How indirect supportive digital help during and after solving physics problems can improve problem-solving abilities

This study investigates the effectiveness of computer-delivered hints in relation to problem-solving abilities in two alternative indirect instruction schemes. In one instruction scheme, hints are available to students immediately after they are given a new problem to solve as well as after they have completed the problem. In the other scheme, hints are only available as worked out problems after students have finished their solution. The instruction schemes are supplied by means of a web-based program, Physhint, which supports the development of strategic knowledge [Pol, H. J., Harskamp, E. G., & Suhre, C. J. M. (2008). The effect of the timing of instructional support in a computer-supported problem-solving program for students in secondary physics education. Computers in Human Behavior, 24, 1156-1178]. This program supports novice problem solvers while undertaking physics problems concerned with forces by providing hints structured in accordance with Schoenfeld's episodes [Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching (pp. 224-270). New York: McMillan Publishing]. An experiment was carried out in four schools in order to study students' use of the hints in both of the computerized instruction schemes, as well as the effect of different uses of the available hints on students' ability to solve physics problems. The experiment consisted of three groups. Two groups of students were assigned to one of the two instruction schemes and a control group was selected for the purpose of comparison. The results of the experiment show that both computerized instruction schemes are effective. Students working with the most elaborate instruction scheme show an increased use of their pallet of heuristics and algorithms in the post-test. Furthermore, the instruction scheme in which hints are available to students during problem-solving proves to be most effective when students show an increase in the systematic use of hints during problem-solving. This paper therefore provides an insight into how a computer program implemented in school practice can improve students' strategic knowledge.

[1]  Yuichiro Anzai,et al.  Internal Models in Physics Problem Solving , 1984 .

[2]  R Ruurd Taconis,et al.  Teaching Science Problem Solving: An Overview of Experimental Work. , 2001 .

[3]  Michael G. Grote,et al.  Distributed Versus Massed Practice in High School Physics , 1995 .

[4]  R. Mayer.  Cognitive, metacognitive, and motivational aspects of problem solving , 1998 .

[5]  J. J. Dupin,et al.  In physics class, exercises can also cause problems . . . , 1991 .

[6]  David McNaughton,et al.  Algebra Instruction for Students with Learning Disabilities: Implications from a Research Review , 1999 .

[7]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[8]  Bruce L Sherin,et al.  How Students Understand Physics Equations , 2001 .

[9]  Ann L. Brown,et al.  How people learn: Brain, mind, experience, and school. , 1999 .

[10]  V. Aleven,et al.  Help Seeking and Help Design in Interactive Learning Environments , 2003 .

[11]  J. Greeno.  On Claims That Answer the Wrong Questions , 1997 .

[12]  Cor J. M. Suhre,et al.  Improving mathematical problem solving: A computerized approach , 2006, Comput. Hum. Behav..

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

[14]  Frederick Reif,et al.  Understanding and teaching important scientific thought processes , 1995 .

[15]  Cor J. M. Suhre,et al.  The effect of the timing of instructional support in a computer-supported problem-solving program for students in secondary physics education , 2008, Comput. Hum. Behav..

[16]  A. V. Heuvelen,et al.  Learning to think like a physicist: A review of research‐based instructional strategies , 1991 .

[17]  Alan H. Schoenfeld,et al.  Mathematical Problem Solving , 1985 .

[18]  Valerie J. Shute,et al.  Intelligent Tutoring Systems: Past, Present, and Future. , 1994 .

[19]  A. Schoenfeld.  Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics (Reprint) , 2009 .

[20]  Fred Paas,et al.  Effects of Process-Oriented Worked Examples on Troubleshooting Transfer Performance , 2006 .

[21]  K. Koedinger,et al.  Fostering the Intelligent Novice: Learning From Errors With Metacognitive Tutoring , 2005 .

[22]  James G. Greeno,et al.  Response: On Claims That Answer the Wrong Questions , 1997 .

[23]  Herbert A. Simon,et al.  Rejoinder: Situative versus Cognitive Perspectives: Form versus Substance , 1997 .

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

[25]  A. Renkl.  Worked-out examples: instructional explanations support learning by self- explanations , 2002 .

[26]  Egbert G. Harskamp,et al.  Solving physics problems with the help of computer‐assisted instruction , 2005 .

[27]  Ton de Jong,et al.  Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .

[28]  Benjamin S. Bloom,et al.  All Our Children Learning , 1982 .

[29]  John A. Ross,et al.  Retention of Problem-Solving Performance in School Contexts , 1985 .

[30]  H. Simon,et al.  Situated Learning and Education1 , 1996 .

[31]  Anthonius J.M. de Jong,et al.  Types and qualities of knowledge , 1993 .

[32]  J. Mercier,et al.  Individual differences in graduate students' help-seeking process in using a computer coach in problem-based learning , 2007 .

[33]  Cor J. M. Suhre,et al.  Schoenfeld's problem solving theory in a student controlled learning environment , 2007, Comput. Educ..

[34]  Alan Van Heuvelen,et al.  Overview, Case Study Physics , 1991 .

[35]  R. Moreno.  When worked examples don't work: Is cognitive load theory at an Impasse?☆ , 2006 .

[36]  R. Glaser,et al.  Learning Theory and the Study of Instruction , 1989 .

[37]  Martin Goedhart,et al.  The Effect of Hints and Model Answers in a Student-Controlled Problem-Solving Program for Secondary Physics Education , 2008 .

[38]  D. Wood,et al.  Help seeking, learning and contingent tutoring , 1999, Comput. Educ..

[39]  Erik De Corte,et al.  Mainstreams and Perspectives in Research on Learning (Mathematics) From Instruction , 2004 .

[40]  Richard K. Staley,et al.  From Example Study to Problem Solving: Smooth Transitions Help Learning , 2002 .

[41]  Herbert A. Simon,et al.  Situative Versus Cognitive Perspectives: Form Versus Substance , 1997 .

[42]  Frederick Reif,et al.  Millikan Lecture 1994: Understanding and teaching important scientific thought processes , 1995 .

[43]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .