Effects of practice with videos for software training

Purpose: Software makers nowadays regularly post videos on their websites to satisfy their clients’ need for instructional support. Some of these designs include an opportunity for practice. This study investigated whether the presence and timing of practice affected motivation and learning in video-based software training. Method: An experiment is reported with four conditions: video-practice (VP), practice-video (PV), practice-video-practice (PVP), and video only (V). For motivation, the study assessed mood states and flow experience during training. In addition, task relevance and self-efficacy were measured before and after training. Learning was assessed with several performance tests for trained tasks. In addition, a transfer test was administered. Results: The findings for presence of practice were mixed. Practice increased training time and led to more negative mood states during training. A clear advantage of practice was found only on the transfer test. The findings for timing of practice favored a sequence in which instruction preceded practice. Perplexing results were found for the PVP condition. The highest learning gains were expected for this condition, but, instead, this condition had the lowest performance scores on a practice test and immediate post-test. Conclusion: This study indicates that the design issue of whether or not to complement video-based software training with practice is more complex than it seems.

[1]  Heinz Mandl,et al.  Instruktionale Effekte einer kombinierten Lernmethode , 2000 .

[2]  T. Gog,et al.  Example-Based Learning: Integrating Cognitive and Social-Cognitive Research Perspectives , 2010 .

[3]  Patricia Bagget The role of practice in videodisc-based procedural instructions , 1988, IEEE Trans. Syst. Man Cybern..

[4]  T. Gog,et al.  Effects of worked examples, example-problem, and problem-example pairs on novices learning , 2011 .

[5]  Tamara van Gog Effects of identical example-problem and problem-example pairs on learning , 2011, Comput. Educ..

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

[7]  Fred Paas,et al.  Observational learning from animated models: effects of studying–practicing alternation and illusion of control on transfer , 2010 .

[8]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

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

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

[11]  Alexander Renkl,et al.  Toward an Instructionally Oriented Theory of Example-Based Learning , 2014, Cogn. Sci..

[12]  Hans van der Meij Developing and Testing a Video Tutorial for Software Training , 2014 .

[13]  John M. Carroll,et al.  Principles and Heuristics for Designing Minimalist Instruction , 1998 .

[14]  Hans van der Meij,et al.  Demonstration-based training (DBT) in the design of a video tutorial for software training , 2016, Instructional Science.

[15]  Ahmet Naci Çoklar,et al.  Information literacy and digital nativity as determinants of online information search strategies , 2017, Comput. Hum. Behav..

[16]  T. Gog,et al.  The Effects of Practice Schedule and Critical Thinking Prompts on Learning and Transfer of a Complex Judgment Task. , 2011 .

[17]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[18]  John M. Carroll,et al.  Ten misconceptions about minimalism , 1996 .

[19]  Hans van der Meij,et al.  Reviews in instructional video , 2017, Comput. Educ..

[20]  Eduardo Salas,et al.  Using Instructional Features to Enhance Demonstration-Based Training in Management Education , 2013 .

[21]  Hans van der Meij,et al.  Eight guidelines for the design of instructional videos for software training , 2013 .

[22]  Krzysztof J. Gorgolewski,et al.  Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI , 2014, Front. Hum. Neurosci..

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

[24]  Hans van der Meij,et al.  The effects of reviews in video tutorials , 2016, J. Comput. Assist. Learn..

[25]  Joyce Karreman,et al.  Three Decades of Research and Professional Practice on Printed Software Tutorials for Novices , 2009 .

[26]  S. Derry,et al.  Learning from Examples: Instructional Principles from the Worked Examples Research , 2000 .

[27]  J. Eccles,et al.  Motivational beliefs, values, and goals. , 2002, Annual review of psychology.

[28]  Randy Jensen,et al.  Demonstration-Based Training: A Review of Instructional Features , 2010 .

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

[30]  Michael J. Hannafin,et al.  The effects of variations in lesson control and practice on learning from interactive video , 1987 .

[31]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

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

[33]  J. Sweller,et al.  The Use of Worked Examples as a Substitute for Problem Solving in Learning Algebra , 1985 .

[34]  H. van der Meij,et al.  Goal-Orientation, Goal-Setting, and Goal-Driven Behavior in Minimalist User Instructions , 2007 .

[35]  Heinz Mandl,et al.  Instruktionale Effekte einer kombinierten Lernmethode: Zahlt sich die Kombination von Lösungsbeispielen und Problemlöseaufgaben aus? , 1999 .

[36]  Hans van der Meij,et al.  Complex software training: Harnessing and optimizing video instruction , 2017, Comput. Hum. Behav..

[37]  Takeo Igarashi,et al.  Generating photo manipulation tutorials by demonstration , 2009, SIGGRAPH 2009.

[38]  Hans-Christian Jabusch,et al.  Effects of variability of practice in music: a pilot study on fast goal-directed movements in pianists , 2014, Front. Hum. Neurosci..

[39]  Stephen J. Payne,et al.  Learning to Use a Spreadsheet By Doing and By Watching , 1994, Interact. Comput..

[40]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[41]  R. Schmidt,et al.  New Conceptualizations of Practice: Common Principles in Three Paradigms Suggest New Concepts for Training , 1992 .