The Real Story Behind Story Problems: Effects of Representations on Quantitative Reasoning

This article explores how differences in problem representations change both the performance and underlying cognitive processes of beginning algebra students engaged in quantitative reasoning. Contrary to beliefs held by practitioners and researchers in mathematics education, students were more successful solving simple algebra story problems than solving mathematically equivalent equations. Contrary to some views of situated cognition, this result is not simply a consequence of situated world knowledge facilitating problem-solving performance, but rather a consequence of student difficulties with comprehending the formal symbolic representation of quantitative relations. We draw on analyses of students' strategies and errors as the basis for a cognitive process explanation of when, why, and how differences in problem representation affect problem solving. We conclude that differences in external representations can affect performance and learning when one representation is easier to comprehend than another or when one representation elicits more reliable and meaningful solution strategies than another.

[1]  C. Judd,et al.  The relation of special training and general intelligence , 1908 .

[2]  Herbert E. Hawkes,et al.  New second course in algebra , 1926 .

[3]  George Katona,et al.  Organizing and memorizing , 1940 .

[4]  Daniel G. Bobrow,et al.  Natural Language Input for a Computer Problem Solving System , 1964 .

[5]  A. Reber Implicit learning of artificial grammars , 1967 .

[6]  Marvin Minsky,et al.  Semantic Information Processing , 1968 .

[7]  H. H. Clark The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. , 1973 .

[8]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[9]  Robert E. Reys,et al.  Solving Verbal Problems: Results and Implications from National Assessment. , 1980 .

[10]  James Hiebert,et al.  The Position of the Unknown Set and Children's Solutions of Verbal Arithmetic Problems. , 1982 .

[11]  John J. Clement,et al.  Algebra Word Problem Solutions: Thought Processes Underlying a Common Misconception , 1982 .

[12]  Richard E. Mayer,et al.  Memory for algebra story problems. , 1982 .

[13]  Richard E. Mayer,et al.  Different Problem-Solving Strategies for Algebra Word and Equation Problems. , 1982 .

[14]  Tom Hudson,et al.  Correspondences and Numerical Differences between Disjoint Sets. , 1983 .

[15]  James G. Greeno,et al.  Forms of understanding in mathematical problem-solving , 1983 .

[16]  Gary M. Olson,et al.  Learning and motivation in the classroom , 1983 .

[17]  Diane J. Briars,et al.  An integrated model of skill in solving elementary word problems cognition and instruction , 1984 .

[18]  B. Bloom The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring , 1984 .

[19]  James M. Moser,et al.  The Acquisition of Addition and Subtraction Concepts in Grades One through Three. , 1984 .

[20]  Derek H. Sleeman,et al.  An Attempt to Understand Students' Understanding of Basic Algebra , 1984, Cogn. Sci..

[21]  W Kintsch,et al.  Understanding and solving word arithmetic problems. , 1985, Psychological review.

[22]  H. Simon,et al.  Why are some problems hard? Evidence from Tower of Hanoi , 1985, Cognitive Psychology.

[23]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987, Cogn. Sci..

[24]  David W. Carraher,et al.  Written and Oral Mathematics. , 1987 .

[25]  R. Mayer,et al.  Students' miscomprehension of relational statements in arithmetic word problems. , 1987 .

[26]  L. Resnick The 1987 Presidential Address Learning In School and Out , 1987 .

[27]  W. Kintsch,et al.  The role of understanding in solving word problems , 1988, Cognitive Psychology.

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

[29]  James G. Greeno,et al.  Developmental analysis of understanding language about quantities and of solving problems. , 1988 .

[30]  D. Kibler,et al.  Exploring the Episodic Structure of Algebra Story Problem Solving , 1989 .

[31]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[32]  David H. Kirshner The Visual Syntax of Algebra. , 1989 .

[33]  Michelle Perry,et al.  Activation of Real-World Knowledge in the Solution of Word Problems , 1989 .

[34]  E. Pellicer Anchored Instruction and Its Relationship to Situated Cognition , 1990 .

[35]  N. Cole Conceptions of Educational Achievement , 1990 .

[36]  John R. Anderson,et al.  Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry , 1990, Cogn. Sci..

[37]  Stephen J. Payne,et al.  Algebra Mal-Rules and Cognitive Accounts of Error , 1990, Cogn. Sci..

[38]  John R. Anderson,et al.  Learning Artificial Grammars With Competitive Chunking , 1990 .

[39]  Carolyn Kieran The learning and teaching of school algebra. , 1992 .

[40]  Mitchell J. Nathan,et al.  A theory of algebra-word-problem comprehension and its implications for the design of learning environments. , 1992 .

