Seeking the General Explanation: A Test of Inductive Activities for Learning and Transfer.

Evaluating the relation between evidence and theory should be a central activity for science learners. Evaluation comprises both hypothetico-deductive analysis, where theory precedes evidence, and inductive synthesis, where theory emerges from evidence. There is mounting evidence that induction is an especially good way to help learners grasp the deep structure (i.e., underlying principles) of phenomena. However, compared to the clear falsification logic of hypothetico-deductive analysis, a major challenge for induction is structuring the process to be systematic and effective. To address this challenge, we draw on Sir Francis Bacon's original treatise on inductive science. In a pair of experiments, college students used a computer simulation to learn about Faraday's law. In the inductive conditions, students sought a general explanation for several cases organized according to Bacon's tenets. In contrast, other students used a more hypothetico-deductive approach of sequentially testing (and revising) their hypotheses using the simulation. The inductive activity led to superior learning of a target principle measured by in-task explanations and posttests of near transfer and mathematical understanding. The results provide two important pieces of information. The first is that inductive activities organized by Bacon's tenets help students find the deep structure of empirical phenomena. The second is that, without an inductive “push,” students tend to treat instances separately and fail to search for their underlying commonalities. © 2014 Wiley Periodicals, Inc. J Res Sci Teach 52: 58–83, 2015

[1]  Vladimir M Sloutsky,et al.  The Advantage of Abstract Examples in Learning Math , 2008, Science.

[2]  Lillian C. McDermott,et al.  Millikan Lecture 1990: What we teach and what is learned—Closing the gap , 1991 .

[3]  J. Gibson,et al.  Perceptual learning; differentiation or enrichment? , 1955, Psychological review.

[4]  I. Biederman,et al.  Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task. , 1987 .

[5]  Marcia C. Linn,et al.  Designing guidance for interpreting dynamic visualizations: Generating versus reading explanations , 2014 .

[6]  Kenneth A. Strike,et al.  A revisionist theory of conceptual change , 1992 .

[7]  Keith J. Holyoak,et al.  "Interdomain transfer between isomorphic topics in algebra and physics": Correction to Bassok and Holyoak (1989). , 1989 .

[8]  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 .

[9]  K. Holyoak,et al.  Overcoming contextual limitations on problem-solving transfer. , 1989 .

[10]  Ann L. Brown,et al.  Preschool children can learn to transfer: Learning to learn and learning from example , 1988, Cognitive Psychology.

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

[12]  H. Simon,et al.  Perception in chess , 1973 .

[13]  Jessica Thompson,et al.  Beyond the scientific method: Model‐based inquiry as a new paradigm of preference for school science investigations , 2008 .

[14]  John D. Bransford,et al.  New approaches to instruction: because wisdom can't be told , 1989 .

[15]  D. Gentner,et al.  Structure mapping in analogy and similarity. , 1997 .

[16]  On the 'Fabric' of our global science education research community: The art and science of writing for the Journal of Research in Science Teaching , 2016 .

[17]  Rod D. Roscoe,et al.  Tutor learning: the role of explaining and responding to questions , 2008 .

[18]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[19]  C. Wieman,et al.  PhET: Simulations That Enhance Learning , 2008, Science.

[20]  B. Ross This is like that: The use of earlier problems and the separation of similarity effects. , 1987 .

[21]  A survey of proportional reasoning and control of variables in seven countries , 1977 .

[22]  Richard A. Duschl,et al.  Reconsidering the Character and Role of Inquiry in School Science: Analysis of a Conference , 2007 .

[23]  Lisa Jardine,et al.  The New Organon , 2008 .

[24]  J. Nussbaum,et al.  Alternative frameworks, conceptual conflict and accommodation: Toward a principled teaching strategy , 1982 .

[25]  Rod D. Roscoe,et al.  Understanding Tutor Learning: Knowledge-Building and Knowledge-Telling in Peer Tutors’ Explanations and Questions , 2007 .

[26]  Richard A. Duschl,et al.  Philosophy of science, cognitive psychology, and educational theory and practice , 1992 .

[27]  F. Gill,et al.  Advice to a Young Scientist , 1982 .

[28]  Helen R. Quinn,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2013 .

[29]  W. Davis The Ecological Approach to Visual Perception , 2012 .

[30]  R. Duschl Science Education in Three-Part Harmony: Balancing Conceptual, Epistemic, and Social Learning Goals , 2008 .

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

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

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

[34]  B. Rittle-Johnson,et al.  Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations. , 2007 .

[35]  R. Mayer Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[36]  B. Asher The Professional Vision , 1994 .

[37]  Mario Aachen,et al.  Scientific Literacy And The Myth Of The Scientific Method , 2016 .

[38]  Dedre Gentner,et al.  Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..

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

[40]  Thomas W. Shiland Probing for Understanding. , 2002 .

[41]  William M. Smith,et al.  A Study of Thinking , 1956 .

[42]  Keith J. Holyoak,et al.  Interdomain Transfer Between Isomorphic Topics in Algebra and Physics , 2004 .

[43]  D. Gentner,et al.  Learning and Transfer: A General Role for Analogical Encoding , 2003 .

[44]  R. Siegler,et al.  How Does Change Occur: A Microgenetic Study of Number Conservation , 1995, Cognitive Psychology.

[45]  R. Siegler Microgenetic Studies of Self-Explanation , 2002 .

[46]  K. Holyoak,et al.  Schema induction and analogical transfer , 1983, Cognitive Psychology.

[47]  David P Maloney,et al.  Ranking task exercises in physics , 2003 .

[48]  D. Medin,et al.  The specific character of abstract thought: Categorization, problem-solving, and induction: Volume 5 , 1989 .

[49]  Joseph Jay Williams,et al.  The role of explanation in discovery and generalization: evidence from category learning , 2010, ICLS.

[50]  Rola Khishfe,et al.  Influence of Explicit and Reflective versus Implicit Inquiry-Oriented Instruction on Sixth Graders' Views of Nature of Science. , 2002 .

[51]  Anton E. Lawson,et al.  How “scientific” is science education research? , 2009 .

[52]  Bekele Gashe Dega,et al.  Students' conceptual change in electricity and magnetism using simulations: A comparison of cognitive perturbation and cognitive conflict , 2013 .

[53]  Michelene T. H. Chi,et al.  Self-Explanations: How Students Study and Use Examples in Learning To Solve Problems. Technical Report No. 9. , 1987 .

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

[55]  R. Felder Reaching the Second Tier--Learning and Teaching Styles in College Science Education. , 1993 .

[56]  J. J. Dupin,et al.  Taking Into Account Student Conceptions in Instructional Strategy: An Example in Physics , 1987 .

[57]  K. Holyoak,et al.  Interdomain Transfer Between Isomorphic Topics in Algebra and Physics , 1989 .

[58]  William F. Brewer,et al.  The Role of Anomalous Data in Knowledge Acquisition: A Theoretical Framework and Implications for Science Instruction , 1993 .

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

[60]  John Sweller,et al.  Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture , 2004 .

[61]  David A. Gillam,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2012 .

[62]  Brian H. Ross,et al.  Learning categories by making predictions: An investigation of indirect category learning , 2004, Memory & cognition.

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