Element interactivity as a factor influencing the effectiveness of worked example-problem solving and problem solving-worked example sequences.

BACKGROUND The worked example effect in cognitive load theory suggests that providing worked examples first followed by solving similar problems would facilitate students' learning. Using problem solving-worked example sequence is another way of implementing example-based instruction. Although research has demonstrated the superiority of worked example-problem solving sequence on learning materials that presumably are high in element interactivity for novices, none of the previous studies have compared the two sequences with levels of element interactivity experimentally manipulated in a strictly controlled manner. AIM The reported study aimed to investigate the effects of levels of element interactivity of the learning tasks and levels of learner prior knowledge on the effectiveness of two alternative example-based sequences, worked example-problem solving versus problem solving-worked example. SAMPLE Fifty-two Year five students, around 10 to 11 years old, from a primary school in Indonesia participated in Experiment 1, and 96 Year eight students, around 13 to 14 years old, from a secondary school in Indonesia participated in Experiment 2. METHODS 2 (sequences: worked example-problem solving vs. problem solving-worked example) × 2 (levels of element interactivity: low vs. high) experimental design, with the second factor repeatedly measured, was used in the two experiments conducted with learners at different levels of prior knowledge. RESULT The results showed the advantage of using worked example-problem solving sequence for learning materials high in element interactivity, especially for novice learners, whereas there were no differences between the worked example-problem solving and problem solving-worked example sequences for learning materials low in element interactivity for more knowledgeable learners. CONCLUSION This study not only replicated the results of previous studies, but also extended their findings by experimentally manipulating levels of element interactivity of learning materials.

[1]  Nelson Cowan,et al.  Metatheory of storage capacity limits , 2001, Behavioral and Brain Sciences.

[2]  J. Sweller,et al.  Natural Information Processing Systems , 2006 .

[3]  John Sweller,et al.  When Instructional Guidance is Needed , 2016 .

[4]  Nikol Rummel,et al.  Knowing what you don't know makes failure productive☆ , 2014 .

[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]  John Sweller,et al.  The worked example effect, the generation effect, and element interactivity. , 2015 .

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

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

[9]  Nikol Rummel,et al.  The impact of guidance during problem-solving prior to instruction on students’ inventions and learning outcomes , 2014 .

[10]  K. A. Ericsson,et al.  Long-term working memory. , 1995, Psychological review.

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

[12]  John Sweller,et al.  Relations between the worked example and generation effects on immediate and delayed tests , 2016 .

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

[14]  Alexander Renkl,et al.  Learning from direct instruction: Best prepared by several self-regulated or guided invention activities? , 2017 .

[15]  Slava Kalyuga,et al.  Effects of worked examples on step performance in solving complex problems , 2018, Educational Psychology.

[16]  Vincent Aleven,et al.  The worked-example effect: Not an artefact of lousy control conditions , 2009, Comput. Hum. Behav..

[17]  Alexander Renkl,et al.  Inventing a solution and studying a worked solution prepare differently for learning from direct instruction , 2015 .

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

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

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

[21]  Sharon K Tindall-Ford,et al.  When two sensory modes are better than one , 1997 .

[22]  Slava Kalyuga,et al.  When should guidance be presented in physics instruction , 2015 .

[23]  Manu Kapur,et al.  Productive Failure in Learning Math , 2014, Cogn. Sci..

[24]  Marci S. DeCaro,et al.  Exploring mathematics problems prepares children to learn from instruction. , 2012, Journal of experimental child psychology.

[25]  Slava Kalyuga,et al.  The Expertise Reversal Effect is a Variant of the More General Element Interactivity Effect , 2017 .

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

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

[28]  John Sweller,et al.  Should self-regulated learning be integrated with cognitive load theory? A commentary , 2017 .

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

[30]  Richard E. Clark,et al.  Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching , 2006 .

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