Sequential effects of high and low instructional guidance on children’s acquisition of experimentation skills: Is it all in the timing?

We report the effect of different sequences of high vs low levels of instructional guidance on children’s immediate learning and long-term transfer of simple experimental design procedures and concepts, often called “CVS” (Control of Variables Strategy). Third-grade children (N = 57) received instruction in CVS via one of four possible orderings of high or low instructional guidance: high followed by high (HH), high followed by low (HL), low followed by high (LH), and low followed by low (LL). High guidance instruction consisted of a combination of direct instruction and inquiry questions, and low guidance included only inquiry questions. Contrary to the frequent claim that a high degree of instructional guidance leads to shallow learning and transfer, across a number of assessments—including a 5-month post-test—the HH group demonstrated a stronger understanding of CVS than the LL group. Moreover, we found no advantage for preceding high guidance with low guidance. We discuss our findings in relation to perspectives advocating “invention as preparation for future learning”, and the efficacy of “productive failure”.

[1]  Corinne Zimmerman The Development of Scientific Thinking Skills in Elementary and Middle School. , 2007 .

[2]  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 .

[3]  Robert F. Lorch,et al.  Learning the control of variables strategy in higher and lower achieving classrooms: Contributions of explicit instruction and experimentation. , 2010 .

[4]  Alison Pease,et al.  Proceedings of the Second International Conference on Analogy , 2009 .

[5]  K. Koedinger,et al.  Exploring the Assistance Dilemma in Experiments with Cognitive Tutors , 2007 .

[6]  Daniel L. Schwartz,et al.  A time for telling , 1998 .

[7]  D. Klahr,et al.  Bridging Research and Practice: A Cognitively Based Classroom Intervention for Teaching Experimentation Skills to Elementary School Children , 2000 .

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

[9]  F. Manganello Constructivist Instruction: Success or Failure? , 2010 .

[10]  Manu Kapur Productive failure in mathematical problem solving , 2010 .

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

[12]  Dedre Gentner,et al.  Using structural alignment to facilitate learning of spatial concepts in an informal setting , 2009 .

[13]  Vincent Aleven,et al.  Helping students know'further'-increasing the flexibility of students' knowledge using symbolic invention tasks , 2009 .

[14]  D. Kuhn Strategies of Knowledge Acquisition , 1995 .

[15]  Lara M. Triona,et al.  Point and Click or Grab and Heft: Comparing the Influence of Physical and Virtual Instructional Materials on Elementary School Students' Ability to Design Experiments , 2003 .

[16]  Daniel L. Schwartz,et al.  Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. , 2011 .

[17]  Slava Kalyuga,et al.  Measuring Knowledge to Optimize Cognitive Load Factors During Instruction. , 2004 .

[18]  D. Klahr,et al.  All other things being equal: acquisition and transfer of the control of variables strategy. , 1999, Child development.

[19]  D. Kuhn,et al.  Direct instruction vs. discovery: The long view , 2007 .

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

[21]  William J. McIntosh The National Science Education Standards as a Referent to Course Revision. , 1996 .

[22]  David Klahr,et al.  Remote transfer of scientific-reasoning and problem-solving strategies in children. , 2008, Advances in child development and behavior.

[23]  Audrey B. Champagne,et al.  The National Science Education Standards. , 2000 .

[24]  Paul J. Germann,et al.  Identifying patterns and relationships among the responses of seventh‐grade students to the science process skill of designing experiments , 1996 .

[25]  Milena K. Nigam,et al.  The Equivalence of Learning Paths in Early Science Instruction: Effects of Direct Instruction and Discovery Learning , 2022 .

[26]  K. Crowley,et al.  Designing for Science: Implications from Everyday, Classroom, and Professional Settings. , 2001 .

[27]  D. Kuhn,et al.  Is Developing Scientific Thinking All About Learning to Control Variables? , 2005, Psychological science.

[28]  Dirk van Rijn,et al.  Proceedings of the 31st annual conference of the Cognitive Science Society , 2003 .

[29]  Deanna Kuhn,et al.  Is Direct Instruction an Answer to the Right Question? , 2007 .

[30]  Lara M. Triona,et al.  Hands on What? The Relative Effectiveness of Physical versus Virtual Materials in an Engineering Design Project by Middle School Children , 2007 .

[31]  David Klahr,et al.  SCIENTIFIC THINKING ABOUT SCIENTIFIC THINKING , 1995 .

[32]  Mark A. McDaniel,et al.  Discovery Learning and Transfer of Problem-Solving Skills , 1990 .

[33]  D. Klahr “ To Every Thing There is a Season, and a Time to Every Purpose Under the Heavens” What about Direct Instruction? , 2009 .

[34]  D. Klahr,et al.  Developing elementary science skills: Instructional effectiveness and path independence , 2008 .

[35]  D. Kuhn,et al.  The development of scientific thinking skills , 1988 .

[36]  Manu Kapur Productive Failure , 2006, ICLS.

[37]  Slava Kalyuga,et al.  When problem solving is superior to studying worked examples. , 2001 .

[38]  David Klahr,et al.  Cognitive Research and Elementary Science Instruction: From the Laboratory, to the Classroom, and Back , 2005 .