[41]  David W. Carraher,et al.  Street mathematics and school mathematics , 1993 .

[42]  Dianne C. Berry,et al.  Implicit Learning , 1993 .

[43]  M. Alibali,et al.  Gesture-Speech Mismatch and Mechanisms of Learning: What the Hands Reveal about a Child′s State of Mind , 1993, Cognitive Psychology.

[44]  John R. Anderson,et al.  Rules of the Mind , 1993 .

[45]  Jiajie Zhang,et al.  Representations in Distributed Cognitive Tasks , 1994, Cogn. Sci..

[46]  David C. Webb,et al.  Learning by Understanding: The Role of Multiple Representations in Learning Algebra , 1995 .

[47]  Carolyn Kieran,et al.  Approaches to Algebra - Perspectives for Research and Teaching , 1996 .

[48]  David C. Geary,et al.  Children's Mathematical Development: Research and Practical Applications , 1996 .

[49]  Irvin R. Katz,et al.  Differences in Strategies Used to Solve Stem-Equivalent Constructed-Response and Multiple-Choice SAT-Mathematics Items , 1996 .

[50]  Wolff-Michael Roth,et al.  Where is the Context in Contextual Word Problems?: Mathematical Practices and Products in Grade 8 Students' Answers to Story Problems. , 1996 .

[51]  N. Bednarz,et al.  Emergence and Development of Algebra as a Problem-Solving Tool: Continuities and Discontinuities with Arithmetic , 1996 .

[52]  Carolyn Kieran,et al.  Approaches to Algebra , 1996 .

[53]  R. Siegler,et al.  Older and younger adults' strategy choices in multiplication: testing predictions of ASCM using the choice/no-choice method. , 1997, Journal of experimental psychology. General.

[54]  Mary A. Mark,et al.  An Interview Reflection on “Intelligent Tutoring Goes to School in the Big City” , 2015, International Journal of Artificial Intelligence in Education.

[55]  John D. Bransford,et al.  The Jasper Project: Lessons in Curriculum, Instruction, Assessment, and Professional Development , 1997 .

[56]  Walter Kintsch,et al.  Comprehension: A Paradigm for Cognition , 1998 .

[57]  J. Greeno THE SITUATIVITY OF KNOWING, LEARNING, AND RESEARCH , 1998 .

[58]  Stephen K. Reed Word Problems: Research and Curriculum Reform , 1998 .

[59]  Weinert, F.E./Helmke, A. (1997): Entwicklung im Grundschulalter. Weinheim: Psychologie Verlags Union (597 Seiten; DM 74,–) [Rezension] , 1999 .

[60]  Peter C.-H. Cheng Interactive Law Encoding Diagrams for learning and instruction , 1999 .

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

[62]  Kenneth R. Koedinger,et al.  An Investigation of Teachers' Beliefs of Students' Algebra Development , 2000, Cognition and Instruction.

[63]  Kenneth R. Koedinger,et al.  Teachers' and Researchers' Beliefs about the Development of Algebraic Reasoning. , 2000 .

[64]  Moving beyond Teachers' Intuitive Beliefs about Algebra Learning. , 2000 .

[65]  Thomas P. Carpenter,et al.  Developing Conceptions of Algebraic Reasoning in the Primary Grades. Research Report. , 2000 .

[66]  A. Su,et al.  The National Council of Teachers of Mathematics , 1932, The Mathematical Gazette.

[67]  Mitchell J. Nathan,et al.  Expert Blind Spot : When Content Knowledge Eclipses Pedagogical Content Knowledge , 2001 .

[68]  J. H. McMillan Annual Meeting of the American Educational Research , 2001 .

[69]  Martha W. Alibali,et al.  The Symbol Precedence View of Mathematical Development: A Corpus Analysis of the Rhetorical Structure of Textbooks , 2002 .

[70]  최영한,et al.  미국 NCTM의 Principles and Standards for School Mathematics에 나타난 수학과 교수,학습의 이론 , 2002 .

[71]  Kenneth R. Koedinger,et al.  When and Why Does Mastery Learning Work: Instructional Experiments with ACT-R "SimStudents" , 2002, Intelligent Tutoring Systems.

[72]  Sandra L. Hagen-Ansert Monitoring Student Progress , 2002 .

[73]  Kenneth R. Koedinger,et al.  A Cognitive Task Analysis of Using Pictures To Support Pre-Algebraic Reasoning , 2002 .

[74]  Kenneth R. Koedinger,et al.  Toward a theoretical account of strategy use and sense-making in mathematics problem solving , 1994 .