanagh,et al.  The artist's advantage: Better integration of object information across eye movements , 2013, i-Perception.

[42]  Richard K. Lowe Dynamic Visualizations: A Two-Edged Sword? , 2014, Handbook of Human Centric Visualization.

[43]  Rolf Ploetzner,et al.  Developing and evaluating a strategy for learning from animations , 2010 .

[44]  Peggy Noel Van Meter,et al.  Cognitive model of drawing construction: Learning through the construction of drawings. , 2013 .

[45]  J. Sweller,et al.  Cognitive load theory, the transient information effect and e-learning , 2012 .

[46]  Richard K. Lowe Extracting information from an animation during complex visual learning , 1999 .

[47]  Trevor R Anderson,et al.  A Model of How Different Biology Experts Explain Molecular and Cellular Mechanisms , 2015, CBE life sciences education.

[48]  Wolfgang Schnotz,et al.  Effects of animation's speed of presentation on perceptual processing and learning , 2010 .