Modeling Domain Learning: Profiles From the Field of Special Education

The authors examined knowledge, interest, and strategic processing profiles within special education for 4 educational communities. Participants included undergraduates not majoring in special education and undergraduates, graduate students, and faculty from special education. Cluster analysis tested whether participants would exhibit the knowledge, interest, and strategic processing profiles expected for individuals at various stages of expertise. The Model of Domain Learning (MDL) was the theoretical framework for data interpretation. Results provided strong support for the MDL. Specifically, 4 clusters emerged from the data. Clusters (i.e., Acclimation, Early Competence, Mid-Competence, and Proficiency) were statistically distinct with regard to the external criterion, domain-specific analogical reasoning, and in relation to clustering variables. Implications for developmental models of expertise and for educational practice are considered.

[1]  P. Ackerman Adult intelligence: Sketch of a theory and applications to learning and education. , 1998 .

[2]  M. Chi,et al.  The Nature of Expertise , 1988 .

[3]  M. Scardamalia,et al.  Surpassing Ourselves: An Inquiry into the Nature and Implications of Expertise , 1993 .

[4]  J. Kauffman,et al.  Teaching Students With Learning and Behavior Problems , 1986 .

[5]  J. Stanley Intellectual Precocity , 1975 .

[6]  Brian Everitt,et al.  A Handbook of Statistical Analyses Using SAS , 1996 .

[7]  R. Glaser,et al.  Knowing What Students Know: The Science and Design of Educational Assessment , 2001 .

[8]  Interest Assessment and the Content Area Literacy Environment: Challenges for Research and Practice , 2001 .

[9]  Patricia A. Alexander,et al.  College Instruction and Concomitant Changes in Students’ Knowledge, Interest, and Strategy Use: A Study of Domain Learning , 1997 .

[10]  D. Perkins,et al.  Informal reasoning and education , 1991 .

[11]  C. Reynolds,et al.  The Handbook of School Psychology , 1982 .

[12]  Neil Charness,et al.  Expertise in chess: The balance between knowledge and search. , 1991 .

[13]  J. Banner Historical Thinking and Other Unnatural Acts: Charting the Future of Teaching the Past , 2003 .

[14]  Patricia A. Alexander,et al.  Interrelationship of Knowledge, Interest, and Recall: Assessing a Model of Domain Learning , 1995 .

[15]  Patricia A. Alexander,et al.  How Subject-Matter Knowledge Affects Recall and Interest , 1994 .

[16]  G. Gupta A Handbook of Statistical Analyses using SAS , 2002 .

[17]  P. Pintrich,et al.  Beyond Cold Conceptual Change: The Role of Motivational Beliefs and Classroom Contextual Factors in the Process of Conceptual Change , 1993 .

[18]  Y. Anzai Learning and use of representations for physics expertise , 1991 .

[19]  P. Alexander,et al.  What Responses to Domain-Specific Analogy Problems Reveal about Emerging Competence: A New Perspective on an Old Acquaintance. , 1998 .

[20]  W. Swan,et al.  The CEC Common Core of Knowledge and Skills Essential for All Beginning Special Education Teachers , 1992 .

[21]  K. Ericsson,et al.  Prospects and limits of the empirical study of expertise: an introduction , 1991 .

[22]  Laura M. Stough,et al.  Special Thinking in Special Settings , 2003 .

[23]  Gregory Schraw,et al.  Increasing Situational Interest in the Classroom , 2001 .

[24]  Michael Pressley,et al.  Skilled comprehension and its development through instruction. , 1997 .

[25]  Patricia A. Alexander,et al.  Toward a Model of Academic Development: Schooling and the Acquisition of Knowledge , 2000 .

[26]  J. Bransford,et al.  The ideal problem solver , 1984 .

[27]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[28]  Richard E. Mayer,et al.  The Teaching of Learning Strategies. , 1983 .

