The purpose of this paper is to argue that attention to students' ways of thinking should complement a focus on students' understanding of specific mathematical content, and that attention to these issues can be leveraged to model the development of mathematical knowledge over time using learning trajectories. To illustrate the importance of ways of thinking, we draw on Harel's (2008a, 2008b) description of mathematical knowledge as comprised of ways of thinking and ways of understanding. We use data to illustrate the explanatory and descriptive power that attention to the duality of ways of understanding and ways of thinking provides, and we propose suggestions for constructing learning trajectories in mathematics education research.
This experiment examined the impact that explicit instruction in heuristic strategies, above and beyond problem-solving experience, has on students' problem-solving performance. Two groups of students received training in problem solving, spent the same amount of time working on the same problems, and saw identical problem solutions. But half the students were given a list of five problem-solving strategies and were shown explicitly how the strategies were used. The heuristics group significantly outperformed the other students on posttest problems that were similar to, but not isomorphic to, those used in the problem sets. This lends credence to the idea that explicit instruction in heuristics makes a difference--an idea further supported by the transcripts of students solving the problems out loud.
We hypothesize that students’ engagement in tasks which require them to track two sources of information simultaneously are propitious for their envisioning graphs as composed of points, each of which record the simultaneous state of two quantities that covary continuously. We investigated this hypothesis in a teaching experiment involving one 8th-grade student. Details of the student’s experience and an analysis of his development are presented.
I first provide a bit of historical background on a theory of students’ development of algebraic reasoning through quantitative reasoning. The quantitative reasoning part of the theory gained some popularity, but its most important features (at least in my thinking), the parts explicitly related to algebraic reasoning, received little notice. I then point to important work that extended the quantitative reasoning part of this theory in important ways (e.g., Lobato, Reed, Ellis, Norton, Castillo-Garsow, and Moore) and discuss how the “little noticed” aspects could inform that work in useful ways. I also discuss how a focus in school mathematics on quantitative reasoning and its extension into algebra could be leveraged with regard to students’ engagement in authentic mathematical modeling. Finally, I extend the theory of quantitative reasoning, with a focus on quantitative covariation, to include reasoning with magnitudes and discuss examples of how rich, coherent understandings of magnitudes can be foundational for advanced reasoning in analytic geometry, calculus, differential equations, and analysis.
Combinatorial enumeration has a variety of important applications, but there is much evidence indicating that students struggle with solving counting problems. In this paper, the use of the problem-solving heuristic of solving smaller, similar problems is tied to students' facility with sets of outcomes. Drawing upon student data from clinical interviews in which post-secondary students solved counting problems, evidence is given for how numerical reduction of parameters can allow for a more concrete grasp of outcomes. The case is made that the strategy is particularly useful within the area of combinatorics, and avenues for further research are discussed.
This study investigated the development of length measurement ideas in students from prekindergarten through 2nd grade. The main purpose was to evaluate and elaborate the developmental progression, or levels of thinking, of a hypothesized learning trajectory for length measurement to ensure that the sequence of levels of thinking is consistent with observed behaviors of most young children. The findings generally validate the developmental progression, including the tasks and the mental actions on objects that define each level, with several elaborations of the levels of thinking and minor modifications of the levels themselves.
A longitudinal teaching experiment was conducted with six third graders to analyze the itinerary of their ways of operating while solving fraction tasks. These children's quantitative reasoning with fractions was based on their quantitative reasoning with natural numbers. They solved fraction tasks in similar ways, though with different degrees of sophistication, depending on their sophistication in working with natural numbers. Their consistent method of operating indicated that they constructed fraction schemes that had the characteristic of being developmental, in the sense that prior schemes were the cornerstones of new ones. This article presents the constructive itinerary of one of the most advanced children in the group, Michael.