Diagnosing students’ misconceptions in algebra: Results from an experimental pilot study

Computer-based diagnostic assessment systems hold potential to help teachers identify sources of poor performance and to connect teachers and students to learning activities designed to help advance students’ conceptual understandings. The present article presents findings from a study that examined how students’ performance in algebra and their overcoming of common algebraic misconceptions were affected by the use of a diagnostic assessment system that focused on important algebra concepts. This study used a four-group randomized cluster trial design in which teachers were assigned randomly to one of four groups: a “business as usual” control group, a partial intervention group that was provided with access to diagnostic tests results, a partial intervention group that was provided with access to the learning activities, and a full intervention group that was given access to the test results and learning activities. Data were collected from 905 students (6th–12th grade) nested within 44 teachers. We used hierarchical linear modeling techniques to compare the effects of full, partial, and no (control) intervention on students’ algebraic ability and misconceptions. The analyses indicate that full intervention had a net positive effect on ability and misconception measures.

[1]  Michelle Kilpatrick Demaray,et al.  Teachers' Judgments of Students' Academic Functioning: A Comparison of Actual and Predicted Performances , 1998 .

[2]  Mikhail V. Matz,et al.  Towards a computational theory of algebraic competence , 1980 .

[3]  Lesley R Booth Algebra: Children's Strategies and Errors : A Report of the Strategies and Errors in Secondary Mathematics Project , 1984 .

[4]  John J. Clement,et al.  Learning Without Understanding: The Effects of Tutoring Strategies on Algebra Misconceptions , 1980 .

[5]  S. Shaw,et al.  The Accuracy of Teacher Prediction of Student Test Performance for Students Referred to Special Education. , 2000 .

[6]  Dietmar Küchemann,et al.  Children's Understanding of Numerical Variables. , 1978 .

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

[8]  T. P. Carpenter,et al.  Children's Understanding of Equality: A Foundation for Algebra , 1999 .

[9]  L. Anderson Classroom Assessment: Enhancing the Quality of Teacher Decision Making , 2002 .

[10]  N. Herscovics Cognitive Obstacles Encountered in the Learning of Algebra , 2018, Research Issues in the Learning and Teaching of Algebra.

[11]  M. MacGregor,et al.  Ideas about Symbolism That Students Bring to Algebra , 1997 .

[12]  John J. Clement,et al.  The Concept of Variation and Misconceptions in Cartesian Graphing. , 1989 .

[13]  T. P. Carpenter,et al.  Learning and teaching with understanding. , 1992 .

[14]  R. Snow,et al.  Implications of cognitive psychology for educational measurement. , 1989 .

[15]  W. Popham Classroom Assessment: What Teachers Need to Know , 1995 .

[16]  Lorrie A. Shepard,et al.  Inflated Test Score Gains: Is the Problem Old Norms or Teaching the Test? , 1990 .

[17]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[18]  W. McKeachie Implications of cognitive psychology for college teaching , 1980 .

[19]  A. Sáenz-Ludlow,et al.  Third Graders' Interpretations of Equality and the Equal Symbol , 1998 .

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

[21]  Michael Russell How Computer-Based Technology Can Disrupt the Technology of Testing and Assessment , 2002 .

[22]  Peter Rosnick,et al.  Some Misconceptions concerning the Concept of Variable. , 1981 .

[23]  Robert D. Hoge,et al.  Association Teacher-Based Judgments of Academic Achievement : A Review of Literature , 2008 .

[24]  Michael L. Fuller Teacher Judgment as Formative and Predictive Assessment of Student Performance on Ohio's Fourth and Sixth Grade Proficiency Tests. , 2000 .

[25]  Kathleen Hart,et al.  Children's Understanding of Mathematics , 1989 .

[26]  Teacher Experience and the Estimation of Student Achievement. , 1992 .

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

[28]  Jessaca Spybrook,et al.  Optimal Design for Longitudinal and Multilevel Research: Documentation for the "Optimal Design" Software , 2006 .

[29]  D. Hestenes,et al.  Force concept inventory , 1992 .

[30]  Peter W. Airasian Classroom Assessment: Concepts and Applications , 1991 .

[31]  Anthony E. Kelly,et al.  TOWARD A STABLE DIAGNOSTIC REPRESENTATION OF STUDENTS' ERRORS IN ALGEBRA , 1992 .

[32]  T. P. Carpenter,et al.  Children’s Understanding of Equality: A Foundation for Algebra: Teaching Children Mathematics , 1999 .

[33]  R. Tennant Algebra , 1941, Nature.