[29]  Cecil R. Reynolds,et al.  The handbook of school psychology, 3rd ed. , 1999 .

[30]  M. Hardman Human Exceptionality: Society, School, and Family , 1984 .

[31]  M. Wittrock Handbook of research on teaching , 1986 .

[32]  Brian Everitt,et al.  Cluster analysis , 1974 .

[33]  F. Allard,et al.  Skill in sport. , 1985 .

[34]  John R. Hayes,et al.  The complete problem solver, 2nd ed. , 1989 .

[35]  G. W. Milligan,et al.  Methodology Review: Clustering Methods , 1987 .

[36]  Peter G. Polson,et al.  An experimental analysis of the mechanisms of a memory skill. , 1988 .

[37]  L. Blanton Preservice Education: Essential Knowledge for the Effective Special Education Teacher , 1992 .

[38]  M. Maehr Advances in Motivation and Achievement , 1991 .

[39]  Vimla L. Patel,et al.  The general and specific nature of medical expertise: A critical look. , 1991 .

[40]  Daniel L. Schwartz,et al.  Chapter 3: Rethinking Transfer: A Simple Proposal With Multiple Implications , 1999 .

[41]  Patricia A. Alexander,et al.  Profiling the Differences in Students' Knowledge, Interest, and Strategic Processing , 1998 .

[42]  B. S. Everitt,et al.  Cluster analysis , 2014, Encyclopedia of Social Network Analysis and Mining.

[43]  P. Ackerman A theory of adult intellectual development: Process, personality, interests, and knowledge , 1996 .

[44]  Sam Wineburg,et al.  Reading Abraham Lincoln: An Expert/Expert Study in the Interpretation of Historical Texts , 1998, Cogn. Sci..

[45]  P. Ackerman Traits and knowledge as determinants of learning and individual differences: Putting it all together. , 1999 .

[46]  Phillip L. Ackerman,et al.  Cognitive and Noncognitive Determinants and Consequences of Complex Skill Acquisition , 2004 .

[47]  D. Gentner Expertise in Typewriting. , 1984 .

[48]  D. Marston,et al.  THE EFFECTIVENESS OF SPECIAL EDUCATION , 1988 .

[49]  S. Wineburg,et al.  Historical Thinking and Other Unnatural Acts: Charting the Future of Teaching the Past , 2002 .

[50]  John D. Bransford,et al.  The ideal problem solver. A guide for improving thinking, learning, and creativity , 1984 .

[51]  John R. Hayes,et al.  The Complete Problem Solver , 1981 .

[52]  J. Stanley,et al.  Mathematical Talent: Discovery, Description, and Development (MT:D3) , 1975 .

[53]  U. Goswami Analogical reasoning in children , 1993 .

[54]  Richard D. Roberts,et al.  Learning and Individual Differences: Process, Trait and Content Determinants , 1999 .

[55]  B. Vansledright,et al.  In Search of America's Past: Learning to Read History in Elementary School , 2002 .

[56]  Susanne P. Lajoie Transitions and Trajectories for Studies of Expertise , 2003 .

[57]  Robert J. Sternberg,et al.  The Nature of Mathematical Thinking , 1996 .

[58]  Patricia A. Alexander,et al.  The effects of gender, ability, and grade on analogy performance☆ , 1990 .

[59]  John Clement,et al.  Nonformal Reasoning in Science: The Use of Analogies and Extreme Cases. , 1987 .

[60]  Geaa Leinhardt,et al.  Two Texts, Three Readers: Distance and Expertise in Reading History. , 1996 .

[61]  Diane Pedrotty Rivera,et al.  Teaching Students With Learning and Behavior Problems , 1988 .

[62]  Barbara Ball,et al.  What Is Mathematical Thinking , 2002 .

[63]  T. Salthouse Expertise as the circumvention of human processing limitations. , 1991 .

[64]  P. Alexander The Development of Expertise: The Journey From Acclimation to Proficiency , 2003 .

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