Young adolescents' metacognition and domain knowledge as predictors of hypothesis‐development performance in a computer‐supported context

Recently, the importance of ill‐structured problem‐solving in real‐world contexts has become a focus of educational research. Particularly, the hypothesis‐development process has been examined as one of the keys to developing a high‐quality solution in a problem context. The authors of this study examined predictive relations between young adolescents' metacognition, prior domain knowledge, and hypothesis‐development performance in a computer‐supported environment. Data were collected from 11‐ and 12‐year‐old Korean students (N = 101). A hypothesised model in predicting hypothesis‐development performance was evaluated using structural equation modelling. Both metacognition and prior domain knowledge significantly predicted young adolescents' hypothesis‐development performance. Implications and limitations of the present study and issues, including the experimental design, are discussed.

[1]  K. Mardia Measures of multivariate skewness and kurtosis with applications , 1970 .

[2]  Karen Strohm Kitchner Cognition, Metacognition, and Epistemic Cognition , 1983 .

[3]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[4]  P. Bentler Comparative Fit Indices in Structural Models , 1990 .

[5]  Roger Azevedo,et al.  Self-efficacy and prior domain knowledge: to what extent does monitoring mediate their relationship with hypermedia learning? , 2009 .

[6]  Roger Ward,et al.  The Cambridge Companion to Peirce , 2005 .

[7]  R. Pea Beyond Amplification : Using the Computer to Reorganize Mental Functioning , 1985 .

[8]  M. Sachs Objective Knowledge , 1974 .

[9]  Richard E Petty,et al.  Thought confidence as a determinant of persuasion: the self-validation hypothesis. , 2002, Journal of personality and social psychology.

[10]  Amy M. Shapiro,et al.  How Including Prior Knowledge As a Subject Variable May Change Outcomes of Learning Research , 2004 .

[11]  Tapabrata Maiti,et al.  Principles and Practice of Structural Equation Modeling (2nd ed.) , 2006 .

[12]  Kathy E. Johnson,et al.  Knowledge is not everything: analysis of children's performance on a haptic comparison task. , 2002, Journal of experimental child psychology.

[13]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[14]  Megan Smith,et al.  Clinical reasoning in physiotherapy , 2008 .

[15]  L. Schauble,et al.  Belief revision in children: the role of prior knowledge and strategies for generating evidence. , 1990, Journal of experimental child psychology.

[16]  Susan M. Land,et al.  A conceptual framework for scaffolding III-structured problem-solving processes using question prompts and peer interactions , 2004 .

[17]  Susan M. Land,et al.  Scaffolding students’ problem-solving processes in an ill-structured task using question prompts and peer interactions , 2003 .

[18]  David H. Jonassen,et al.  The effect of and effect with computer tools in experts' representation of ill-structured problems , 2000 .

[19]  Namsoo Shin,et al.  Predictors of well-structured and ill-structured problem solving in an astronomy simulation , 2003 .

[20]  J. Schulkin Cognitive Adaptation: A Pragmatist Perspective , 2008 .

[21]  A. Nezu,et al.  A study of the generation-of-alternatives process in social problem solving , 1980, Cognitive Therapy and Research.

[22]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[23]  R. Skov,et al.  Information-gathering processes: Diagnosticity, hypothesis-confirmatory strategies, and perceived hypothesis confirmation. , 1986 .

[24]  Robert F. Testa,et al.  Educational Research: Competencies for Analysis and Application , 1979 .

[25]  Bruce C. Howard,et al.  Measures of children's knowledge and regulation of cognition , 2002 .

[26]  Geoffrey E. Mills,et al.  Educational Research: Competencies for Analysis and Application , 1995 .

[27]  L. Friedenberg Children's thinking: Developmental function and individual differences. , 1996 .

[28]  P. Rozencwajg Metacognitive factors in scientific problem-solving strategies , 2003 .

[29]  Wouter van Joolingen,et al.  Cognitive tools for discovery learning , 1999 .

[30]  Craig R. M. McKenzie,et al.  Taking into Account the Strength of an Alternative Hypothesis , 2001 .

[31]  Charles F. Gettys,et al.  Consistency Checking in Hypothesis Generation , 1983 .

[32]  D. Rivett,et al.  CHAPTER 1 – Introduction to clinical reasoning , 2004 .

[33]  B. Byrne A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models , 1989 .

[34]  Darren A. Rivett,et al.  Clinical Reasoning for Manual Therapists , 2003 .

[35]  David Klahr,et al.  Dual Space Search During Scientific Reasoning , 1988, Cogn. Sci..

[36]  G. Hancock Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct , 2001 .

[37]  Timothy A. Post,et al.  On the solving of ill-structured problems. , 1988 .

[38]  J. Bruner Beyond the Information Given: Studies in the Psychology of Knowing , 1973 .

