This project examines the effectiveness of corrective self-explanation, or explanation of incorrect worked examples, for improving students' knowledge components for solving algebraic equations. Students in classrooms which are using the Algebra Cognitive Tutor curriculum will complete such exercises during their otherwise typical experience solving equations with the Tutor to determine whether coordination of the two instructional methods increases robust learning; as a control, other students in the classroom will receive typical self-explanation exercises (explanation of correct worked examples) or no self-explanation exercises amid their tutor problems. Robust learning will be assessed using measures of long-term retention, transfer, and accelerated future learning.
3. Research Question
Students tend to learn overgeneralized knowledge components and apply them when attempting to solve algebra problems with incorrect features. How can we help them to learn correct knowledge components?
4. Background and Significance
Siegler’s overlapping waves theory suggests that there are two important steps that are necessary to improve knowledge (Siegler, 1996): 1) Weaken the incorrect knowledge component, and 2)Construct and strengthen correct knowledge component. Two common instructional methods (procedural practice and self-explanation of correct examples) do not highlight situations in which the knowledge components are not applicable, which will not help students weaken their overgeneralized knowledge components. Self-explanation of incorrect examples (why they’re wrong) can weaken students’ overgeneralized knowledge components by helping them to understand both that the knowledge components are incorrect and what relevant features make them incorrect (e.g., Siegler, 2002).
5. Dependent Variables
Near transfer—immediate. Normal posttest in which isomorphic problems to instruction are included for students to solve. (e.g., 3x + 10 = 20, 4x/3 + 4 = 16, 2/(-5x) = 14)
Near transfer—retention. Embedded assessment within instruction by the Cognitive Tutor. We will collect log data from the review portion of the next equation-solving Tutor unit to determine whether correct knowledge components are applied.
Transfer. Problems included on the posttest in two forms: 1)Procedural format with more difficult problems/problems with additional features (e.g., 2x - 7 = -5x + 9, 4/(6x) – 7 = 32). 2) Conceptual format assessing knowledge of features (e.g., State whether each of the following is the same as 3 – 4x: a. 3 + 4x b. 3 + (-4x) c. 4x – 3 d. 4x + 3)
Accelerated Future Learning. We will collect log data during tutor instruction in the next equation-solving Tutor unit when treatment is no longer in place to determine whether the slope of the learning curve is greater for students who received the corrective self-explanation treatment.
6. Independent Variables
Two types of self-explanation exercises: 1) Typical self-explanation (explanation of correct worked examples), 2) Corrective self-explanation (explanation of incorrect worked examples)
Self-explanation of incorrect examples (why they’re wrong) combined with procedural practice can lead to robust learning through two processes: 1) Weaken low-feature validity knowledge components (know that they’re wrong and why they’re wrong) 2) Facilitate construction of high-feature validity knowledge components
None currently available
Corrective self-explanation is expected to affect students differently based on the amount and quality of their knowledge components prior to beginning the treatment. Students with high-feature validity knowledge components may not require corrective self-explanation for success; students with few relevant knowledge components of any sort (correct or incorrect) may not benefit from corrective self-explanation until they have acquired low-feature validity knowledge components in need of correction. This study will test the effects of the treatment in a diverse population to determine where and when corrective self-explanation may be most beneficial.
11. Further Information
Siegler, R. S. (2002). Microgenetic studies of self-explanations. In N. Granott & J. Parziale (Eds.), Microdevelopment: Transition processes in development and learning (pp. 31-58). New York: Cambridge University.