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

[40]  H. Schmidt,et al.  The psychological basis of problem‐based learning: a review of the evidence , 1992, Academic medicine : journal of the Association of American Medical Colleges.

[41]  D. Halpern Critical Thinking in Psychology: The Nature and Nurture of Critical Thinking , 2006 .

[42]  Barbara M. Byrne,et al.  A Primer of LISREL , 1989 .

[43]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[44]  J P Kassirer,et al.  Teaching clinical medicine by iterative hypothesis testing. Let's preach what we practice. , 1983, The New England journal of medicine.

[45]  Janet E. Davidson,et al.  The role of metacognition in problem solving , 1994 .

[46]  Peter M. Bentler,et al.  Estimates and tests in structural equation modeling. , 1995 .

[47]  D. Bjorklund Children's Thinking: Developmental Function and Individual Differences , 1988 .

[48]  Susanne P. Lajoie,et al.  Expert-novice differences in mammogram interpretation , 2007 .

[49]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[50]  Thomas J. D'Zurilla,et al.  Effects of problem definition and formulation on the generation of alternatives in the social problem-solving process , 2005, Cognitive Therapy and Research.

[51]  R. Brislin Back-Translation for Cross-Cultural Research , 1970 .

[52]  M. Lezak Neuropsychological assessment, 3rd ed. , 1995 .

[53]  Manuel London,et al.  Effects of Hypothesis Generation on Hypothesis Testing in Rule-Discovery Tasks. , 1997, The Journal of general psychology.

[54]  Patricia A. Alexander,et al.  Domain knowledge: Evolving themes and emerging concerns. , 1992 .

[55]  J. Frederiksen,et al.  Enabling Students to Construct Theories of Collaborative Inquiry and Reflective Learning: Computer Support for Metacognitive Development , 1999 .

[56]  Craig R. M. McKenzie Hypothesis Testing and Evaluation , 2008 .

[57]  Arie W. Kruglanski,et al.  Lay epistemic theory in social-cognitive psychology. , 1990 .

[58]  Kathryn M. Refshauge,et al.  Clinical reasoning in physiotherapy , 2004 .

[59]  R. Bruning Cognitive Psychology and Instruction , 1998 .

[60]  Peggy A. Ertmer,et al.  The expert learner: Strategic, self-regulated, and reflective , 1996 .

[61]  Larry Hatcher,et al.  A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling , 1994 .

[62]  M. Albanese,et al.  Problem‐based Learning: A Review of Literature on Its Outcomes and Implementation Issues , 1993, Academic medicine : journal of the Association of American Medical Colleges.

[63]  James J. Kellaris,et al.  A Selective Hypothesis Testing Perspective on Price-Quality Inference and Inference-Based Choice , 2005 .

[64]  Sangchul Oh The effects of constraint based argumentation scaffolding and epistemological beliefs on ill structured diagnosis-solution problem solving , 2004 .

[65]  David H. Jonassen,et al.  Instructional design models for well-structured and III-structured problem-solving learning outcomes , 1997 .

[66]  R. Abelson Decision making and decision theory , 1985 .

[67]  Susanne P. Lajoie Cognitive Tools for the Mind: The Promises of Technology—Cognitive Amplifiers or Bionic Prosthetics? , 2005 .

[68]  A. Rosen,et al.  Social workers' strategies for treatment hypothesis testing , 2002 .

[69]  Peter M. Bentler,et al.  Causal Modeling via Structural Equation Systems , 1988 .

[70]  Gregory Schraw,et al.  The Effect of Knowledge and Strategy Training on Monitoring Accuracy , 2002 .

[71]  W. Bradley,et al.  Accounting Expertise and Ill-Structured Problems: Cognitive Reasoning Abilities and Performance in Business Valuation Tasks , 1998 .

[72]  M. Segers,et al.  Enhancing problem-solving expertise by means of an authentic, collaborative, computer supported and problem-based course , 2006 .

[73]  Herbert A. Simon,et al.  The Structure of Ill Structured Problems , 1973, Artif. Intell..

[74]  B. Byrne Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[75]  Nigel Harvey,et al.  Blackwell Handbook of Judgment and Decision Making , 2004 .

[76]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[77]  M. C. Hill,et al.  Evaluating Model Fit , 2005 .

[78]  D. Klahr,et al.  Heuristics for Scientific Experimentation: A Developmental Study , 1993, Cognitive Psychology.

[79]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[80]  G. A. Marcoulides,et al.  A First Course in Structural Equation Modeling , 2000 .

[81]  Mary Ellen Quinn,et al.  Teaching hypothesis formation , 1975 .

[82]  J. Klayman,et al.  Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing , 1987 .

[83]  D. Jonassen Learning to Solve Problems: An Instructional Design Guide , 2009 .

[84]  Susan Y. McGorry Measurement in a cross‐cultural environment: survey translation issues , 2000 .